Bayesian Estimation Model for Trust dependent Greedy Antivoid Routing(TGAR) in Wireless Sensor Networks(WSNs)
H. Sivasankari, K. R. Venugopal, Sitharama S. Iyengar, Lalit Mohan Patnaik · ePrints@Bangalore University (Bangalore University) · 2012
Wireless Sensor Networks consist of tiny battery operated sensor nodes and which are connected in a network for communication. Energy, lifetime and reliable data delivery are the major issues in Wireless Sensor Networks (WSNs). The objective of any routing algorithm in WSN is successful data delivery. The existing Greedy Antivoid Routing (GAR) uses the Rolling ball Un-directed Traversal, to guarantee the packet delivery from source to destination. In the case of sparse network, when it experiences either an obstacle or void in the route, then it fails to deliver the data. To address these issues, we propose Trust dependent Greedy Antivoid Routing (TGAR) algorithm to find reliable path from the source to the sink. We use Bayesian estimation model to calculate the trust value for each path. Based on the trust value path is selected for the transmission of data. Simulation results show that TGAR achieves successful data delivery, higher throughput and lifetime with minimum energy consumption than the existing Greedy Antivoid Routing (GAR) Algorithm.