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On the Performance of Adaptive Intelligent Wireless Senor Nodes Nanostructured Array for IoT Applications

Taha A Elwi, Noor M Noori, Mohammed N Majeed

Abstract


Nowadays practically everyone has a mobile device, and those numbers are getting higher, parallel, the number of interactive multimedia applications is also increasing, and this trend will continue in the future. Wireless sensor node data can be used for a variety of applications, including environmental monitoring, industrial automation, and smart home systems. In other circumstances, the nodes may be able to process and analyze the data locally before communicating it to the network, which can reduce the amount of data that needs to be transmitted and enhance energy efficiency. With the rapid rise of mobile traffic demands, the bottleneck between spectrum constraints and capacity requirements is becoming increasingly apparent, and the chokepoint of wireless bandwidth becomes a major issue for 6G telecommunication. Therefore, an urgent need was nominated for intelligent reflector array systems based on reconfigurable terminals. Such arrays could be applicable with artificial intelligence algorithms based on neural networks, for example, game theory, to be applicable in an adaptive environment. This work will conduct the use of a reconfigurable antenna terminals-based array system to equalize the channel error through a neural network to optimize the combination error failure.


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Bartolini, N.; Calamoneri, T.; La Porta, T.; Petrioli, C.; Silvestri, S. Sensor activation and radius adaptation (SARA) in heterogeneous sensor networks. ACM Trans. Sens. Networks 2012, 8, 1–34.

Bartolini, N.; Calamoneri, T.; Massini, A.; Silvestri, S. On adaptive density deployment to mitigate the sinkhole problem in mobile sensor networks. Mob. Netw. Appl. 2011, 16, 134–145.

Bartolini, N.; Calamoneri, T.; Ciavarella, S.; Porta, T.L.; Silvestri, S. Autonomous mobile sensor placement in complex environments. ACM Trans. Auton. Adapt. Syst. (TAAS) 2017, 12(2), 1–28.

Holmes, R.R.; Jones, L.M.; Eidenshink, J.C.; Godt, J.W.; Kirby, S.H.; Love, J.J.; Neal, C.A.; Plant, N.G.; Plunkett, M.L.; Weaver, C.S.; et al. US Geological Survey Natural Hazards Science Strategy–promoting the Safety, Security, and Economic Well-Being of the Nation; US Department of the Interior, US Geological Survey: Reston, VA, USA, 2013.

Pajares, G. Overview and current status of remote sensing applications based on unmanned aerial vehicles (UAVs). Photogramm. Eng. Remote. Sens. 2015, 81, 281–330.

Guo, Y.; Li, X.; Yousefi’zadeh, H.; Jafarkhani, H. UAV-aided cross-layer routing for MANETs. In Proceedings of the 2012 IEEE Wireless Communications and Networking Conference (WCNC), Paris, France, 1–4 April 2012; pp. 2928–2933.

Tennina, S.; Gaddour, O.; Koubâa, A.; Royo, F.; Alves, M.; Abid, M. Z-Monitor: A protocol analyzer for IEEE 802.15. 4-based low-power wireless networks. Comput. Netw. 2016, 95, 77–96.

Chaari, L.; Kamoun, L. Performance analysis of IEEE 802.15. 4/Zigbee standard under real-time constraints. Int. J. Comput. Netw. Commun. 2011, Vol-3, Issue-5, 235.

Kuorilehto, M.; Hännikäinen, M.; Hämäläinen, T.D. Rapid design and evaluation framework for wireless sensor networks. Ad Hoc Netw. 2008, Vol-6, Issue-6 909–935.

Hammoodi, I.S.; Stewart, B.G.; Kocian, A.; McMeekin, S.G. A Comprehensive Performance Study of OPNET Modeler for ZigBee Wireless Sensor Networks. In Proceedings of the 2009 Third International Conference on Next Generation Mobile Applications, Services and Technologies, Cardiff, UK, 15–18 September 2009; pp. 357–362.

Allred, J.; Hasan, A.B.; Panichsakul, S.; Pisano, W.; Gray, P.; Huang, J.; Han, R.; Lawrence, D.; Mohseni, K. Sensorflock: An airborne wireless sensor network of micro-air vehicles. In Proceedings of the 5th International Conference on Embedded Networked Sensor Systems, Sydney, Australia, 6–9 November 2007; pp. 117–129.

