Abstract
ABSTRACT: Unmanned Aerial Vehicle (UAV)-assisted Internet of Things application communication is an emerging concept that effectuate the foreknowledge of innovative technologies. With the accelerated advancements in IoT applications, the importance of this technology became more impactful and persistent. Moreover, this technology have demonstrated useful contributions across various domains, ranging from general to specific applications. Examples include wildfire monitoring, coastal area monitoring, deforestation monitoring, and sensitive military operations, where human access is limited or not feasible. These examples underscore the technology’s importance in scenarios where direct human involvement is challenging or impossible. Although this technology offers numerous benefits, it is essential to note that it also faces several challenges. Among these, Quality of Service (QoS) is a key concern, which limits its useability in various applications. Unfortunately, most researchers in the present literature have overlooked this important factor without giving it considerable attention. To fill this gap, we are presenting a systematic review of the present literature associated with the QoS metrics of this emerging technology from 2015 to 2023 to highlight their contributions and limitations. Based on the systematic review, we highlight the open challenges of this technology to set a roadmap for futuristic research. Finally, we compared each portion of this work with the previously published review articles to confirm the essence of this work, along with an explanation of why this survey is needed and in-time.
- Aly Sabri Abdalla, Keith Powell, Vuk Marojevic, and Giovanni Geraci. 2020. UAV-assisted attack prevention, detection, and recovery of 5G networks. IEEE Wireless Communications 27, 4 (2020), 40–47.Google ScholarCross Ref
- Muhammad Adil, Jehad Ali, Muhammad Attique, Muhammad Mohsin Jadoon, Safia Abbas, Sattam Rabia Alotaibi, Varun G Menon, and Ahmed Farouk. 2021. Three byte-based mutual authentication scheme for autonomous Internet of Vehicles. IEEE Transactions on Intelligent Transportation Systems 23, 7(2021), 9358–9369.Google ScholarDigital Library
- M. Adil, M. A. Almaiah, A. Omar Alsayed, and O. Almomani. 2020. An anonymous channel categorization scheme of edge nodes to detect jamming attacks in wireless sensor networks. Sensors 20, 8 (2020), 2311.Google ScholarCross Ref
- Muhammad Adil, Hani Alshahrani, Adel Rajab, Asadullah Shaikh, Houbing Song, and Ahmed Farouk. 2022. QoS review: smart sensing in wake of COVID-19, current trends and specifications with future research directions. IEEE Sensors Journal 23, 2 (2022), 865–876.Google ScholarCross Ref
- Muhammad Adil, Mian Ahmad Jan, Yongxin Liu, Hussein Abulkasim, Ahmed Farouk, and Houbing Song. 2022. A Systematic Survey: Security Threats to UAV-Aided IoT Applications, Taxonomy, Current Challenges and Requirements With Future Research Directions. IEEE Transactions on Intelligent Transportation Systems 24, 2(2022), 1437–1455.Google Scholar
- M. Adil, H. Song, J. Ali, and M. A. Jan. 2022. Enhanced-AODV: A Robust Three-Phase Priority-Based Traffic Load Balancing Scheme for Internet of Things. (Journal name) (2022).Google Scholar
- Muhammad Adil, Houbing Song, Spyridon Mastorakis, Hussein Abulkasim, Ahmed Farouk, and Zhanpeng Jin. 2023. UAV-Assisted IoT Applications, Cybersecurity Threats, AI-Enabled Solutions, Open Challenges With Future Research Directions. IEEE Transactions on Intelligent Vehicles(2023).Google Scholar
- S. Aggarwal and N. Kumar. 2020. Path planning techniques for unmanned aerial vehicles: A review, solutions, and challenges. Computer Communications 149 (2020), 270–299.Google ScholarDigital Library
- F. Al-Turjman, M. Abujubbeh, A. Malekloo, and L. Mostarda. 2020. UAVs assessment in software-defined IoT networks: An overview. Computer Communications 150 (2020), 519–536.Google ScholarDigital Library
- Moayad Aloqaily, Ouns Bouachir, Azzedine Boukerche, and Ismaeel Al Ridhawi. 2021. Design guidelines for blockchain-assisted 5G-UAV networks. IEEE network 35, 1 (2021), 64–71.Google ScholarDigital Library
- A. I. Alshbatat and L. Dong. 2010. Adaptive MAC protocol for UAV communication networks using directional antennas. In 2010 International Conference on Networking, Sensing and Control (ICNSC). IEEE, 598–603.Google Scholar
- Bander Alzahrani, Omar Sami Oubbati, Ahmed Barnawi, Mohammed Atiquzzaman, and Daniyal Alghazzawi. 2020. UAV assistance paradigm: State-of-the-art in applications and challenges. Journal of Network and Computer Applications 166 (2020), 102706.Google ScholarCross Ref
