Path Optimization Algorithm in Wireless Sensor Network with Obstacle

Abstract

<p>Clustering is used for prolonging the network lifetime in WSN. It groups sensor nodes into different groups and selects a single node as a cluster head (CH) for all the groups. CHS collect the data from consonant clusters and forward the data to base station. In this paper, we proposed path optimization algorithm in Wireless Sensor Network with an obstacle (POAWSNO) that periodically selects the cluster heads according to quality factor. The quality factor is estimated by three criteria including quality of the link, remaining energy and degree of the node. Path optimization technique determines the shortest path during obstacle present in the WSN. POT is used to reduce the hop count and packet delay. The simulation results demonstrate that this approach improves the throughput and reduce the loss of packets and energy consumption in the network using network simulator.</p>

Efficient Energy Management Approach for Tracking Location in Wireless Sensor Networks

“…In the event that a sensor hub begins up too every now and again, it needs additional time, as well as costs additional vitality for the state change. Hence, the state progress, e.g., from the rest state to the dynamic state, ought to be considered for a vitality effective TDMA rest planning for WSNs [18].…”