Analysis of per-node traffic load in multi-hop wireless sensor networks
Analysis of per-node traffic load in multi-hop wireless sensor networks
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DOI：
10.1109/twc.2009.080008
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发表时间：
2009-02
影响因子：
10.4
通讯作者：
Q. Chen;S. Kanhere;Mahbub Hassan
中科院分区：
文献类型：
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作者：
Q. Chen;S. Kanhere;Mahbub Hassan
传感器节点在数据通信中消耗的能量占其总能量消耗的很大一部分。因此，一个数学模型，可以准确地预测传感器节点的通信流量负载是设计高效的传感器网络协议的关键。在本文中，我们提出了一个分析模型，估计每个节点的流量负载在多跳无线传感器网络。我们考虑一个典型的场景，其中，传感器节点周期性地感知环境，并使用贪婪的地理路由将收集到的样本转发到一个汇。分析采用了理想的圆形覆盖无线电模型，以及一个现实的模型，对数正态阴影。我们的研究结果证实，无论无线电模型，流量负载一般增加作为一个功能的节点的接近汇。然而，在水槽附近，这两个无线电模型产生了截然不同的结果。理想的无线电模型揭示了在汇附近存在一个火山区域，在那里流量负载显着下降。相反，对数正态阴影模型，观察到相反的效果，其中的流量负载实际上增加了一个更高的速率，因为一个接近汇，导致形成一个山峰。我们的分析结果进行了验证，通过广泛的模拟。
The energy expended by sensor nodes in data communication makes up a significant quantum of their total energy consumption. Consequently, a mathematical model that can accurately predict the communication traffic load of a sensor node is critical for designing efficient sensor network protocols. In this paper, we present an analytical model for estimating the per-node traffic load in a multi-hop wireless sensor network. We consider a typical scenario wherein, the sensor nodes periodically sense the environment and forward the collected samples to a sink using greedy geographic routing. The analysis incorporates the idealistic circular coverage radio model as well as a realistic model, log-normal shadowing. Our results confirm that irrespective of the radio model, the traffic load generally increases as a function of the node's proximity to the sink. However, in the immediate vicinity of the sink, the two radio models yield quite contrasting results. The ideal radio model reveals the existence of a volcano region near the sink, where the traffic load drops significantly. On the contrary, with the log-normal shadowing model, the opposite effect is observed, wherein the traffic load actually increases at a much higher rate as one approaches the sink, resulting in the formation of a mountain peak. The results from our analysis are validated by extensive simulations.