- Mohamed Alzenad, Amr El-Keyi, Faraj Lagum, and Halim Yanikomeroglu. 2017. 3-D placement of an unmanned aerial vehicle base station (UAV-BS) for energy-efficient maximal coverage. IEEE Wireless Communications Letters 6, 4 (2017), 434–437.Google ScholarCross Ref
- Muhammad Yeasir Arafat, Md Arafat Habib, and Sangman Moh. 2020. Routing protocols for UAV-aided wireless sensor networks. Applied Sciences 10, 12 (2020), 4077.Google ScholarCross Ref
- Muhammad Yeasir Arafat and Sangman Moh. 2018. Location-aided delay tolerant routing protocol in UAV networks for post-disaster operation. IEEE Access 6(2018), 59891–59906.Google ScholarCross Ref
- M. Y. Arafat and S. Moh. 2018. A survey on cluster-based routing protocols for unmanned aerial vehicle networks. IEEE Access 7(2018), 498–516.Google ScholarCross Ref
- Georgia E Athanasiadou, Michael C Batistatos, Dimitra A Zarbouti, and George V Tsoulos. 2019. LTE ground-to-air field measurements in the context of flying relays. IEEE Wireless Communications 26, 1 (2019), 12–17.Google ScholarCross Ref
- NZ Azeemi. 2021. Cooperative Trajectory and Launch Power Optimization of UAV Deployed in Cross-Platform Battlefields. International Association of Engineers, Engineering Letters 29, 1(2021), 57–68.Google Scholar
- S. J. Basha and J. M. R. Danda. 2021. A Review on Challenges and Threats to Unmanned Aerial Vehicles (UAVs). In Unmanned Aerial Vehicles for Internet of Things (IoT) Concepts, Techniques, and Applications. 89–104.Google Scholar
- Nouman Bashir, Saadi Boudjit, Gabriel Dauphin, and Sherali Zeadally. 2023. An obstacle avoidance approach for UAV path planning. Simulation Modelling Practice and Theory 129 (2023), 102815.Google ScholarCross Ref
- M. Behrisch, L. Bieker, J. Erdmann, and D. Krajzewicz. 2011. SUMO–simulation of urban mobility: an overview. In Proceedings of SIMUL 2011, The Third International Conference on Advances in System Simulation. ThinkMind.Google Scholar
- Oussama Bekkouche, Miloud Bagaa, and Tarik Taleb. 2019. Toward a UTM-based service orchestration for UAVs in MEC-NFV environment. In 2019 IEEE Global Communications Conference (GLOBECOM). IEEE, 1–6.Google ScholarDigital Library
- Petros S Bithas, Emmanouel T Michailidis, Nikolaos Nomikos, Demosthenes Vouyioukas, and Athanasios G Kanatas. 2019. A survey on machine-learning techniques for UAV-based communications. Sensors 19, 23 (2019), 5170.Google ScholarCross Ref
- A. D. Boursianis, M. S. Papadopoulou, P. Diamantoulakis, A. Liopa-Tsakalidi, P. Barouchas, G. Salahas, and S. K. Goudos. 2020. Internet of things (IoT) and agricultural unmanned aerial vehicles (UAVs) in smart farming: a comprehensive review. Internet of Things (2020), 100187.Google Scholar
- J. Casado, J. L. González, A. Tayebi, J. Gómez, and F. S. de Adana. 2019. Application of Bioinspired Algorithms for the Optimization of a Radio Propagation System Simulator Based on OpenStreetMap. In ACCSE 2019 International Conference on Advances in Computation, Communications and Services.Google Scholar
- German Castellanos, Margot Deruyck, Luc Martens, and Wout Joseph. 2020. System assessment of WUSN using NB-IoT UAV-aided networks in potato crops. IEEE Access 8(2020), 56823–56836.Google ScholarCross Ref
- V. Chamola, P. Kotesh, A. Agarwal, N. Gupta, and M. Guizani. 2021. A comprehensive review of unmanned aerial vehicle attacks and neutralization techniques. Ad hoc networks 111(2021), 102324.Google Scholar
- P. Chandhar, D. Danev, and E. G. Larsson. 2016. Massive MIMO as enabler for communications with drone swarms. In 2016 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, 347–354.Google ScholarCross Ref
- Sang-Yoon Chang, Kyungmin Park, Jonghyun Kim, and Jinoh Kim. 2023. Securing UAV Flying Base Station for Mobile Networking: A Review. Future Internet 15, 5 (2023), 176.Google ScholarCross Ref
- Sang-Yoon Chang, Kyungmin Park, Jonghyun Kim, and Jinoh Kim. 2023. Towards Securing UAV Flying Base Station: Misplacement Impact Analyses on Battery and Power. In Proceedings of the 2023 on Systems and Network Telemetry and Analytics. 3–8.Google ScholarDigital Library
- Nan Cheng, Feng Lyu, Wei Quan, Conghao Zhou, Hongli He, Weisen Shi, and Xuemin Shen. 2019. Space/aerial-assisted computing offloading for IoT applications: A learning-based approach. IEEE Journal on Selected Areas in Communications 37, 5(2019), 1117–1129.Google ScholarCross Ref
- N. Cheng, S. Wu, X. Wang, Z. Yin, C. Li, W. Chen, and F. Chen. 2023. AI for UAV-Assisted IoT Applications: A Comprehensive Review. IEEE Internet of Things Journal(2023).Google Scholar
