Resilient Sensor Networks utilizing dynamic resource reuse

An important mandate for the operation of Wireless Sensor Networks (WSNs) is ensuring resilient operation. While current solutions, such as over-deployment, ruggedized packaging and re-mobilization of sensing nodes, offer viable remedies, the question of resilience lies beyond sheer functionality with fault tolerance. That is, a trade-off has commonly grown to be a myth, we could either have a resilient network, or an efficient one. In this paper we present a model that adopts a resilient paradigm of resource reuse (RR), named RR-WSNs, whereby the individual resources of sensing systems would be re-utilized and assigned to different applications as failures occur. We elaborate on our definition of functional coverage in WSNs, and how application requirements are met by assigning functional tasks to viable resources in the region of interest. We present an optimal mapping via a binary integer programming formulation. We present our results from Matlab implementations, demonstrating functional longevity.