Open AccessBio-Inspired Based Distributed Monitoring Technique for Clustering and Optimization in Wireless Sensor Networks
Author(s) -
M. S. Vinmathi,
Dr.M.S Josephine,
Dr.V. Jeyabalaraja
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.e6039.018520
Subject(s) - cluster analysis , computer science , wireless sensor network , network packet , computer network , swarm intelligence , distributed computing , transmission (telecommunications) , swarm behaviour , tracing , real time computing , particle swarm optimization , artificial intelligence , algorithm , telecommunications , operating system
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.