Skip to main content
SpringerLink
Log in

A review on intelligent process for smart home applications based on IoT: coherent taxonomy, motivation, open challenges, and recommendations

  • Published:
Artificial Intelligence Review Aims and scope Submit manuscript

Abstract

Innovative technology on intelligent processes for smart home applications that utilize Internet of Things (IoT) is mainly limited and dispersed. The available trends and gaps were investigated in this study to provide valued visions for technical environments and researchers. Thus, a survey was conducted to create a coherent taxonomy on the research landscape. An extensive search was conducted for articles on (a) smart homes, (b) IoT and (c) applications. Three databases, namely, IEEE Explore, ScienceDirect and Web of Science, were used in the article search. These databases comprised comprehensive literature that concentrate on IoT-based smart home applications. Subsequently, filtering process was achieved on the basis of intelligent processes. The final classification scheme outcome of the dataset contained 40 articles that were classified into four classes. The first class includes the knowledge engineering process that examines data representation to identify the means of accomplishing a task for IoT applications and their utilisation in smart homes. The second class includes papers on the detection process that uses artificial intelligence (AI) techniques to capture the possible changes in IoT-based smart home applications. The third class comprises the analytical process that refers to the use of AI techniques to understand the underlying problems in smart homes by inferring new knowledge and suggesting appropriate solutions for the problem. The fourth class comprises the control process that describes the process of measuring and instructing the performance of IoT-based smart home applications against the specifications with the involvement of intelligent techniques. The basic features of this evolving approach were then identified in the aspects of motivation of intelligent process utilisation for IoT-based smart home applications and open-issue restriction utilisation. The recommendations for the approval and utilisation of intelligent process for IoT-based smart home applications were also determined from the literature.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  • Bhide VH, Wagh S (2015) i-learningIoT: an intelligent self learning system for home automation using IoT. In: Communications and signal processing (ICCSP), 2015 international conference on. IEEE, pp 1763–1767

  • Bhole M, Phull K, Jose A, Lakkundi V (2015) Delivering analytics services for smart homes. In: Wireless sensors (ICWiSe), 2015 IEEE conference on. IEEE, pp 28–33

  • Biswas J, Wai AAP, Tolstikov A, Kenneth LJH, Maniyeri J, Victor FSF, Lee A, Phua C, Jiaqi Z, Hoa HT, Tiberghien T (2011) From context to micro-context–issues and challenges in sensorizing smart spaces for assistive living. Procedia Comput Sci 5:288–295

    Article  Google Scholar 

  • Chen CY, Fu JH, Sung T, Wang PF, Jou E, Feng MW (2014) Complex event processing for the internet of things and its applications. In: Automation science and engineering (CASE), 2014 IEEE international conference on. IEEE, pp 1144–1149

  • Collotta M, Pau G (2017) Bluetooth for internet of Things: a fuzzy approach to improve power management in smart homes. Comput Electr Eng 44:137–152

    Article  Google Scholar 

  • Dovydaitis J, Jasinevicius R, Petrauskas V, Vrubliauskas A (2017) Training, retraining, and self-training procedures for the fuzzy logic-based intellectualization of IoT&S environments. Int J Fuzzy Syst 17(2):133–143

    Article  Google Scholar 

  • Du K, Wang Z (2012) The management system with emotional virtual human based on smart home. In: Fuzzy systems and knowledge discovery (FSKD), 2012 9th international conference on. IEEE, pp 1989–1993

  • Ganz F, Puschmann D, Barnaghi P, Carrez F (2015) A practical evaluation of information processing and abstraction techniques for the internet of things. IEEE Internet Things J 2(4):340–354

    Article  Google Scholar 

  • Ghayvat H, Mukhopadhyay S, Gui X, Suryadevara N (2015) WSN-and IOT-based smart homes and their extension to smart buildings. Sensors 15(5):10350–10379

    Article  Google Scholar 

  • Hu CL, Huang HT, Lin CL, Anh NHM, Su YY, Liu PC (2013) Design and implementation of media content sharing services in home-based iot networks. In: Parallel and distributed systems (ICPADS), 2013 international conference on. IEEE, pp 605–610

  • Huang Z, Lin KJ, Yu SY, Hsu JYJ (2014) Co-locating services in IoT systems to minimize the communication energy cost. J Innov Digit Ecosyst 1(1):47–57

    Article  Google Scholar 

  • Huynh SM, Parry D, Fong ACM, Tang J (2014) Novel RFID and ontology based home localization system for misplaced objects. IEEE Trans Consum Electron 60(3):402–410

    Article  Google Scholar 

  • Kasnesis P, Patrikakis CZ, Venieris IS (2015) Collective domotic intelligence through dynamic injection of semantic rules. In: Communications (ICC), 2015 IEEE international conference on. IEEE, pp 592–597

  • Kibria MG, Chong I (2014) A WoO based knowledge driven approach for smart home energy efficiency. In: Information and communication technology convergence (ICTC), 2014 international conference on. IEEE, pp 45–50

  • Kim Y, Lee S, Chong I (2014) Orchestration in distributed web-of-objects for creation of user-centered iot service capability. Wirel Pers Commun 78(4):1965–1980

    Article  Google Scholar 

  • Kim JY, Lee HJ, Son JY, Park JH (2015a) Smart home web of objects-based IoT management model and methods for home data mining. In: Network operations and management symposium (APNOMS), 2015 17th Asia-Pacific. IEEE, pp 327–331

  • Kim YP, Yoo S, Yoo C (2015b) DAoT: dynamic and energy-aware authentication for smart home appliances in internet of things. In: Consumer electronics (ICCE), 2015 IEEE international conference on. IEEE, pp 196–197

