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重传情况下的同质无线传感器网络基于部署的寿命优化模型

Deployment-based lifetime optimization model for homogeneous Wireless Sensor Network under retransmission.

作者信息

Li Ruiying, Liu Xiaoxi, Xie Wei, Huang Ning

机构信息

School of Reliability and Systems Engineering, Beihang University, No.37 Xueyuan Road, Haidian District, Beijing 100191, China.

Department of Systems and Industrial Engineering, University of Arizona,Tucson, AZ 85721, USA.

出版信息

Sensors (Basel). 2014 Dec 10;14(12):23697-724. doi: 10.3390/s141223697.

Abstract

Sensor-deployment-based lifetime optimization is one of the most effective methods used to prolong the lifetime of Wireless Sensor Network (WSN) by reducing the distance-sensitive energy consumption. In this paper, data retransmission, a major consumption factor that is usually neglected in the previous work, is considered. For a homogeneous WSN, monitoring a circular target area with a centered base station, a sensor deployment model based on regular hexagonal grids is analyzed. To maximize the WSN lifetime, optimization models for both uniform and non-uniform deployment schemes are proposed by constraining on coverage, connectivity and success transmission rate. Based on the data transmission analysis in a data gathering cycle, the WSN lifetime in the model can be obtained through quantifying the energy consumption at each sensor location. The results of case studies show that it is meaningful to consider data retransmission in the lifetime optimization. In particular, our investigations indicate that, with the same lifetime requirement, the number of sensors needed in a non-uniform topology is much less than that in a uniform one. Finally, compared with a random scheme, simulation results further verify the advantage of our deployment model.

摘要

基于传感器部署的寿命优化是通过减少距离敏感型能耗来延长无线传感器网络(WSN)寿命的最有效方法之一。本文考虑了数据重传这一在以往工作中通常被忽视的主要能耗因素。对于一个具有中心基站的均匀WSN,监测圆形目标区域,分析了基于正六边形网格的传感器部署模型。为了最大化WSN寿命,通过对覆盖范围、连通性和成功传输率进行约束,提出了均匀和非均匀部署方案的优化模型。基于数据收集周期中的数据传输分析,通过量化每个传感器位置的能耗,可以得到模型中的WSN寿命。案例研究结果表明,在寿命优化中考虑数据重传是有意义的。特别是,我们的研究表明,在相同的寿命要求下,非均匀拓扑结构所需的传感器数量比均匀拓扑结构少得多。最后,与随机方案相比,仿真结果进一步验证了我们部署模型的优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a506/4299083/c76c11d7203b/sensors-14-23697f1.jpg

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