Wireless Sensor networks (WSNs) are often deployed to monitor emergencies such as forest fires or landslides. 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.
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