Open Access
Issue
ITM Web Conf.
Volume 52, 2023
International Conference on Connected Object and Artificial Intelligence (COCIA’2023)
Article Number 01009
Number of page(s) 9
Section Connected Objects and Systems
DOI https://doi.org/10.1051/itmconf/20235201009
Published online 08 May 2023
  1. Akyildiz, Ian F., et al. “A survey on sensor networks.” IEEE Communications magazine 40.8 (2002):102-114. [CrossRef] [Google Scholar]
  2. Yoneki, Eiko, and Jean Bacon. “A survey of Wireless Sensor Network technologies.” UCAM-CL-TR-646 (2005). [Google Scholar]
  3. Karl, Holger, and Andreas Willig. Protocols and architectures for wireless sensor networks. John Wiley & Sons. [Google Scholar]
  4. Da Xu, Li, Wu He, and Shancang Li. “Internet of things in industries: A survey.” IEEE Transactions on Industrial informatics 10.4 (2014):2233-2243. [Google Scholar]
  5. Palattella, Maria Rita, et al. “Internet of things in the 5G era: Enablers, architecture, and business models.” IEEE Journal on Selected Areas in Communications 34.3 (2016):510-527. [CrossRef] [Google Scholar]
  6. Al-Fuqaha, Ala, et al. “Internet of things: A survey on enabling technologies, protocols, and applications.”. 4 (2015):2347-2376. [Google Scholar]
  7. Rawat, Priyanka, et al. “Wireless sensor networks: a survey on recent developments and potential synergies.” (2014):1-48. [Google Scholar]
  8. Li, Shancang, Li Da Xu, and Shanshan Zhao. “The Internet of Things: a survey.” Information Systems Frontiers 17.2 (2015):243-259. [CrossRef] [Google Scholar]
  9. Evans, Dave. “The Internet of Things: How the next evolution of the Internet is changing everything. 2011.” URL: http://www.cisco.com/web/about/ac79/docs/innov/IoT_IBSG_0411FINAL.pdf (äата обращения: 5.02. 2016). [Google Scholar]
  10. Seah, Winston KG, Zhi Ang Eu, and Hwee-Pink Tan. “Wireless sensor networks powered by ambient energy harvesting (WSNHEAP)-Survey and challenges.” Wireless Communication, Vehicular Technology, Information Theory, and Aerospace & Electronic Systems Technology, 2009. Wireless VITAE 2009. 1st International Conference on. Ieee, 2009. [Google Scholar]
  11. Akpakwu, Godfrey Anuga, et al. “A survey on 5G networks for the Internet of things: 2018):3619-3647. [Google Scholar]
  12. Michalski, Ryszard S., Jaime G. Carbonell, and Tom M. Mitchell, eds. Machine learning: An artificial intelligence approach. Springer Science & Business Media, 2013. [Google Scholar]
  13. Ayodele, Taiwo Oladipupo. “Machine learning overview.” New Advances in Machine Learning. InTech, 2010. [Google Scholar]
  14. Thrun, Sebastian, and Lorien Pratt, eds. Learning to learn. Springer Science & Business Media, 2012. [Google Scholar]
  15. Langley, Pat, and Herbert A. Simon. “Applications of machine learning and rule induction.” Communications (1995):54-64. [Google Scholar]
  16. Benhaddou, Driss, and Ala Al-Fuqaha, eds. Wireless sensor and mobile ad-hoc networks: vehicular and space applications. Springer, 2015. [Google Scholar]
  17. Madhu, Arun, and A. Sreekumar. “Wireless sensor network security in a military application using the unmanned vehicle.” International Journal of Electronics and Communication Engineering (2014): 51-8. [Google Scholar]
  18. Ohbayashi, Riki, et al. “Monitoring system for landslide disaster by wireless sensing node network.” SICE Annual Conference, 2008. IEEE. [Google Scholar]
  19. Suganya, E., and S. Vijayashaarathi. “Smart vehicle monitoring system for air pollution detection using Wsn.” Communication and Signal Processing (ICCSP), 2016 International Conference on. IEEE, 2016. [Google Scholar]
  20. Hilmani, Adil, Abderrahim Maizate, and Larbi Hassouni. “Designing and Managing a Smart Parking System Using.” Journal of Sensor and Actuator Networks 7.2 (2018): 24. [CrossRef] [Google Scholar]
  21. A. Lavric, V. Popa, and S. Sfichi, “Street lighting control system based on large-scale WSN: A step towards a smart city. Conf. Expo. Electr. Power Eng. (EPE), Oct. 2014, pp. 673–676. [Google Scholar]
  22. Akyildiz, Ian F., et al. “Wireless sensor networks: a survey.” Computer Networks 38.4 (2002): 393-422. [CrossRef] [Google Scholar]
  23. Lee, In, and Kyoochun Lee. “The Internet of Things (IoT): Applications, investments, and challenges for enterprises.” (2015):431-440. [Google Scholar]
  24. Akpakwu, Godfrey Anuga, et al. “A survey on 5G networks for the Internet of things: communication technologies and challenges.” IEEE Access (2018): 619-3647. [Google Scholar]
  25. Rani, Shalli, Syed Hassan Ahmed, and Sayed Chhattan Shah. “Smart Health: A Novel Paradigm to Control the Chikungunya” (2018). [Google Scholar]
  26. Gupta, Punit, and Jasmeet Chhabra. “IoT-based smart home design using power and security management.” Innovation and Challenges in Cyber Security (ICICCSINBUSH), 2016 International Conference on. IEEE, 2016. [Google Scholar]
  27. Chang, Sei, and Kisik Jeong. “A Mobile Application for Fine Dust Monitoring System.” Mobile Data Management(MDM), 201718thIEEE International Conference on. IEEE, 2017. [Google Scholar]
  28. Chen, Shanzhi, et al. “A vision of IoT: Applications, challenges, and opportunities with china perspective.” 4 (2014):349-359. [Google Scholar]
  29. Kulkarni, Sanjeev R., Gábor Lugosi, and Santosh S. Venkatesh. “Learning pattern classification-a survey.” IEEE Transaction son Information Theory 44.6 (1998):2178-2206. [CrossRef] [Google Scholar]
  30. Moreland, Mark R., Bill Moran, and Marcus Brazil. “Bayesian node localization in wireless sensor networks.” Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on. IEEE, 2008. [Google Scholar]
  31. Lu, Ching-Hu, and Li-Chen Fu. “Robust location-aware activity recognition using wireless sensor network in an attentive home.” IEEE Transactions on Automation Science and Engineering 6.4 (2009): 598-609 [Google Scholar]

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