基于随机几何理论考虑网络活动干扰的WSN最优链路控制

2016 10th IEEE International Conference on Anti-counterfeiting, Security, and Identification (ASID) Pub Date : 2016-09-01 DOI:10.1109/ICASID.2016.7873930

Jie Chen, B. Kan

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引用次数: 1

摘要

无线传感器网络(WSN)是近年来研究的热点。然而，由于能量的限制，无线传感器网络的应用领域仍然受到限制。传统上，利用k-hop干扰模型利用传感器节点的最小发射功率是一种流行的方法。然而，没有考虑网络活动。本文利用随机几何理论，利用网络活动感知干扰导出了一个正常的传输功率水平。为了提高网络性能，增强传输功率的活动节点根据信道状态信息(CSI)动态选择合适的数据速率值。实验结果表明，该策略可以提高无线传感器网络的能量效率。

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Optimal link control of WSN considering the network activity interference with stochastic geometry theory

Wireless Sensor Network(WSN) has become a hot topic in recent years. However, WSN's application areas still been limited beacase of the constrained energy. Traditionally, using the minimal transmitting power of sensor node by k-hop interference model is a popular way. However, network activity was not considered. In this paper, we derived a normal transmitted power level using network activity aware interference with stochastic geometry theory. For network performance improvement, active nodes with the enhanced transmitted power dynamically select suitable values of data-rate relying on channel state information (CSI). Experiments results show that our proposed strategy can improve the energy efficiency of WSNs.

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2016 10th IEEE International Conference on Anti-counterfeiting, Security, and Identification (ASID)

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