Abstract
A new routing protocol for wireless sensor network is presented using energy clustering based on self-organizing map (ECSOM). In the process of neural network clustering, a self-organizing plan is used. Network input, three dimensions of energy and spatial coordinates of each node are denoted by X, Y and E, respectively. Connectional weights are the coordinates X, Y and E, which correspond to every unit of map, i.e., energetic nodes. The self-organizing neural network forms high-energy clusters based on the nodes in the network right after the training and reorganization of weights. In fact, each cluster is a combination of a high-energy node and the closest low energy nodes. Therefore, all clusters have almost the same energy level.
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Mohammad Hossein Shafiabadi received his B.S. degree from Shahid Beheshti University in 2001 and M.S. degree from Amir Kabir University in 2004 in Computer Engineering. He received his Ph.D. degree from Islamic Azad University in 2009. He has served as a faculty member in the Computer Engineering Department in Islamic Azad University IslamShahr Branch since 2005. He teaches courses in computer architecture, Operating systems and Network. His research interests include innovative methods in computer architecture such as Nano circuits, management of computer networks, distributed systems, and Cloud Computing.
Arman kavoosi Ghafi Bachelor degree in Computer Engineering-Software, Izeh Islamic Azad University, Izeh (Iran) in 2009–2013 and Master of Science in Computer Engineering-Software, Bushehr University of Science and Research, Bushehr (Iran) IN 2013–2015, and he is PhD candidate in Islamic azad University Borujerd Branch in Computer engineering. His research interests include, ITIL, WSN, Information Retrieval, IT MANAGEMENT, Network. Artificial intelligence, Algorithms, Image Processing.
Davvod Dehghan Manshady received a BSc in Software Computer engineering from Islamic Azad University Garmsar Branch in 2012 and MSc Degree in in Software Computer engineering from Islamic Azad University Islamshahr Branch in 2018. His research interests include innovative methods in management of computer networks and Cloud Computing.
Negar Noori received a BSc in geomatics engineering from K. N. Toosi University of Technology, Tehran, Iran, in 2014 and MSc in photogrammetry engineering at the same university, in 2017
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Shafiabadi, M.H., Ghafi, A.K., Manshady, D.D. et al. New Method to Improve Energy Savings in Wireless Sensor Networks by Using SOM Neural Network. J Serv Sci Res 11, 1–16 (2019). https://doi.org/10.1007/s12927-019-0001-x
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DOI: https://doi.org/10.1007/s12927-019-0001-x