- G. Choudhary, V. Sharma, T. Gupta, J. Kim, and I. You. 2018. Internet of Drones (IoD): threats, vulnerability, and security perspectives. arXiv preprint arXiv:1808.00203(2018).Google Scholar
- M. M. U. Chowdhury, S. J. Maeng, E. Bulut, and I. Güvenç. 2020. 3-D trajectory optimization in UAV-assisted cellular networks considering antenna radiation pattern and backhaul constraint. IEEE Trans. Aerospace Electron. Systems 56, 5 (2020), 3735–3750.Google ScholarCross Ref
- Burak Han Çorak, İbrahim Kök, and Suat Özdemir. 2021. A Novel Low-Latency and Cost-Effective Communication Protocol Design for Internet of Flying Things. In 2021 International Symposium on Networks, Computers and Communications (ISNCC). IEEE, 1–6.Google ScholarCross Ref
- Estefania Coronado, Gabriel Cebrian-Marquez, and Roberto Riggio. 2019. Enabling computation offloading for autonomous and assisted driving in 5G networks. In 2019 IEEE Global Communications Conference (GLOBECOM). IEEE, 1–6.Google ScholarDigital Library
- H. Dai, H. Bian, C. Li, and B. Wang. 2020. UAV-aided wireless communication design with energy constraint in space-air-ground integrated green IoT networks. IEEE Access 8(2020), 86251–86261.Google ScholarCross Ref
- Hoang T Dinh, Chonho Lee, Dusit Niyato, and Ping Wang. 2013. A survey of mobile cloud computing: architecture, applications, and approaches. Wireless communications and mobile computing 13, 18(2013), 1587–1611.Google Scholar
- K. Doddapaneni and E. Ever. 2020. A survey study on MAC and routing protocols to facilitate energy efficient and effective UAV-based communication systems. In Drones in Smart-Cities. Elsevier, 57–77.Google Scholar
- Yanjie Dong, Md Zoheb Hassan, Julian Cheng, Md Jahangir Hossain, and Victor CM Leung. 2018. An edge computing empowered radio access network with UAV-mounted FSO fronthaul and backhaul: Key challenges and approaches. IEEE Wireless Communications 25, 3 (2018), 154–160.Google ScholarCross Ref
- W. Feng, J. Wang, Y. Chen, X. Wang, N. Ge, and J. Lu. 2018. UAV-aided MIMO communications for 5G Internet of Things. IEEE Internet of Things Journal 6, 2 (2018), 1731–1740.Google ScholarCross Ref
- Aidin Ferdowsi, Mohamed A Abd-Elmagid, Walid Saad, and Harpreet S Dhillon. 2021. Neural combinatorial deep reinforcement learning for age-optimal joint trajectory and scheduling design in UAV-assisted networks. IEEE Journal on Selected Areas in Communications 39, 5(2021), 1250–1265.Google ScholarCross Ref
- A. Fotouhi, M. Ding, and M. Hassan. 2017. Understanding autonomous drone maneuverability for internet of things applications. In 2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM). 1–6.Google Scholar
- Azade Fotouhi, Haoran Qiang, Ming Ding, Mahbub Hassan, Lorenzo Galati Giordano, Adrian Garcia-Rodriguez, and Jinhong Yuan. 2019. Survey on UAV cellular communications: Practical aspects, standardization advancements, regulation, and security challenges. IEEE Communications surveys & tutorials 21, 4 (2019), 3417–3442.Google Scholar
- Abdurrahman Fouda, Ahmed S Ibrahim, Ísmail Güvenç, and Monisha Ghosh. 2019. Interference management in UAV-assisted integrated access and backhaul cellular networks. IEEE Access 7(2019), 104553–104566.Google ScholarCross Ref
- Mirmojtaba Gharibi, Raouf Boutaba, and Steven L Waslander. 2016. Internet of drones. IEEE Access 4(2016), 1148–1162.Google ScholarCross Ref
- D. Gura, V. Rukhlinskiy, V. Sharov, and A. Bogoyavlenskiy. 2021. Automated system for dispatching the movement of unmanned aerial vehicles with a distributed survey of flight tasks. Journal of Intelligent Systems 30, 1 (2021), 728–738.Google ScholarCross Ref
- Hassan Jalil Hadi, Yue Cao, Khaleeq Un Nisa, Abdul Majid Jamil, and Qiang Ni. 2023. A comprehensive survey on security, privacy issues and emerging defence technologies for UAVs. Journal of Network and Computer Applications 213 (2023), 103607.Google ScholarDigital Library
- Sang Ik Han. 2022. Survey on UAV deployment and trajectory in wireless communication networks: applications and challenges. Information 13, 8 (2022), 389.Google ScholarCross Ref
- M. Hooper, Y. Tian, R. Zhou, B. Cao, A. P. Lauf, L. Watkins, and W. Alexis. 2016. Securing commercial wifi-based UAVs from common security attacks. In MILCOM 2016-2016 IEEE Military Communications Conference. InsertPageNumbersHere.Google Scholar
- Dongdong Huang, Miao Cui, Guangchi Zhang, Xiaoli Chu, and Fan Lin. 2020. Trajectory optimization and resource allocation for UAV base stations under in-band backhaul constraint. EURASIP Journal on Wireless Communications and Networking 2020 (2020), 1–17.Google ScholarDigital Library
