Energy efficient, obstacle avoidance path planning trajectory for localization in wireless sensor network

Abstract

In most of the WSN applications, thousands of sensors have to be located very accurately. Localization system is required to provide position information to the nodes. Traditional localization method involves utilizing global positioning system (GPS) in all the nodes. It gives high precision, but is suitable only for outdoor environment. The energy consumption is also high. Recently, localization of each node was done using range-based and range-free techniques. Use of movable beacons to assist the nodes of a WSN in estimating their positions, has been proposed. A beacon is a node that is aware of its position (with GPS) and it will move in and around the sensor field. This beacon can be a robot. This paper gives an overview of the different localization techniques in WSN and an obstacle avoidance path planning localization algorithms, based on V Curve. This algorithm avoids the use of GPS in all sensor nodes except for the mobile beacon. And also in real-time environments, if a beacon is moving, it will be highly influenced by the obstacles. To avoid this obstacle, back-tracking technique is used.