An Optimal Sensor Localization Technology for WSN

A methodology for generating optimal sensor location design for wireless sensor network (WSN) is presented. Location of sensors, cost of measurement and frequency of sampling are important factors that have been incorporated in the sensor network design formulation. The proposed methodology is based on the beacon-less location discovery scheme between the quality of state estimation and the total measurement cost associated with the sensor network. To accommodate different sampling frequencies and evaluate their effect on state estimation accuracy, a unique method is used. In general, higher accuracies of the state estimates are realizable at expense of higher measurement cost. Incorporation of these conflicting objectives of minimizing measurement cost and maximizing estimation accuracy results in a combinatorial optimization problem. The resulting solutions can be then analyzed by the process designer for determining an appropriate WSN.