- Bin Jiang, Jiachen Yang, Huifang Xu, Houbing Song, and Gan Zheng. 2018. Multimedia data throughput maximization in Internet-of-Things system based on optimization of cache-enabled UAV. IEEE Internet of Things Journal 6, 2 (2018), 3525–3532.Google ScholarCross Ref
- S. Jobaer, Y. Zhang, M. A. Iqbal Hussain, and F. Ahmed. 2020. UAV-assisted hybrid scheme for urban road safety based on VANETs. Electronics 9, 9 (2020), 1499.Google ScholarCross Ref
- Efstratios Kakaletsis, Charalampos Symeonidis, Maria Tzelepi, Ioannis Mademlis, Anastasios Tefas, Nikos Nikolaidis, and Ioannis Pitas. 2021. Computer vision for autonomous UAV flight safety: An overview and a vision-based safe landing pipeline example. Acm Computing Surveys (Csur) 54, 9 (2021), 1–37.Google ScholarDigital Library
- S. Khan, M. Zeeshan, and Y. Ayaz. 2020. Implementation and analysis of MultiCode MultiCarrier Code Division Multiple Access (MC–MC CDMA) in IEEE 802.11 ah for UAV Swarm communication. Physical Communication 42 (2020), 101159.Google ScholarCross Ref
- Shah Khalid Khan, Usman Naseem, Haris Siraj, Imran Razzak, and Muhammad Imran. 2021. The role of unmanned aerial vehicles and mmWave in 5G: Recent advances and challenges. Transactions on Emerging Telecommunications Technologies 32, 7(2021), e4241.Google ScholarDigital Library
- Shreya Khisa and Sangman Moh. 2020. Medium access control protocols for the Internet of Things based on unmanned aerial vehicles: a comparative survey. Sensors 20, 19 (2020), 5586.Google ScholarCross Ref
- Aziz Altaf Khuwaja, Yunfei Chen, Nan Zhao, Mohamed-Slim Alouini, and Paul Dobbins. 2018. A survey of channel modeling for UAV communications. IEEE Communications Surveys & Tutorials 20, 4 (2018), 2804–2821.Google ScholarDigital Library
- Jože Košmerl and Andrej Vilhar. 2014. Base stations placement optimization in wireless networks for emergency communications. In 2014 IEEE international conference on communications workshops (ICC). IEEE, 200–205.Google ScholarCross Ref
- Harrison Kurunathan, Hailong Huang, Kai Li, Wei Ni, and Ekram Hossain. 2023. Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey. IEEE Communications Surveys & Tutorials(2023).Google Scholar
- Demeke Shumeye Lakew, Arooj Masood, and Sungrae Cho. 2020. 3D UAV placement and trajectory optimization in UAV assisted wireless networks. In 2020 International Conference on Information Networking (ICOIN). IEEE, 80–82.Google ScholarCross Ref
- D. S. Lakew, A. Masood, and S. Cho. 2020. 3D UAV Placement and Trajectory Optimization in UAV Assisted Wireless Networks. In 2020 International Conference on Information Networking (ICOIN). IEEE, 80–82.Google Scholar
- Bin Li, Zesong Fei, Yan Zhang, and Mohsen Guizani. 2019. Secure UAV communication networks over 5G. IEEE Wireless Communications 26, 5 (2019), 114–120.Google ScholarCross Ref
- Bin Li, Xianzhen Guo, Ruonan Zhang, Xiaojiang Du, and Mohsen Guizani. 2020. Performance analysis and optimization for the MAC protocol in UAV-based IoT network. IEEE Transactions on Vehicular Technology 69, 8 (2020), 8925–8937.Google ScholarCross Ref
- C. Li, Z. Gao, J. Xia, D. Deng, and L. Fan. 2020. Cache-enabled physical-layer secure game against smart UAV-assisted attacks in B5G NOMA networks. EURASIP Journal on Wireless Communications and Networking 2020, 1(2020), 1–9.Google ScholarDigital Library
- Jiahui Li, Geng Sun, Lingjie Duan, and Qingqing Wu. 2023. Multi-Objective Optimization for UAV Swarm-Assisted IoT with Virtual Antenna Arrays. IEEE Transactions on Mobile Computing(2023).Google Scholar
- X. Li, W. Feng, Y. Chen, C. X. Wang, and N. Ge. 2020. Maritime coverage enhancement using UAVs coordinated with hybrid satellite-terrestrial networks. IEEE Transactions on Communications 68, 4 (2020), 2355–2369.Google ScholarCross Ref
- W. Y. B. Lim, S. Garg, Z. Xiong, Y. Zhang, D. Niyato, C. Leung, and C. Miao. 2021. UAV-Assisted Communication Efficient Federated Learning in the Era of the Artificial Intelligence of Things. IEEE Network 35, 5 (2021), 188–195.Google ScholarDigital Library
- Miao Liu, Jie Yang, and Guan Gui. 2019. DSF-NOMA: UAV-assisted emergency communication technology in a heterogeneous Internet of Things. IEEE Internet of Things Journal 6, 3 (2019), 5508–5519.Google ScholarCross Ref
- Q. Liu, L. Shi, L. Sun, J. Li, M. Ding, and F. Shu. 2020. Path planning for UAV-mounted mobile edge computing with deep reinforcement learning. IEEE Transactions on Vehicular Technology 69, 5 (2020), 5723–5728.Google ScholarCross Ref
