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Joint node deployment and wireless energy transfer scheduling for immortal sensor networks

机译:永生传感器网络的联合节点部署和无线能量传输调度

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The lifetime of a wireless sensor network (WSN) is limited by the lifetime of the individual sensor nodes. A promising technique to extend the lifetime of the nodes is wireless energy transfer. The WSN lifetime can also be extended by exploiting the redundancy in the nodes' deployment, which allows the implementation of duty-cycling mechanisms. In this paper, the joint problem of optimal sensor node deployment and WET scheduling is investigated. Such a problem is formulated as an integer optimization whose solution is challenging due to the binary decision variables and non-linear constraints. To solve the problem, an approach based on two steps is proposed. First, the necessary condition for which the WSN is immortal is established. Based on this result, an algorithm to solve the node deployment problem is developed. Then, the optimal WET scheduling is given by a scheduling algorithm. The WSN is shown to be immortal from a networking point of view, given the optimal deployment and WET scheduling. Theoretical results show that the proposed algorithm achieves the optimal node deployment in terms of the number of deployed nodes. In the simulation, it is shown that the proposed algorithm reduces significantly the number of nodes to deploy compared to a random-based approach. The results also suggest that, under such deployment, the optimal scheduling and WET can make WSNs immortal.
机译:无线传感器网络(WSN)的生命周期受到各个传感器节点的生命周期的限制。延长节点寿命的一种有前途的技术是无线能量传输。还可以通过利用节点部署中的冗余来延长WSN生存期,从而实现占空比机制。本文研究了最优传感器节点部署和WET调度的联合问题。这样的问题被表述为整数优化,由于二进制决策变量和非线性约束,其解决方案极具挑战性。为了解决该问题,提出了一种基于两个步骤的方法。首先,确定WSN不朽的必要条件。基于此结果,开发了一种解决节点部署问题的算法。然后,通过调度算法给出最佳的WET调度。从网络的角度来看,从最佳的部署和WET调度的角度来看,WSN可以说是不朽的。理论结果表明,该算法在部署节点数量上达到了最优的节点部署。在仿真中,表明与基于随机的方法相比,所提出的算法显着减少了要部署的节点数量。结果还表明,在这种部署下,最佳调度和WET可以使WSN永生。

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