This paper attempts to solve the problems of uneven energy consumption and premature death of nodes in the traditional routing algorithm of rechargeable wireless sensor network in the ubiquitous power Internet of things. Under the application environment of the UPIoT, a multipath routing algorithm and an opportunistic routing algorithm were put forward to optimize the network energy and ensure the success of information transmission. Inspired by the electromagnetic propagation theory, the author constructed a charging model for a single node in the wireless sensor network (WSN). On this basis, the network energy optimization problem was transformed into the network lifecycle problem, considering the energy consumption of wireless sensor nodes. Meanwhile, the traffic of each link was computed through linear programming to guide the distribution of data traffic in the network. Finally, an energy optimization algorithm was proposed based on opportunistic routing, in a more realistic low power mode. The experimental results show that the two proposed algorithms achieved better energy efficiency, network lifecycle and network reliability than the shortest path routing (SPR) and the expected duty-cycled wakeups minimal routing (EDC). The research findings provide a reference for the data transmission of UPIoT nodes.

中文翻译：

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普适电力物联网中WSN的能源优化

本文试图解决普适的电力物联网中传统的可充电无线传感器网络路由算法中能耗不均，节点过早死亡的问题。在UPIoT的应用环境下，提出了一种多路径路由算法和机会路由算法，以优化网络能量并确保信息传输的成功。受电磁传播理论的启发，作者为无线传感器网络（WSN）中的单个节点构建了收费模型。在此基础上，考虑到无线传感器节点的能耗，将网络能量优化问题转化为网络生命周期问题。同时，通过线性编程计算每个链路的流量，以指导网络中数据流量的分布。最后，提出了一种基于机会路由的能量优化算法，该算法以更现实的低功耗模式实现。实验结果表明，与最短路径路由（SPR）和预期的占空比唤醒最小路由（EDC）相比，所提出的两种算法具有更高的能效，网络生命周期和网络可靠性。研究成果为UPIoT节点的数据传输提供了参考。网络生命周期和网络可靠性要比最短路径路由（SPR）和预期的占空比唤醒最小路由（EDC）高。研究成果为UPIoT节点的数据传输提供了参考。网络生命周期和网络可靠性要比最短路径路由（SPR）和预期的占空比唤醒最小路由（EDC）高。研究成果为UPIoT节点的数据传输提供了参考。