Biphasic Localization Algorithm in Wireless Sensor Networks
In wireless sensor networks,localization is crucial to many applications. Localization in wireless sensor networks can be taken as an unconstrained optimization problem,and a biphasic localization algorithm based on hybrid taboo search is presented. After receives reference nodes information,the node will select several suitable reference nodes according to a proposed selection operator. Based on selected reference nodes,the initial estimate of location is get using modified BoundingBox algorithm. Then,one hybrid method is presented to improve the location estimate using iterative procedure,which is the combination of taboo search and simulated annealing. The simulation demonstrates that the proposed algorithm provides good localization performance.