  • Lee KM, Teng WG, Hou TW (2016) Point-n-Press: an intelligent universal remote control system for home appliances. IEEE Trans Autom Sci Eng 13(3):1308–1317

    Article  Google Scholar 

  • Li C, Suna L, Hua X (2012) A context-aware lighting control system for smart meeting rooms. Syst Eng Procedia 4:314–323

    Article  Google Scholar 

  • Li Q, Jin Y, He T, Xu H (2013) Smart home services based on event matching. In: Fuzzy systems and knowledge discovery (FSKD), 2013 10th international conference on. IEEE, pp 762–766

  • Lima WS, Souto E, Rocha T, Pazzi RW, Pramudianto F (2015) User activity recognition for energy saving in smart home environment. In: Computers and communication (ISCC), 2015 IEEE symposium on. IEEE, pp 751–757

  • Mehrabani M, Bangalore S, Stern B (2015) Personalized speech recognition for internet of things. In: Internet of things (WF-IoT), 2015 IEEE 2nd world forum on. IEEE, pp 369–374

  • Miori V, Russo D (2012) Anticipating health hazards through an ontology-based, IoTdomotic environment. In: Innovative mobile and internet services in ubiquitous computing (IMIS), 2012 sixth international conference on. IEEE, pp 745–750

  • Oriwoh E, Sant P (2013) The forensics edge management system: a concept and design. In: Ubiquitous intelligence and computing, 2013 IEEE 10th international conference on and 10th international conference on autonomic and trusted computing (UIC/ATC). IEEE, pp 544–550

  • Peng Z, Kato T, Takahashi H, Kinoshita T (2015) Intelligent home security system using agent-based IoT Devices. In: Consumer electronics (GCCE), 2015 IEEE 4th global conference on. IEEE, pp 313–314

  • Perešíni O, Krajčovič T (2017) Internet controlled embedded system for intelligent sensors and actuators operation. In: Applied electronics (AE), 2015 international conference on. IEEE, pp 185–188

  • Sanchez I, Satta R, Fovino IN, Baldini G, Steri G, Shaw D, Ciardulli A (2014) Privacy leakages in smart home wireless technologies. In: Security technology (ICCST), 2014 international carnahan conference on. IEEE, pp 1–6

  • Sasidharan S, Somov A, Biswas AR, Giaffreda R (2014) Cognitive management framework for internet of things: a prototype implementation. In: Internet of things (WF-IoT), 2014 IEEE world forum on. IEEE, pp 538–543

  • Schweizer D, Zehnder M, Wache H, Witschel HF, Zanatta D, Rodriguez M (2015) Using consumer behavior data to reduce energy consumption in smart homes. arXiv preprint arXiv:1510.00165

  • Shamszaman ZU, Lee S, Chong I (2014) WoO based user centric energy management system in the internet of things. In: Information networking (ICOIN), 2014 international conference on. IEEE, pp 475–480

  • Sun Y, Yan H, Zhang J, Xia Y, Wang S, Bie R, Tian Y (2014) Organizing and querying the big sensing data with event-linked network in the internet of things. Int J Distrib Sens Netw 10(8):218521

    Article  Google Scholar 

  • Ukil A, Bandyopadhyay S, Pal A (2015) Privacy for IoT: involuntary privacy enablement for smart energy systems. In: Communications (ICC), 2015 IEEE international conference on. IEEE, pp 536–541

  • Wang J, Cheng Z, Jing L, Ozawa Y, Zhou Y (2012) A location-aware lifestyle improvement system to save energy in smart home. In: Awareness science and technology (iCAST), 2012 4th international conference on. IEEE, pp 109–114

  • Wright D, Yan X, Srinivas P, Kashani A, Ozturk Y (2015) A cloud to mobile application for consumer behavior modification. Procedia Comput Sci 62:343–351

    Article  Google Scholar 

  • Xiao B, Chen L, Liu M, Cao Y, Yang Y (2015) Design and implementation of rule-based uncertainty reasoning in smart house. In: Communication technology (ICCT), 2015 IEEE 16th international conference on. IEEE, pp 441–448

  • Yang C, Yuan B, Tian Y, Feng Z, Mao W (2014) A smart home architecture based on resource name service. In: Computational science and engineering (CSE), 2014 IEEE 17th international conference on. IEEE, pp 1915–1920

  • Yao L, Lai CC, Lim WH (2015) Home energy management system based on photovoltaic system. In: Data science and data intensive systems (DSDIS), 2015 IEEE international conference on. IEEE, pp 644–650

  • Ye J, Xie Q, Xiahou Y, Wang C (2012) The research of an adaptive smart home system. In: Computer science and education (ICCSE), 2012 7th international conference on. IEEE, pp 882–887

  • Yin Z, Che Y, He W (2017) A hierarchical group control method of electrical loads in smart home. In: Power electronics systems and applications (PESA), 2015 6th international conference on. IEEE, pp 1–6

  • Zhao M, Privat G, Rutten E, Alla H (2017) Discrete control for smart environments through a generic finite-state-models-based infrastructure. In: European conference on ambient intelligence. Springer, Cham, pp 174–190

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computing, Universiti Pendidikan Sultan Idris, Tanjung Malim, Malaysia

    A. A. Zaidan & B. B. Zaidan

Authors
  1. A. A. Zaidan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. B. B. Zaidan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to A. A. Zaidan.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zaidan, A.A., Zaidan, B.B. A review on intelligent process for smart home applications based on IoT: coherent taxonomy, motivation, open challenges, and recommendations. Artif Intell Rev 53, 141–165 (2020). https://doi.org/10.1007/s10462-018-9648-9

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10462-018-9648-9

Keywords

Search

Navigation