Abstract-The effectiveness of distributed wireless sensor networks highly depends on the deployment of sensors. Given a finite number of sensors, optimizing the sensor deployment will enhance the field coverage of a wireless sensor network. Network lifetime and quality of communication in terms of outage probability as a result, will be greatly ameliorated as the topology approaches uniformity fast. In this paper, we propose a fuzzy optimization algorithm (FOA) to efficiently adjust the sensor placement after an initial random deployment. We apply fuzzy logic theory to handle the uncertainty in sensor deployment problem. Simulation results show that our approach achieves fast and stable deployment and maximize the field coverage. Outage probabiliy, as a measure of communication quality gets effectively decreased.
Shu REF proposed a fuzzy optimization algorithm (FRBS) to efficiently adjust the sensor placement after an initial random deployment.
Fuzzy optimization for distributed sensor deployment
IEEE Wireless Communications and Networking Conference, 2005
IEEE Wireless Communications and Networking Conference, 2005
Computer Science