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首页> 外文会议>2014 International conference on advanced networking distributedystems and applications >Regression Analysis for Energy and Lifetime Prediction in Large Wireless Sensor Networks
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Regression Analysis for Energy and Lifetime Prediction in Large Wireless Sensor Networks

机译：大型无线传感器网络中能量和寿命预测的回归分析

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摘要

Wireless communication technologies are used to collect information from sensitive, hostile and inaccessible environments. They are used in both military and civil applications that include environmental, medical, military and industrial fields. Routing data to a processing center or a base station requires mechanisms for energy conservation at the end of the prolonged lifetime of the network. The simulation in this case is very constrained by the high density of the network. Existing tools cannot simulate large networks with millions of sensors. In this paper, we propose a new method using statistical regression analysis in order to predict the energy consumption and the lifetime of a wireless sensor network with hundreds or thousands of sensors by simulating smaller networks. We have validated the proposed method using a Revised LEACH protocol. Indeed, this method can be used for other protocols and other kind of simulations with the purpose of evaluating a specific parameter.
机译：无线通信技术用于从敏感，敌对和不可访问的环境中收集信息。它们用于军事和民用领域，包括环境，医疗，军事和工业领域。将数据路由到处理中心或基站需要在网络延长寿命结束时进行节能的机制。在这种情况下，网络的高密度极大地限制了仿真。现有工具无法模拟具有数百万个传感器的大型网络。在本文中，我们提出了一种使用统计回归分析的新方法，以通过模拟较小的网络来预测具有数百个或数千个传感器的无线传感器网络的能耗和寿命。我们已经使用修订的LEACH协议验证了建议的方法。实际上，此方法可用于其他协议和其他类型的仿真，以评估特定参数。

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