- X. Liu, M. Chen, Y. Liu, Y. Chen, S. Cui, and L. Hanzo. 2020. Artificial intelligence aided next-generation networks relying on UAVs. IEEE Wireless Communications 28, 1 (2020), 120–127.Google ScholarCross Ref
- Xin Liu, Biaojun Lai, Bin Lin, and Victor CM Leung. 2022. Joint communication and trajectory optimization for multi-UAV enabled mobile internet of vehicles. IEEE Transactions on Intelligent Transportation Systems 23, 9(2022), 15354–15366.Google ScholarDigital Library
- Xiao Ma, Chuang Lin, Han Zhang, and Jianwei Liu. 2018. Energy-aware computation offloading of IoT sensors in cloudlet-based mobile edge computing. Sensors 18, 6 (2018), 1945.Google ScholarCross Ref
- S. K. Maakar, M. Khurana, C. Chakraborty, D. Sinwar, and D. Srivastava. 2021. Performance evaluation of AODV and DSR routing protocols for flying ad hoc network using highway mobility model. Journal of Circuits, Systems and Computers(2021), 2250008.Google Scholar
- V. Mahandran, H. Raghuram, and P. T. Nathan. 2016. Geophagy by the Indian short-nosed fruit bat, Cynopterus sphinx (Pteropodidae) while foraging on Madhuca latifolia (Sapotaceae) in Tamil Nadu, South India. Acta ethologica 19, 1 (2016), 95–99.Google Scholar
- M. Mahbub. 2020. UAV Assisted 5G Het-Net: A Highly Supportive Technology for 5G NR Network Enhancement. EAI Endorsed Transactions on Internet of Things 6, 22 (2020).Google ScholarCross Ref
- M. Maimaitijiang, V. Sagan, P. Sidike, A. M. Daloye, H. Erkbol, and F. B. Fritschi. 2020. Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning. Remote Sensing 12, 9 (2020), 1357.Google ScholarCross Ref
- Parijata Majumdar, Diptendu Bhattacharya, Sanjoy Mitra, and Bharat Bhushan. 2023. Application of Green IoT in Agriculture 4.0 and Beyond: Requirements, Challenges and Research Trends in the Era of 5G, LPWANs and Internet of UAV Things. Wireless Personal Communications(2023), 1–50.Google Scholar
- Mario Marchese, Aya Moheddine, and Fabio Patrone. 2019. IoT and UAV integration in 5G hybrid terrestrial-satellite networks. Sensors 19, 17 (2019), 3704.Google ScholarCross Ref
- Mehrdad Moradi, Karthikeyan Sundaresan, Eugene Chai, Sampath Rangarajan, and Z Morley Mao. 2018. SkyCore: Moving core to the edge for untethered and reliable UAV-based LTE networks. In Proceedings of the 24th Annual International Conference on Mobile Computing and Networking. 35–49.Google ScholarDigital Library
- N. H. Motlagh, T. Taleb, and O. Arouk. 2016. Low-altitude unmanned aerial vehicles-based internet of things services: Comprehensive survey and future perspectives. IEEE Internet of Things Journal 3, 6 (2016), 899–922.Google ScholarCross Ref
- Mohammad Mozaffari, Walid Saad, Mehdi Bennis, Young-Han Nam, and Mérouane Debbah. 2019. A tutorial on UAVs for wireless networks: Applications, challenges, and open problems. IEEE communications surveys & tutorials 21, 3 (2019), 2334–2360.Google Scholar
- A. Mukherjee, N. Dey, and D. De. 2020. EdgeDrone: QoS aware MQTT middleware for mobile edge computing in opportunistic Internet of Drone Things. Computer Communications 152 (2020), 93–108.Google ScholarCross Ref
- R. L. Musselman and S. E. Watkins. 2017. Antenna design for small UAV locator applications. (2017).Google Scholar
- Syed Ahsan Raza Naqvi, Syed Ali Hassan, Haris Pervaiz, and Qiang Ni. 2018. Drone-aided communication as a key enabler for 5G and resilient public safety networks. IEEE Communications Magazine 56, 1 (2018), 36–42.Google ScholarCross Ref
- Dinh C Nguyen, Pubudu N Pathirana, Ming Ding, and Aruna Seneviratne. 2021. Secure computation offloading in blockchain based IoT networks with deep reinforcement learning. IEEE Transactions on Network Science and Engineering 8, 4(2021), 3192–3208.Google ScholarCross Ref
- Dinh Dung Nguyen, Jozsef Rohacs, and Daniel Rohacs. 2021. Autonomous flight trajectory control system for drones in smart city traffic management. ISPRS International Journal of Geo-Information 10, 5(2021), 338.Google ScholarCross Ref
- Tri Minh Nguyen, Wessam Ajib, and Chadi Assi. 2018. A novel cooperative NOMA for designing UAV-assisted wireless backhaul networks. IEEE Journal on Selected Areas in Communications 36, 11(2018), 2497–2507.Google ScholarCross Ref
- Zhisheng Niu, Xuemin S Shen, Qinyu Zhang, and Yuliang Tang. 2020. Space-air-ground integrated vehicular network for connected and automated vehicles: Challenges and solutions. Intelligent and Converged Networks 1, 2 (2020), 142–169.Google ScholarCross Ref
