Enhanced Cluster Based Distributed Fault Tolerance Algorithm for Mobile Node in WSN

Abstract

In recent years, wireless sensor networks (WSNs) have gained increasing attention from researchers and scholars. One of the major issues in wireless sensor network is developing an energy-efficient and fault tolerance clustering protocol. Hierarchical clustering algorithms are very important in increasing the network’s life time. Thus, improving the energy and find fault in the networks becomes important.
In this research work, we purposes a new algorithm named as ECBDFT algorithm for clustering and for selection of cluster head selection to improve energy efficiency and fault tolerance. In addition, comparison of DFCA with purposed system also evaluated in research work. This modified approach proposes selection of a cluster head selection with good performance and reduced overhead and computational complexity. Our purposed algorithm ECBDFT, improve performance with faster convergence.
Key words: Network clustering, Fault-tolerance, sensor nodes