Interference power sum with log-normal components in ad-hoc and sensor networks

R. Hekmat, P. Mieghem
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引用次数: 16

Abstract

The log-normal shadowing radio model has frequently been used to model radio propagation conditions. There exist accurate calculation methods for estimation of interference power sum statistics in fixed-topology wireless networks based on this radio model. Here we publish essential additions to these estimation methods to expand their use to sensor networks and ad-hoc networks with changing topology. To our best knowledge this has not been done before. Taking into account radio propagation conditions, density of nodes, size of the network, traffic load per node and MAC protocol characteristics, we present a calculation method for the estimation of interference power sum statistics in wireless ad-hoc and sensor networks. The accuracy of the calculation method is verified by simulations. We highlight the influence of MAC protocols on interference and show that an increase in network size or in node density does not necessarily lead into higher interference values. Our results can be deployed to estimate the network capacity.
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自组网和传感器网络中对数正态分量的干扰功率和
对数正态阴影无线电模型经常被用来模拟无线电传播条件。基于该无线电模型,已有准确的计算方法估计固定拓扑无线网络中干扰功率和统计量。在这里,我们发布了这些估计方法的基本补充,以扩展它们在传感器网络和具有变化拓扑的ad-hoc网络中的应用。据我们所知,以前还没有这样做过。考虑无线自组织网络和传感器网络的无线电传播条件、节点密度、网络规模、节点流量负荷和MAC协议特性,提出了一种估计无线自组织网络和传感器网络中干扰功率和统计量的计算方法。通过仿真验证了计算方法的准确性。我们强调了MAC协议对干扰的影响,并表明网络规模或节点密度的增加并不一定会导致更高的干扰值。我们的结果可以用于估计网络容量。
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