- O. S. Oubbati, M. Atiquzzaman, T. A. Ahanger, and A. Ibrahim. 2020. Softwarization of UAV networks: A survey of applications and future trends. IEEE Access 8(2020), 98073–98125.Google ScholarCross Ref
- Rambod Pakrooh and Ali Bohlooli. 2021. A survey on unmanned aerial vehicles-assisted internet of things: A service-oriented classification. Wireless Personal Communications 119 (2021), 1541–1575.Google ScholarDigital Library
- Miaoxin Pan, Chongcheng Chen, Xiaojun Yin, and Zhengrui Huang. 2021. UAV-aided emergency environmental monitoring in infrastructure-less areas: LoRa mesh networking approach. IEEE Internet of Things Journal 9, 4 (2021), 2918–2932.Google ScholarCross Ref
- Kirtan Gopal Panda, Shrayan Das, Debarati Sen, and Wasim Arif. 2019. Design and deployment of UAV-aided post-disaster emergency network. IEEE Access 7(2019), 102985–102999.Google ScholarCross Ref
- Gaurav Kumar Pandey, Devendra Singh Gurjar, Ha H Nguyen, and Suneel Yadav. 2022. Security threats and mitigation techniques in UAV communications: A comprehensive survey. IEEE Access 10(2022), 112858–112897.Google ScholarCross Ref
- L. Penserini, E. Tonucci, G. Ippoliti, and J. Di Labbio. 2017. Development framework for DRONEs as smart autonomous systems. In 2017 8th International Conference on Information, Intelligence, Systems & Applications (IISA). IEEE, 1–6.Google Scholar
- Asif Mahmud Raivi and Sangman Moh. 2023. A comprehensive survey on data aggregation techniques in UAV-enabled Internet of things. Computer Science Review 50 (2023), 100599.Google ScholarDigital Library
- Muhammad Rusyadi Ramli, Dong-Seong Kim, and Jae Min Lee. 2018. Hybrid MAC protocol for UAV-assisted wireless sensor networks. (2018).Google Scholar
- Ali Ranjha and Georges Kaddoum. 2020. Quasi-optimization of uplink power for enabling green URLLC in mobile UAV-assisted IoT networks: A perturbation-based approach. IEEE Internet of Things Journal 8, 3 (2020), 1674–1686.Google ScholarCross Ref
- Partha Pratim Ray and Kien Nguyen. 2020. A review on blockchain for medical delivery drones in 5G-IoT era: Progress and challenges. In 2020 IEEE/CIC International Conference on Communications in China (ICCC Workshops). IEEE, 29–34.Google ScholarCross Ref
- A. Rugo, C. A. Ardagna, and N. E. Ioini. 2022. A Security Review in the UAVNet Era: Threats, Countermeasures, and Gap Analysis. ACM Computing Surveys (CSUR) 55, 1 (2022), 1–35.Google ScholarDigital Library
- Moataz Samir, Chadi Assi, Sanaa Sharafeddine, and Ali Ghrayeb. 2020. Online altitude control and scheduling policy for minimizing AoI in UAV-assisted IoT wireless networks. IEEE Transactions on Mobile Computing 21, 7 (2020), 2493–2505.Google Scholar
- Moataz Samir, Sanaa Sharafeddine, Chadi M Assi, Tri Minh Nguyen, and Ali Ghrayeb. 2019. UAV trajectory planning for data collection from time-constrained IoT devices. IEEE Transactions on Wireless Communications 19, 1(2019), 34–46.Google ScholarCross Ref
- O. A. Saraereh, A. Alsaraira, I. Khan, and P. Uthansakul. 2020. Performance evaluation of UAV-enabled LoRa networks for disaster management applications. Sensors 20, 8 (2020), 2396.Google ScholarCross Ref
- Simon Schopferer and Alexander Donkels. 2022. Trajectory risk modelling and planning for unmanned cargo aircraft. Automated Low-Altitude Air Delivery: Towards Autonomous Cargo Transportation with Drones (2022), 353–391.Google Scholar
- Silvia Sekander, Hina Tabassum, and Ekram Hossain. 2018. Multi-tier drone architecture for 5G/B5G cellular networks: Challenges, trends, and prospects. IEEE Communications Magazine 56, 3 (2018), 96–103.Google ScholarDigital Library
- Hazim Shakhatreh, Ahmad H Sawalmeh, Ala Al-Fuqaha, Zuochao Dou, Eyad Almaita, Issa Khalil, Noor Shamsiah Othman, Abdallah Khreishah, and Mohsen Guizani. 2019. Unmanned aerial vehicles (UAVs): A survey on civil applications and key research challenges. Ieee Access 7(2019), 48572–48634.Google ScholarCross Ref
- B. Shao and M. S. Leeson. 2021. PaFiR: Particle Filter Routing–A predictive relaying scheme for UAV-assisted IoT communications in future innovated networks. Internet of Things 14(2021), 100077.Google ScholarCross Ref
- Abhishek Sharma, Pankhuri Vanjani, Nikhil Paliwal, Chathuranga M Wijerathna Basnayaka, Dushantha Nalin K Jayakody, Hwang-Cheng Wang, and P Muthuchidambaranathan. 2020. Communication and networking technologies for UAVs: A survey. Journal of Network and Computer Applications 168 (2020), 102739.Google ScholarCross Ref
- L. Shen, N. Wang, X. Ji, X. Mu, and L. Cai. 2019. Iterative trajectory optimization for physical-layer secure buffer-aided UAV mobile relaying. Sensors 19, 15 (2019), 3442.Google ScholarCross Ref
