Abstract
In IoT, the major challenge is processing huge amount of data from different types of sensors and to achieve a reliable data transmission in the sensor network. This makes it a necessity in enhancing Quality of Service, to acquire real-time service with assured quality. The major problem faced in the sensor network is delay, as more time is required to set up a connection with limited spectrum for maintaining numerous state information per connection. Finding the optimal route with efficient bandwidth is not ideal using an existing routing algorithm, both in ad hoc and cognitive network. As a result, a protocol is proposed in this paper to minimize the delay and maximize the effective spectrum allocation. The proposed algorithm is implemented in real-time traffic monitoring application using network simulator to estimate the quality of service. The performance of the proposed system is compared with the existing systems in terms of throughput and delay. The delay decreases by 3% approximately when compared with the existing techniques.
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Abbreviations
- IoT:
-
Internet of things
- MANET :
-
mobile ad hoc networks
- AODV:
-
ad hoc on-demand distance vector routing
- DSR:
-
dynamic source routing
- RPL:
-
routing protocol for low-power networks
- LOADng:
-
lightweight on-demand ad hoc distance-vector routing protocol
- CARP:
-
channel aware routing protocol
- MANET:
-
mobile ad hoc networks
- TDMA:
-
time-division multiple access
- DSR:
-
dynamic source routing
- IDS:
-
intrusion detection system
- GAQoS(DM)-AODV:
-
genetic algorithm quality of service delay minimization-AODV
- QoS:
-
quality of service
- SORP:
-
spectrum on-demand routing protocol
- SUMO:
-
Simulation of Urban MObility
References
Muthuramalingam S, Bharathi A, Rakesh Kumar S, Gayathri N, Sathiyaraj R, Balamurugan B (2019) IoT based intelligent transportation system (IoT-ITS) for global perspective: a case study. In: Internet of Things and Big Data Analytics for Smart Generation. Springer, Cham, pp 279–300
Dhingra P, Gayathri N, Kumar SR, Singanamalla V, Ramesh C, Balamurugan B (2020) Internet of things–based pharmaceutics data analysis. Emergence of Pharmaceutical Industry Growth with Industrial IoT Approach. Academic Press, Cambridge, pp 85–131
Sarhan QI (2018) Internet of things: a survey of challenges and issues. Int J Internet Things Cyber-Assurance 1(1):40–75
Kodabagi MM, Patil SB, Patil BB (2016) QoS challenges in wireless sensor networks. J Eng Technol Innov 4:92–94
Alahari HP, Yalavarthi SB (2017) A survey on network routing protocols in internet of things (IOT). Int J Comput Appl 160:0975–8887
Sethi P, Sarangi SR (2017) Internet of things: architectures, protocols, and applications. J Electr Comput Eng 03:9324035
Patel N, Pawar A, Shekokar N (2015) A survey on routing protocols for MANET. Int J Comput Appl 110:0975–8887
Priyanka M, Lokhande APT (2015) Maximization of lifetime and minimization of delay for performance enhancement of WSN. Int J Bus Res Dev 4:9–16
Kumar SR, Gayathri N (2016) Trust based data transmission mechanism in MANET using sOLSR. In: Annual Convention of the Computer Society of India. Springer, Singapore, pp 169–180
Kumar SR, Gayathri N, Balusamy B (2019) Enhancing network lifetime through power-aware routing in MANET. Int J Internet Technol Secured Trans 9(1-2):96–111
Xiao L, Wang Z (2013) Internet of things: a new application for intelligent traffic monitoring system. J Netw 6:887–894
Devi M, Deka D (2015) A survey on routing protocols for cognitive radio networks. Int J Eng Res Technol 4:2278-0181
Ghosh K, Nath A (2015) Cognitive radio networks: a comprehensive study on scope and applications. Int J Innov Res Adv Eng 2:2349–2763
Ali A, Iqbal M, Baig A, Wang X (2011) Routing technique in cognitive radio network: a survey. Int J Wirel Mobil Netw 3(3):96–110
Abdelaziza S, ElNainay M (2011) Survey of routing protocols in cognitive radio networks. Int J 2
