Mean-field performance analysis of a hazard detection Wireless Sensor network

Wireless Sensor networks (WSNs) are often deployed to monitor emergencies such as forest fires or land-slides. Naturally, such events can impact network performance by destroying sensors or otherwise limiting their transmission capabilities. Fail-safe WSN routing protocols can mitigate the effect by closing routing holes promptly. Our work presents a model of pheromone based, fail-safe WSN routing. In particular we use higher-order moment mean-field techniques to study network behaviour during topology changes.