- Liping Shi, Néstor J Hernández Marcano, and Rune Hylsberg Jacobsen. 2021. A review on communication protocols for autonomous unmanned aerial vehicles for inspection application. Microprocessors and Microsystems 86 (2021), 104340.Google ScholarDigital Library
- A. Sonny, S. R. Yeduri, and L. R. Cenkeramaddi. 2023. Q-learning-based unmanned aerial vehicle path planning with dynamic obstacle avoidance. Applied Soft Computing 147 (2023), 110773.Google ScholarDigital Library
- Suraj Suman, Sidharth Kumar, and Swades De. 2019. UAV-assisted RFET: A novel framework for sustainable WSN. IEEE Transactions on Green Communications and Networking 3, 4 (2019), 1117–1131.Google ScholarCross Ref
- Weifeng Sun, Min Tang, Lijun Zhang, Zhiqiang Huo, and Lei Shu. 2020. A survey of using swarm intelligence algorithms in IoT. Sensors 20, 5 (2020), 1420.Google ScholarCross Ref
- Zhenjie Tan, Hua Qu, Jihong Zhao, Shiyu Zhou, and Wenjie Wang. 2020. UAV-aided edge/fog computing in smart IoT community for social augmented reality. IEEE Internet of Things Journal 7, 6 (2020), 4872–4884.Google ScholarCross Ref
- T. Tang, T. Hong, H. Hong, S. Ji, S. Mumtaz, and M. Cheriet. 2019. An improved UAV-PHD filter-based trajectory tracking algorithm for multi-UAVs in future 5G IoT scenarios. Electronics 8, 10 (2019), 1188.Google ScholarCross Ref
- Kai-Yun Tsao, Thomas Girdler, and Vassilios G Vassilakis. 2022. A survey of cyber security threats and solutions for UAV communications and flying ad-hoc networks. Ad Hoc Networks 133(2022), 102894.Google ScholarDigital Library
- Zaib Ullah, Fadi Al-Turjman, and Leonardo Mostarda. 2020. Cognition in UAV-aided 5G and beyond communications: A survey. IEEE Transactions on Cognitive Communications and Networking 6, 3(2020), 872–891.Google ScholarCross Ref
- Sahil Vashist and Sushma Jain. 2019. Location-aware network of drones for consumer applications: Supporting efficient management between multiple drones. IEEE Consumer Electronics Magazine 8, 3 (2019), 68–73.Google ScholarCross Ref
- Danil Vasiliev, Andrei Chunaev, Albert Abilov, Irina Kaysina, and Daniil Meitis. 2019. Application layer ARQ and network coding for QoS improving in UAV-assisted networks. In 2019 25th Conference of Open Innovations Association (FRUCT). IEEE, 353–360.Google ScholarCross Ref
- Pamarthi Venkatasivarambabu and Richa Agrawal. 2023. A review on UAV path planning optimization based on motion planning algorithms: collision avoidance and challenges. In 2023 8th International Conference on Communication and Electronics Systems (ICCES). IEEE, 1483–1488.Google ScholarCross Ref
- Bowen Wang, Yanjing Sun, Trung Q Duong, Long D Nguyen, and Nan Zhao. 2020. Popular matching for security-enhanced resource allocation in social internet of flying things. IEEE Transactions on Communications 68, 8 (2020), 5087–5101.Google ScholarCross Ref
- G. Wang, B. Lee, J. Ahn, and G. Cho. 2020. A UAV-assisted CH election framework for secure data collection in wireless sensor networks. Future Generation Computer Systems 102 (2020), 152–162.Google ScholarDigital Library
- L. Wang, K. Wang, C. Pan, W. Xu, N. Aslam, and L. Hanzo. 2020. Multi-agent deep reinforcement learning-based trajectory planning for multi-UAV assisted mobile edge computing. IEEE Transactions on Cognitive Communications and Networking 7, 1(2020), 73–84.Google ScholarCross Ref
- Liang Wang, Kezhi Wang, Cunhua Pan, Wei Xu, Nauman Aslam, and Arumugam Nallanathan. 2021. Deep reinforcement learning based dynamic trajectory control for UAV-assisted mobile edge computing. IEEE Transactions on Mobile Computing 21, 10 (2021), 3536–3550.Google ScholarCross Ref
- N. Wang, P. Wang, A. Alipour-Fanid, L. Jiao, and K. Zeng. 2019. Physical-layer security of 5G wireless networks for IoT: Challenges and opportunities. IEEE Internet of Things Journal 6, 5 (2019), 8169–8181.Google ScholarCross Ref
- Qubeijian Wang, Hong-Ning Dai, Xuran Li, Mahendra K Shukla, and Muhammad Imran. 2020. Artificial noise aided scheme to secure UAV-assisted Internet of Things with wireless power transfer. Computer Communications 164 (2020), 1–12.Google ScholarCross Ref
- M. Wazid, B. Bera, A. Mitra, A. K. Das, and R. Ali. 2020. Private blockchain-envisioned security framework for AI-enabled IoT-based drone-aided healthcare services. In Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond. 37–42.Google Scholar
- M. Wazid, A. K. Das, N. Kumar, A. V. Vasilakos, and J. J. Rodrigues. 2018. Design and analysis of secure lightweight remote user authentication and key agreement scheme in Internet of drones deployment. IEEE Internet of Things Journal 6, 2 (2018), 3572–3584.Google ScholarCross Ref
