Improved Distributed Fault Tolerant Clustering Algorithm for Fault Tolerance in WSN

Abstract

Wireless sensor network is built by deploying sensor nodes in the environment. Sensors perform the monitoring task substituting human presence at the site. Sensor nodes are freely deployed in the real time environment. Sensor nodes work on in-built batteries because it's not possible to provide power in the real time scenarios. Sensor nodes are freely deployed in the network without any supervision. Probability for the occurrence of fault in the network exists. Various techniques and algorithms are introduced to tackle the fault and reduce the energy consumption like Leach, EFDCB, etc. In this paper, we proposed an algorithm to improve life time of WSN by Improved distributed fault tolerant clustering algorithm for fault tolerance (IDFCA). Distributed fault tolerant clustering algorithm (DFCA) for fault tolerance has a drawback as the load on neighbouring CH increase and energy consumption is more. Improved distributed fault tolerant algorithm, IDFCA technique works to reduce the energy consumption by introducing hierarchy formation process of selecting CH and it also overcome the situation of faulty node. The performance of this new algorithm is evaluated by simulating it in NS2 environment and compared with DFCA. Simulation results show that it performs better than DFCA and thus can prolong the lifetime of the network.