Decision Routing Problems in A Wireless Sensor Network Based on A Neural Mechanism
DOI:
https://doi.org/10.5614/10.5614/itbj.ict.res.appl.2020.14.2.2Keywords:
wireless sensor network (WSN), artificial neural network (ANN), routing protocols of wireless sensor networks, radio visibility matrix, Kohonen artificial neural network, software-modeling medium, matrix WSN clustering method, neural network clustering enAbstract
This article proposes a solution for the routing problem in wireless sensor networks (WSN) based on a neural mechanism. The basic concepts of wireless sensor networks, artificial neural networks (ANNs), and WSN routing protocols are presented. The Kohonen ANN was selected to solve the problem of routing in wireless sensor networks based on a neural mechanism. A radio visibility matrix is proposed, which is a mathematical description of the connectivity of network nodes and the radio visibility of each node with respect to all other network nodes. Based on the Kohonen ANN trained by the constructive method, a method for WSN neural network clustering was developed. Two software-modeling environments are presented that were created to confirm the theory with respect to the logic of the developed methods for WSN clustering, their correction and the verification of their adequacy. Numerical results of modeling the solution of the routing problem in a wireless sensor network based on a neural mechanism by neural network clustering, the WSN matrix clustering method and the energy distance neural clustering protocol (EDNCP) are presented. It was found that the developed EDNCP protocol was 29% more efficient than known analogs.
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References
Abbasi, A.A. & Younis, M., A Survey on Clustering Algorithms for Wireless Sensor Networks, Computer Communications, 30(14-15), pp. 2826-2841, 2007.
Adeel, A., Abid, A.M. & Sohail, J., Energy Aware Intra Cluster Routing for WSN, International Journal of Hybrid Information Technology, 3(1), pp. 29-48, 2010.
Muradova, A.A., Modeling of Decision-Making Processes to Ensure Sustainable Operation of Multiservice Communication Network, Journal of ICT Research and Applications, 13(1), pp. 50-62, 2019.
Muradova, A.A. & Khujamatov, Kh.E., Results of Calculations of Parameters of Reliability of Restored Devices of the Multiservice Communication Network, ICISCT 2019 Applications, trends and opportunities, TUIT, 4-6 November 2019.
Bornhovd, C., Lin, T., Haller, S. & Schaper J., Integrating Smart Items with Business Processes: An Experience Report, IEEE, Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICCS), pp. 227-230, 2005.
Buttyan, L. & Schaffer, P., PANEL: Position-based Aggregator Node Election in Wireless Sensor Networks, Pisa: IEEE, pp. 1-9, 2007.
Shabbir, N. & Hassan, S.R., Routing Protocols for Wireless Sensor Networks (WSN), 2017. DOI: 10.5772/INTECHOPEN.70208.
Dargie, W. & Poellabauer, C., Fundamentals of Wireless Sensor Networks: Theory and Practice, Hoboken: John Wiley and Sons, 2010.
Chauhan, N.S., Introduction to Artificial Neural Networks (ANN), 2019.
Hussein, M.S., Survey of Routing Protocols in Wireless Sensor Networks, International Journal of Sensors and Sensor Networks, 2(1), pp. 11-16, 2014.
Ibrahiem, M.M., El, E. & Ramakrishnan, S., Wireless Sensor Networks: From Theory to Applications, Boca Raton: CRC Press, 2013.
Lou, W., Data Gathering in Sensor Networks Using the Energy Delay Metric, Washington DC: IEEE, pp. 1-8, 2005.
Low, A., Evolution of Wireless Sensor Networks for Industrial Control, Technology Innovation Management Review, Ottawa, Canada: Carleton University, pp. 5-12, 2013.
Makhrov, S.S., Prospects of Nanotechnologies Development in Automated Control Systems, Izhevsk: Publishing House of ISTU, pp. 370-375, 2010.
Nissan, E., Computer Applications for Handling Legal Evidence, Police Investigation and Case Argumentation, Springer Netherlands, 2012.
Ossama, Y., Marwan, K. & Srinivasan, R., Node Clustering in Wireless Sensor Networks: Recent Developments and Deployment Challenges, Tucson, AZ, USA: IEEE, pp. 20-25, 2006.
Salami, A.F., Anwar, F. & Priantoro, A.U., An Investigation into Clustering Routing Protocols for WSN, Sensors and Transducers Journal, 105(6), pp. 2-5, 2009.
Schaap, H., Wireless Sensor Network Standard for Logistic Processes, Master's thesis, Enschede, pp. 145-166, 2007.
Xing, G., Lu, C., Pless R. & Huang, Q., On Greedy Geographic Routing Algorithms in Sensing-Covered Networks, Tokyo, Japan, pp. 31-42, 2004.
Singh, S.K., Singh, M.P. & Singh, D.K., Routing Protocols in Wireless Sensor Networks - A Survey, International Journal of Computer Science & Engineering Survey (IJCSES), 1(2), pp. 63-83, 2010.
Senouci, M.R., Mellouk, A., Senouci, H. & Aissani, A., Performance Evaluation of Network Lifetime Spatial-Temporal Distribution for WSN Routing Protocols, Journal of Network and Computer Applications, 35(4), pp. 1317-1328, 2012.
Sushruta, M., Alok, R., Abhishek, K., Vishal, C., Preksha, V. & Lalit, B., Study of Cluster Based Routing Protocols in Wireless Sensor Networks, International Journal of Scientific & Engineering Research, 3(7), pp. 21-37, 2012.
