RSS-Based Sensor Localization in the Presence of Unknown Channel Parameters

This correspondence studies the received signal strength-based localization problem when the transmit power or path-loss exponent is unknown. The corresponding maximum-likelihood estimator (MLE) poses a difficult nonconvex optimization problem. To avoid the difficulty in solving the MLE, we use suitable approximations and formulate the localization problem as a general trust region subproblem, which can be solved exactly under mild conditions. Simulation results show a promising performance for the proposed methods, which also have reasonable complexities compared to existing approaches

Positioning of Node Using Plane Projection onto Convex Sets

We deal with positioning of node in wireless sensornetwork (WSN) using received signal strength (RSS) when thereis no priori knowledge about path-loss exponent and transmissionpower. Since the RSS decreases on the average with distance, itcarries some information about the distance to an unknown node.By ordering the RSS\u27s, we conclude that there are some convexsets where the position of the unknown node can be found inthe intersection of them. We introduce a plane projection ontoconvex sets (PPOCS) approach to solve the positioning problem.Simulation results show good performance for the new methodscompared to other reduced complexity algorithms