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Design and Performance evaluation of Sugeno fuzzy interface system for multi-disciplinary WSNs applications with optimized network structure - 2019

Research Area:  Wireless Sensor Networks


Mobile Sensor Network (MSN) is highly portable to acquire multi-disciplinary activities in the field of Military, Agriculture, Medical and Home appliances etc. The spatially scattered self-directed mobile nodes are brought forward gathered information and display optimal network environmental condition for further process to get relevant results. Hence, it is battery operated and thereby proper clustering, load balancing strategy is required to avoid energy consumption problem. In this paper, Mobility over Energy Aware Adaptive Cluster based Routing (M-EAAC) protocol is proposed for multi-disciplinary. WSN infrastructure, Fuzzy logic is used to select the performance guarantee Cluster Head (CH) with respect to nodes energy and communication cost (intra-cluster). It ensures energy efficient data transmission by changing the role of CH for every round from updating energy level and current location of its neighbors node. The functions of proposed protocol is carried by following sections such as Network Partitioning phase, Localization phase, Clustering phase, CH selection phase, Route Discovery phase, CH re-election phase and Load Balancing phase.

Author(s) Name:  S. Sivasakthiselvan,V. Nagarajan

Journal name:  Computer Communications

Conferrence name:  

Publisher name:  Elsevier B.V.

DOI:  10.1016/j.comcom.2019.07.021

Volume Information:  Volume 146, 15 October 2019, Pages 22-31