Sinks Localization Optimization in Wireless Sensor Networks based on Shortest Path in Graph

Wireless sensor networks use in different area as network technology for data collecting and gathering. This network in different application have some common challenges which consider sensor node deployment, routing, clustering, security, coverage, energy consumption, quality of services and others. This research present a structure of wireless sensor network which sensor nodes deploy in random areas and energy consumption and quality of services such as throughput and sink localization accuracy estimation will be performed. Initial deployment of sensor nodes will be done with initial energy of each sensor nodes in determined area of wireless sensor network and then some sink nodes use for optimized data transmission with minimum energy consumption and green structure. Therefore, a graph-based approach named minimum path in graph between sensor nodes for sink localization in data transmission use. The reason for using graph structures is that in wireless sensor networks, the paths are mapped to a graph and based on the minimum distance between the two sensor nodes or to the sink node, the optimal mode can be optimized. Simulation results in MATLAB represent that proposed approach has better energy consumption and quality of services and also has high accuracy in sink localization.

Keywords:

WIRELESS SENSOR NETWORK , SINK LOCALIZATION , ENERGY ONSUMPTION , MINIMUM PATH OF GRAPH