Collaborative Scheduling Using Cooperative Sensing Model for Wsns

One of the major challenges in constructing wireless sensor networks (WSNs) is to ensure the quality of coverage (QoC) as well as save energy. Considering the cooperative sensing model and the random deployment policy, the judgment model of redundant node without location information is presented. Furthermore, the distributed collaborative scheduling algorithm (DCSA) is designed to guarantee the QoC of networks with the least number of nodes. It chooses the uniformly-located working nodes and makes sure that the energy consumption of each node consumes homogeneously. Simulation results show that the DCSA policy not only provides the desired QoC of networks, but also reduces the number of working nodes significantly, saves the energy of the networks, and extends the network lifetime.