Node Localization based on Convex Optimization in Wireless Sensor Networks

Abstract

This paper proposes a Node Localization algorithm using Convex Optimization (which is called NLCO) in Wireless Sensor Networks. NLCO can be used to help localizing a friend or malicious node. NLCO uses an algorithm based on optimization of convex to evaluate the place of malicious node. Simulation results show that NLCO is both secure and robust in an environment without colluding. NLCO can identify more than half of the malicious nodes. Furthermore in an environment with colluding, no more than 15% of malicious nodes can escape from the identification of our methods.