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Cross-Layer Optimization on Charging Strategy for Wireless Sensor Networks Based on Successive Interference Cancellation

机译:基于连续干扰消除的无线传感器网络计费策略跨层优化

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Communication interference and the energy limitation of nodes seriously hamper the fundamental performance of wireless sensor networks (WSN) such as throughput and network lifetime. In this paper, we focus on the Successive Interference Cancellation (SIC) aiming to realize multi-node concurrency communication and propose a heuristic power control algorithm. To prolong the network lifetime, we consider the scenario of mobile wireless charging equipment (WCE) periodically charging each node's battery wirelessly. Time-slice scheduling scheme and energy consumption optimization protocol are adopted to design an efficient cross-layer charging strategy. Then we use a near-optimal method to transform the original problem into a linear problem which yields identical optimal value. Simulation results demonstrate that adopting SIC and WCE can greatly improve channel utilization ratio and increase network throughput by 200% to 500% while ensuring the network lifetime.
机译:通信干扰和节点的能量限制严重阻碍了无线传感器网络(WSN)的基本性能,例如吞吐量和网络寿命。在本文中,我们集中在旨在实现多节点并发通信的连续干扰消除(SIC)上,并提出了一种启发式功率控制算法。为了延长网络寿命,我们考虑了移动无线充电设备(WCE)定期对每个节点的电池进行无线充电的情况。采用时间片调度方案和能耗优化协议设计了一种高效的跨层计费策略。然后,我们使用一种接近最优的方法将原始问题转换为线性问题,从而产生相同的最优值。仿真结果表明,采用SIC和WCE可以大大提高信道利用率,并在确保网络寿命的同时将网络吞吐量提高200%至500%。

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