A Novel Distributed Algorithm for Complete Targets Coverage in Energy Harvesting Wireless Sensor Networks

Recently, researchers have created Wireless Mesh Networks (WMNs) where routers have multiple transmit (Tx) or receive (Rx) capability. A fundamental problem in such WMNs is deriving a transmission schedule that yields minimal end-to-end delays. In this paper, we approach this problem via joint routing and link scheduling. Specifically, we consider two fundamental issues that influence end-to-end delays: superframe length and transmission slot order. We propose two algorithms: JRS-Multi-DEC and JRS-BIP, where the former uses a novel metric to minimize the load of each link whilst the latter uses a binary integer program solver. Both algorithms have the similar aim of minimizing overall delay and to re-order slots such that packets are forwarded quickly along their path. Numerical results show that our algorithms can reduce average delay by approximately 50% as compared to a non joint routing and scheduling algorithm.