Packets Transmission in Wireless Sensor Networks: Interference, Energy and Delay-Aware Approach

Xinsheng Xia, Q. Liang
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引用次数: 3

Abstract

Delay and energy efficiency are two important parameters to evaluate the wireless sensor networks (WSN) quality. In the WSN, the interference will affect the packets transmission. When a sensor needs to send a packet, we choose the parameter signal-to-interference ratio (SIR) as the threshold to decide whether send or not. SIR thresholds selection show SIR could manage the tradeoff between the average delay and energy consumption. We propose fuzzy logic system (FLS) in the optimization of SIR threshold selection. Average delay and distance of a node to the source node are selected as antecedents for the FLS. The output of FLS provides adjusting factor for the SIR threshold. Simulation result show the fuzzy optimization could achieve a better network efficiency, reduce the average delay and extend the network lifetime.
无线传感器网络中的数据包传输:干扰、能量和延迟感知方法
时延和能量效率是评价无线传感器网络质量的两个重要参数。在无线传感器网络中,干扰会影响报文的传输。当传感器需要发送数据包时,我们选择信号干扰比(SIR)参数作为阈值来决定是否发送。SIR阈值的选择表明SIR可以在平均延迟和能量消耗之间进行权衡。我们提出模糊逻辑系统(FLS)用于SIR阈值选择的优化。选择节点到源节点的平均延迟和距离作为FLS的前项。FLS的输出为SIR阈值提供了调节因子。仿真结果表明,模糊优化可以获得更好的网络效率,降低平均时延,延长网络寿命。
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