- A. H. Wheeb, R. Nordin, A. A. Samah, M. H. Alsharif, and M. A. Khan. 2022. Topology-Based Routing Protocols and Mobility Models for Flying Ad Hoc Networks: A Contemporary Review and Future Research Directions. Drones 6, 1 (2022), 9.Google Scholar
- Yufei Wu, Zhenbo Wang, Boris Benedikter, and Alessandro Zavoli. 2022. A Convex Approach to Multi-phase Trajectory Optimization of eVTOL Vehicles for Urban Air Mobility. In AIAA SCITECH 2022 Forum. 2159.Google ScholarCross Ref
- George K Xilouris, Michael C Batistatos, Georgia E Athanasiadou, Georgios Tsoulos, Haris Bin Pervaiz, and Charilaos C Zarakovitis. 2018. UAV-assisted 5G network architecture with slicing and virtualization. In 2018 IEEE Globecom Workshops (GC Wkshps). IEEE, 1–7.Google ScholarCross Ref
- Zehui Xiong, Yang Zhang, Wei Yang Bryan Lim, Jiawen Kang, Dusit Niyato, Cyril Leung, and Chunyan Miao. 2020. UAV-assisted wireless energy and data transfer with deep reinforcement learning. IEEE transactions on cognitive communications and networking 7, 1(2020), 85–99.Google Scholar
- N. Xue, L. Niu, X. Hong, Z. Li, L. Hoffaeller, and C. Pöpper. 2020. DeepSIM: GPS spoofing detection on UAVs using satellite imagery matching. In Annual Computer Security Applications Conference. 304–319.Google Scholar
- Chaoxing Yan, Lingang Fu, Jiankang Zhang, and Jingjing Wang. 2019. A comprehensive survey on UAV communication channel modeling. IEEE Access 7(2019), 107769–107792.Google ScholarCross Ref
- Y. Yazid, I. Ez-Zazi, A. Guerrero-González, A. El Oualkadi, and M. Arioua. 2021. UAV-Enabled Mobile Edge-Computing for IoT Based on AI: A Comprehensive Review. Drones 5, 4 (2021), 148.Google ScholarCross Ref
- Ye Yu, Xiangyuan Bu, Kai Yang, Hongyuan Yang, and Zhu Han. 2019. UAV-aided low latency mobile edge computing with mmWave backhaul. In ICC 2019-2019 IEEE International Conference on Communications (ICC). IEEE, 1–7.Google ScholarCross Ref
- Y. Zeng, Q. Wu, and R. Zhang. 2019. Accessing from the sky: A tutorial on UAV communications for 5G and beyond. Proc. IEEE 107, 12 (2019), 2327–2375.Google ScholarCross Ref
- J. Zhang, L. Zhou, Q. Tang, E. C. H. Ngai, X. Hu, H. Zhao, and J. Wei. 2018. Stochastic computation offloading and trajectory scheduling for UAV-assisted mobile edge computing. IEEE Internet of Things Journal 6, 2 (2018), 3688–3699.Google ScholarCross Ref
- Liang Zhang, Abdulkadir Celik, Shuping Dang, and Basem Shihada. 2021. Energy-efficient trajectory optimization for UAV-assisted IoT networks. IEEE Transactions on Mobile Computing 21, 12 (2021), 4323–4337.Google ScholarDigital Library
- Qixun Zhang, Menglei Jiang, Zhiyong Feng, Wei Li, Wei Zhang, and Miao Pan. 2019. IoT enabled UAV: Network architecture and routing algorithm. IEEE Internet of Things Journal 6, 2 (2019), 3727–3742.Google ScholarCross Ref
- Zhihao Zhang, Xiaodong Liu, and Boyu Feng. 2023. Research on obstacle avoidance path planning of UAV in complex environments based on improved Bézier curve. Scientific Reports 13, 1 (2023), 16453.Google ScholarCross Ref
- Y. Zhi, Z. Fu, X. Sun, and J. Yu. 2020. Security and privacy issues of UAV: a survey. Mobile Networks and Applications 25, 1 (2020), 95–101.Google ScholarDigital Library
- Yan Zhu, Weigang Bai, Min Sheng, Jiandong Li, Di Zhou, and Zhu Han. 2020. Joint UAV access and GEO satellite backhaul in IoRT networks: Performance analysis and optimization. IEEE Internet of Things Journal 8, 9 (2020), 7126–7139.Google ScholarCross Ref
Recommendations
IoT technologies, applications and challenges, blockchain and its role in IoT: a survey
The IoT is the next epoch of communication. It is a very unique platform which is getting well liked for everyone. The major reason for this to happen is the advancement in technology and its potential to get connected to everything. The IoT gives us an ...
A Systematic Review of IoT Security: Research Potential, Challenges, and Future Directions
The Internet of Things (IoT) encompasses a network of physical objects embedded with sensors, software, and data processing technologies that can establish connections and exchange data with other devices and systems via the Internet. IoT devices are ...
A Review on Privacy Requirements and Application Layer Security in Internet of Things (IoT)
AbstractInternet of Things (IoT) is the predominant emerging technology that targets on facilitating interconnection of internet-enabled resources. IoT applications concentrate on automating different tasks that facilitate physical objects to act ...
Comments