Layout is an important issue in designing sensor adverse environment or hostile areas, aerial deployment is networks. This paper proposes a new approach for energy mostly performed. Once the sensors are deployed in ground, efficient layout of wireless sensor network. The sensors their initial position (co-ordinates) is transmitted to the DPU communicate with each other to transmit their data to a high for obtaining optimal position. The nodes are informed energy communication node which acts as an interface between about optimal positions to move to their corresponding data processing unit and sensors. Optimization of sensor locations is essential to provide communication for a longer locations. duration. An energy efficient layout with good coverage based Two types of functions are performed by the sensor on Multi-objective Particle Swarm Optimization algorithm is nodes: Sensing and Communicating. They can sense proposed here. During the process of optimization, sensors . move to form a uniformly distributed network. The two anythIng within the sensing radius Rsens and they can objectives taken into consideration are coverage and lifetime. communicate with any node within the communication Basically a set of network layouts are obtained. The simulation range Rcomm. The limited size, energy storage and memory results also exhibit improvement of performance with increase of the deployed sensors prevent them from relaying data in number of generations in the algorithm.directly to the data processing unit (DPU). A high energy communication node provides the transmission relay to
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