Optimization of Wireless Sensor Network by Using Gary Wolf Optimization
Wireless sensor network (WSN) is a group of nodes that are connected to each other by wireless connection. WSN work on the dynamic topology of the network because positions of nodes in the wireless network are changing continuously. The nodes in WSN are basically made up of small electronics device which are used for sensing, computing and transmitting the data. The nodes are run on the battery power during communication process. The battery consumption in WSN is very high due to high computation operations on it. In the recent years WSN grows as a highly popular research area and its practical applicability also increased to provide effective computation. By considering the network structure routing is categorized into two parts that are flat and hierarchical routing. In this proposed work cluster are made by Grey Wolf optimization (GWO) on the basis of distance and energy parameters. The cluster head is also selected on the basis of GWO and IPv6 in three different metrics. At the end the performance evaluation of the proposed work is compared with the existing approach Low Energy Adaptive Clustering Hierarchy (LEACH) on the parameters of throughput, dead node, alive nodes and energy.
Unique Identification Number - IJEDR1804088Page Number(s) - 487-491Pubished in - Volume 6 | Issue 4 | December 2018DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Amit Chandel,   "Optimization of Wireless Sensor Network by Using Gary Wolf Optimization"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 4, pp. 487-491, December 2018, Available at :http://www.ijedr.org/papers/IJEDR1804088.pdf