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Energy efficient routing techniques with guaranteed reliability based on multi-level uncertain graph

机译:基于多级不确定图的具有保证可靠性的节能路由技术

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In recent years, an emerging low-power system “wireless sensor networks (WSNs)” attracts significant research interests. The energy of the distributed sensors is an essential constraint in such a complex distributed embedded system. Routing techniques in WSNs always follow a high-performance and energy-efficient way. However, conventional routing schemes of WSNs generally do not take the timing and reliability requirements into account when making routing decisions to prolong the lifetime of WSNs. Moreover, due to environmental factors such as temperature, humidity and signal interference, the bandwidths of links in a WSN various from time to time like random variables, which demands special considerations when timing and reliability requirements are presented for routing. In this paper, we introduce a graph model called Multi-level Uncertain Graph (MUG) to deal with the situation. Based on the MUG model, we define the new problem as the Energy-Balanced Transmission (EBT) Problem, and propose a EBT-Solver to maximize the lifetime of the WSN subject to timing and reliability constraints. Experimental results show that EBT-Solver solves EBT problem to the best advantage of energy balance and network's lifetime.
机译:近年来,新兴的低功耗系统“无线传感器网络(WSN)”吸引了重要的研究兴趣。在这种复杂的分布式嵌入式系统中,分布式传感器的能量是必不可少的约束。 WSN中的路由技术始终遵循高性能和高能效的方式。但是,在制定路由决策以延长WSN的寿命时,WSN的常规路由方案通常不考虑时序和可靠性要求。此外,由于诸如温度,湿度和信号干扰之类的环境因素,WSN中链路的带宽随时间而变化,就像随机变量一样,当为路由提出时序和可靠性要求时,需要特别考虑。在本文中,我们介绍了一种称为多级不确定图(MUG)的图模型来处理这种情况。基于MUG模型,我们将新问题定义为能量平衡传输(EBT)问题,并提出一种EBT-Solver,以在受时序和可靠性约束的情况下最大程度地延长WSN的寿命。实验结果表明,EBT-Solver可以最大程度地利用能量平衡和网络寿命来解决EBT问题。

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