Bio-Inspired Based Distributed Monitoring Technique for Clustering and Optimization in Wireless Sensor Networks
M.S.Vinmathi1, M.S.Josephine2, V.Jeyabalaraja3
1M.S.Vinmathi , Research Scholar ,Dr. M.G.R. Educational and Research Institute, Department of CSE, Periyar E.V.R. High Road, Viswasa Nagar, Maduravoyal, Chennai, Tamil Nadu, India.
2Dr. M. S Josephine , Addl. HOD &Prof, Department of Computer Applications ,Dr. M.G.R. Educational and Research Institute , Periyar E.V.R. High Road, Viswasa Nagar, Maduravoyal, Chennai, Tamil Nadu, India.
3Dr.V.Jeyabalaraja, Professor, CSE department ,Vellammal Engineering College, Velammal Nagar, Ambattur-Red Hills Road, Chennai, India.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 887-893 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6039018520/2020©BEIESP | DOI: 10.35940/ijrte.E6039.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Security threats are vulnerable in recent times. Kaspersky intelligence report confirms that clustering and attacks makes crucial impact on the network as compared with other security attacks in wireless based environment .The current work focus on clustering of nodes in WSNs. Cat swarm optimization (CSO) algorithm is one of the bio-inspired algorithm and implemented for optimization of nodes to find a better route to transmit data packets in WSN. Also the work focuses on the presence of Distributed Monitoring Approach to evaluate the seek or hunt mode and tracing mode nodes for better improvement in clustering the network. The network recital parameters such as ratio of delivery of data packets, and transmission capacity usage are analyzed to detect network flow in WSN. Reviews have been performed with the analysis of network performance with some of the existing techniques.
Keywords: Bio-inspired algorithm, Clustering, Distributed Monitoring Approach, network parameters, Cat swarm optimization, wireless sensor network.
Scope of the Article: Parallel and Distributed Algorithms.