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A fuzzy decision scheme for relay selection in cooperative wireless sensor network

机译:协同无线传感器网络中中继选择的模糊决策方案

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In energy-constrained military wireless sensor networks, minimizing the bit error rate (BER) with little compromise on network lifetime is one of the most challenging issues. This paper presents a new relay selection based on fuzzy logic (RSFL) scheme which provides balance between these parameters. The proposed scheme considers node's residual energy and path loss of the relay-destination link as the input parameters for the selection of the relay node. The relay node selection by fuzzy logic is based on prioritizing higher residual energy and minimum path loss. To evaluate the performance on wireless sensor network, we compare the proposed scheme with the three existing relay selection strategies, ie, random, maximum residual energy based relay selection (MaxRes), and minimum energy consumption based relay selection (MinEnCon). The simulation results of the proposed scheme in terms of network lifetime, BER, Network Survivability Index (NSI), and average energy of network nodes have been presented and compared with different relay selection schemes. The simulation results show that the proposed RSFL scheme has the lowest BER, moderate network lifetime, average energy, and NSI.
机译:在能耗受限的军用无线传感器网络中,在不影响网络寿命的前提下最小化误码率(BER)是最具挑战性的问题之一。本文提出了一种基于模糊逻辑(RSFL)方案的新型继电器选择,它可以在这些参数之间实现平衡。所提出的方案将节点的剩余能量和中继目的地链路的路径损耗视为选择中继节点的输入参数。通过模糊逻辑的中继节点选择基于优先考虑较高的剩余能量和最小的路径损耗。为了评估无线传感器网络上的性能,我们将提出的方案与三种现有的中继选择策略进行了比较,即随机,基于最大剩余能量的中继选择(MaxRes)和基于最小能耗的中继选择(MinEnCon)。提出了该方案在网络寿命,误码率,网络生存能力指数(NSI)和网络节点平均能量方面的仿真结果,并与不同的中继选择方案进行了比较。仿真结果表明,所提出的RSFL方案具有最低的误码率,适中的网络寿命,平均能量和NSI。

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