An optimized random selective forwarding algorithm for maximizing the lifetime of wireless sensor network
S. Sarulatha, M. S. Vasanthi · 2015
Wireless Sensor Network (WSN) is comprised of large number of sensor nodes interconnected by means of wireless link. The primitive objective of WSN is to answer queries by gathering the sensed data from the deployed sensors. Clustering algorithms are utilized to form hierarchical network topology, which is a most common method in WSN. In this paper energy efficient Random Selective Forwarding (RSF) and Transition State Switching (TSS) Algorithms are proposed. The performance metrics such as data rate, energy consumption and residual energy are plotted using Network Simulator 2. The simulation results depicting the performance of RSF and TSS shows that the proposed algorithms provides better results than the existing algorithm and it also reduces the power consumption of sensor nodes.