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Energy-aware utility optimisation for joint multi-path routing and MAC layer retransmission control in TDMA-based wireless sensor networks

机译:基于TDMA的无线传感器网络中用于联合多径路由和MAC层重传控制的能量感知效用优化

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摘要

This paper formulates a novel energy-aware utility optimisation (EUO) problem for joint multi-path routing and medium access control (MAC) layer retransmission control in time division multiple access (TDMA)-based wireless sensor networks (WSNs). As the EUO problem is non-convex and inseparable, we propose a heuristic method called Successive Alternating Convex Approximation (SACA) to approximately solve the problem. More precisely, we decompose the EUO problem into two alternating convex sub-problems, namely energy-aware multi-path routing and retransmission control. On one hand, given the time slot allocation, the multi-path routing balances the energy consumption within WSNs. On the other hand, provided the traffic distribution, retransmission control enhances the data reliability in the most energy-efficient way. These two sub-problems are solved recursively by means of dual decomposition. The sequence of optimal solutions to these two sub-problems is shown to converge to some steady-state point that approximates a solution to the EUO problem.
机译:本文针对基于时分多址(TDMA)的无线传感器网络(WSN)中的联合多路径路由和媒体访问控制(MAC)层重传控制,提出了一个新的能源感知效用优化(EUO)问题。由于EUO问题是非凸且不可分割的,因此我们提出了一种称为逐次交替凸逼近法(SACA)的启发式方法来近似解决该问题。更确切地说,我们将EUO问题分解为两个交替的凸子问题,即能量感知多路径路由和重发控制。一方面,给定时隙分配,多路径路由平衡了WSN中的能耗。另一方面,在提供流量分配的情况下,重传控制以最节能的方式提高了数据可靠性。这两个子问题通过对偶分解递归解决。这两个子问题的最优解序列显示收敛到某个稳态点,该稳态点近似于EUO问题的解决方案。

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