Corke, P.; Hrabar, S.; Peterson, R.; Rus, D.; Saripalli, S.; Sukhatme, G. Autonomous deployment and repair of a sensor network using an unmanned aerial vehicle. IEEE Int. Conf. Robot. Autom. Proc. 2004, 4, 3602–3608.

Minhas, U.I.; Naqvi, I.H.; Qaisar, S.; Ali, K.; Shahid, S.; Aslam, M.A. A WSN for monitoring and event reporting in underground environments. IEEE Syst. J. 2017, Vol-12, Issue-1 485–496.

Chappell, M.; Dove, S.K.; van Iersel, M.W.; Thomas, P.A.; Ruter, J. Implementation of wireless sensor networks for irrigation control in three container nurseries. HortTechnology 2013, Vol-23, Issue-6, 747–753.

Arroyo, P.; Lozano, J.; Suárez, J.I. Evolution of wireless sensor network for air quality measurements. Electronics 2018, Vol-7, Issue-12, 342.

Khalifeh, A.; Salah, H.; Alouneh, S.; Al-Assaf, A.; Darabkh, K. A simulation study for UAV-aided wireless sensor network utilizing ZigBee protocol. In Proceedings of the 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Limassol, Cyprus, 15–17 October 2018; pp. 181–184.

Khalifeh, A.; Salah, H.; Alouneh, S.; Al-Assaf, A.; Darabkh, K. Performance evaluation of DigiMesh and ZigBee wireless mesh networks. In Proceedings of the 2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Chennai, India, 22–24 March 2018; pp. 1–6. [Google Scholar]

Rasin, Z.; Hamzah, H.; Mohd Aras, M.S. Application and evaluation of high power Zigbee based wireless sensor network in water irrigation control monitoring system. In Proceedings of the 2009 IEEE Symposium on Industrial Electronics Applications, Seoul, Korea, 5–8 July 2009; Volume 2, pp. 548–551.

Mraz, L.; Cervenka, V.; Komosny, D.; Simek, M. Comprehensive performance analysis of ZigBee technology based on real measurements. Wirel. Pers. Commun. 2013, Vol-71, Pages-2783–2803.

Niswar, M.; Ilham, A.A.; Palantei, E.; Sadjad, R.S.; Ahmad, A.; Suyuti, A.; Indrabayu; Muslimin, Z.; Waris, T.; Adi, P.D.P. Performance evaluation of ZigBee-based wireless sensor network for monitoring patients’ pulse status. In Proceedings of the 2013 International Conference on Information Technology and Electrical Engineering (ICITEE), Yogyakarta, Indonesia, 7–8 October 2013; pp. 291–294.

Bi, Z. Smart home with ZigBee hardware simulation and performance evaluation. In Proceedings of the 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC), Shenyang, China, 20–22 December 2013; pp. 2139–2142. [Google Scholar] [CrossRef]

Langhammer, N.; Kays, R. Performance evaluation of wireless home automation networks in indoor scenarios. IEEE Trans. Smart Grid 2012, Vol-3, Issue-4 2252–2261.

Fitriawan, H.; Susanto, M.; Arifin, A.S.; Mausa, D.; Trisanto, A. ZigBee based wireless sensor networks and performance analysis in various environments. In Proceedings of the 2017 15th International Conference on Quality in Research (QiR): International Symposium on Electrical and Computer Engineering, Bali, Indonesia, 24–27 July 2017; pp. 272–275.

Wang, G.; Lee, B.; Ahn, J.; Cho, G. A UAV-assisted CH election framework for secure data collection in wireless sensor networks. Future Gener. Comput. Syst. 2020, Vol-102, Pages-152–162.

Vera-Amaro, R.; Rivero-Ángeles, M.E.; Luviano-Juárez, A. Data Collection Schemes for Animal Monitoring Using WSNs-Assisted by UAVs: WSNs-Oriented or UAV-Oriented. Sensors 2020, Vol-20, Issue-1, 262.




DOI: https://doi.org/10.37628/ijtet.v9i2.1946

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