A HYBRID APPROACH FOR ENERGY OPTIMIZATION OF WIRELESS SENSOR NETWORK DEVICES
Authors: Davide Caputo, et al. Company: Politecnico di Milano, Dipartimento di Energia Date Published: 2/12/2009
Pan Pacific Symposium
Abstract: In recent years Wireless Sensor Networks (WSNs) have being attracting considerable research attention for a wide range of applications. Typically, a WSN consists of hundreds to thousands of sensor nodes that perform distributed sensing and data processing, and communicate over wireless channels. Several challenges must be considered to optimize the WSN from an energy efficient global perspective. The Genetical Swarm Optimization (GSO) is here applied. It has been developed in order to exploit in the most effective way the strengths of classical optimization approaches, and it is particularly suitable for combinatorial problem solving. In this paper the authors present key advantages of this technique in maximizing the lifetime of a wireless network in a multi-hop routing scheme.