Wireless sensor deployment decision support using genetics algorithm and devs formalism
Résumé
The deployement of a Wireless Sensors Network appears as a strategical aspect in the environmental monitoring. A random deployement is efficient if the entities are mobile and able to take account of the positon of each others. If the WSN is static the deployment must be adapted at the monitoring area and must respect the intrinsic parameters of the WSN. To predict the best positionment of the WSN entities the simulation appears as an efficient way. This paper describes a framework based on the DEVS (Discrete Event System) formalism and GA (Genetic algorithms). This decision support tool for the deployment focuses on the improvement of two main characteristics of the network: The sensor coverage, and the connectivity between nodes.