El Morabit Y, Mrabti F, Abarkan EH. Cognitive radio spectrum allocation using genetic algorithm. IEEE transaction- Third International Workshop on RFID And Adaptive Wireless Sensor Networks (RAWSN), pp 7173287
Yan G, Lv Y, Wang Q, Geng Y (2014) Routing algorithm based on delay rate in cognitive radio network. J Netw 9:948–955
Razi A, Valehi A, Bentley E (2014) Delay minimization by adaptive framing policy in cognitive sensor networks. IEEE Trans 6:1558–2612
Patil DP, Wadhai VM (2011) Improved algorithm for Mac Layer Spectrum Sensing in Cognitive Radio Networks From Dynamic Spectrum Management Perspective. International Journal of Computer Networking, Wireless and Mobile Communications (IJCNWMC) 4(6):75-90
Sakthivel RK, Nagasubramanian G, Al-Turjman F, Sankayya M (2020) Core-level cybersecurity assurance using cloud-based adaptive machine learning techniques for manufacturing industry. Trans Emerg Telecommun Technol. https://doi.org/10.1002/ett.3947
Kanhere SK, Goudar M, Wadhai VM (2012) End-to-end delay optimization in wireless sensor network (WSN). Int J Smart Sensors Ad Hoc Netw 1:2248–9738
Aiswariya Milan K, Ramesh S (2015) QoS enhanced scheduling framework for IoT using LTE-A, International Journal of Advanced Research in Computer. Eng Technol 4:4273–4276
Zibakalam V, Hossein Kahaei M (2012) Increasing throughput and reducing delay in wireless sensor networks using interference alignment. Int J Commun Netw Syst Sci 5:90–97
Anbarasi R, Kumutha D (2015) Delay minimization in cognitive mesh networks using recursive algorithm in DORP protocol. Int J Adv Res Electr Electron Instrum 4:2278–8875
Mohammed AA, Nagib G (2012) Optimal routing in ad-hoc network using genetic algorithm. Int J Adv Netw Appl 3(5):1323–1328
Masum AKM, Shahjalal M, Faruque F, Sarker IH (2011) Solving the vehicle routing problem using genetic algorithm. Int J Adv Comput Sci Appl 2(7):126–131
Miao J, Hasan O, Mokhtar SB, Brunie L, Yim K (2013) An investigation on the unwillingness of nodes to participate in mobile delay tolerant network routing. Int J Inf Manag 33:252–262
Lebiba FZ, Mellah H, Drias H (2017) Enhancing information source selection using a genetic algorithm and social tagging. Int J Inf Manag 37(6):741–749
Li J-Y, Qiao S, Harrison S, Li X (2017) Utilizing an interpersonal communication framework to understand information behaviors involved in HIV disclosure. Int J Inf Manag 37:250–256
Li D, Deng L, Lee M, Wang H (2019) IoT data feature extraction and intrusion detection system for smart cities based on deep migration learning. Int J Inf Manag 49:533–545
Alkhayyat A, Thabit AA, Al-Mayali FA, Abbasi QH (2019) WBSN in IoT health-based application: toward delay and energy consumption minimization. J Sensors 2019:1–14
Mudasser AW, Rasool SM, Gafoor SAAA. An energy efficient routing protocol for WSN assisting IoT
Bhandari S, Sharma SK, Wang X (2017) Latency minimization in wireless IoT using prioritized channel access and data aggregation. In: GLOBECOM 2017-2017 IEEE Global Communications Conference. IEEE, Singapore, pp 1-6
Bounsiar S, Benhamida FZ, Henni A, Ipiña DLD, Mansilla DC (2019) How to enable delay tolerant network solutions for internet of things: from taxonomy to open challenges. Multidiscip Digit Publishing Inst Proc 31(1):24
Lafta HA, Al-Salih AMMS (2014) Efficient routing protocol in the mobile ad-hoc network (MANET) by using genetic algorithm (GA). Int J Comput Eng 16(1):47–54
Venkatesh S, Mehata KM (2014) A fault tolerant system based on genetic algorithm for target tracking in wireless sensor networks. Int J Comput Appl Technol Re 3(7):434–438
Rieck D, Schünemann B, Radusch I (2015) Advanced Traffic Light Information in OpenStreetMap for Traffic Simulations. Modeling Mobility with Open Data. Springer, Cham, pp 25–34
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Sankayya, M., Sakthivel, R.k., Gayathri, N. et al. Wireless sensor network–based delay minimization framework for IoT applications. Pers Ubiquit Comput 27, 1261–1269 (2023). https://doi.org/10.1007/s00779-020-01517-w
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DOI: https://doi.org/10.1007/s00779-020-01517-w