Load Balancing with Unequal region based Clustering approach for Wireless Sensor Network

V. Rajanesh

A wireless tactical sensor network (WSN) is a distributed network that facilitates the gathering of wireless information within a region. The limited battery power of each sensor node is a challenge to deploy WSNs. The service life of the network is significantly affected. The use of efficient routing mechanisms to improve the lifetime of a network requires that traffic be distributed between sensor nodes and gateway(s) to improve load balances. Thus, clustering is considered one of the powerful solutions to energy efficiency. The super node region in clusters is proposed to be distinguished by a tree based method for optimizing the cluster head (CH) selection with Fuzzy Logic technology to balance load of super node areas. In order to allow efficient use of the coverage area, the unequal region-based clustering method employs various type of sensor nodes in different areas. For transmission of data to the Base Station ( BS), hybrid routing is used. The CH selection number is optimized and the CH load equilibrium is optimized. We examine impact on the following energy aware load balancing techniques of the deploying of single and multiple gates: direct routing, low energy transmission, low energy adaptive cluster head and zone clustering. We analyze the effectiveness of these network performance algorithms for single and several gateway scenarios using comprehensive NS-2 simulations and show that the EELZ algorithm maximized coverage for network life and service area.

Volume 12 | Issue 6

Pages: 259-271

DOI: 10.5373/JARDCS/V12I6/S20201029