Fuzzy optimization for distributed sensor deployment

The effectiveness of distributed wireless sensor networks depends highly on the deployment of sensors. Given a finite number of sensors, optimizing the sensor deployment enhances the field coverage of a wireless sensor network. Network lifetime and quality of communication in terms of outage probability are, as a result, greatly ameliorated as the topology fast approaches uniformity. We propose a fuzzy optimization algorithm (FOA) to adjust the sensor placement efficiently after an initial random deployment. We apply fuzzy logic theory to handle the uncertainty in the sensor deployment problem. Simulation results show that our approach achieves fast and stable deployment and maximizes the field coverage. Outage probability, as a measure of communication quality, is effectively decreased.