Genetic Algorithm-Based Sensor Deployment with Area Priority

We are introducing a new design goal called area priority for finding optimal sensor node distribution. Environment that wireless sensor network (WSN) will be placed is divided into parts and priorities are attached to these parts. Priorities make the deployment problem adaptable to non-homogeneous environments such as forests having regions that have different importance levels. Various tree/animal types and densities, residential in the forest can be modeled by the area priority concept that we proposed. We also developed a genetic algorithm based method to optimize the total importance in a fully connected WSN. Experimental results obtained for different priorities are presented and discussed.