A Lifetime Optimization Mobile Data Gathering Strategy with Adaptive Compressive Sensing in WSN

被引：0

作者：

Zhang, Xiaoyong ^{[1
]}

Zhang, Qianqian ^{[1
]}

Peng, Jun ^{[1
]}

Zhao, Yeru ^{[1
]}

Liu, Weirong ^{[1
]}

机构：

[1] Cent S Univ, Sch Informat Sci & Engn, Changsha 410075, Hunan, Peoples R China

来源：

PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年

关键词：

Wireless sensor network; Data gathering; Compressive sensing; Energy efficiency; Data reconstruction; WIRELESS SENSOR NETWORKS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Wireless sensor network is an important component of Internet of Things. With the expansion of the network scale, sensor nodes with limited hardware resources and energy supply cannot meet the large-scale transmission and processing of vast amounts of information. Compressive sensing is introduced to improve the energy efficiency of data transmission. In this paper, a mobile data gathering strategy based on adaptive hybrid compressive sensing is proposed. Firstly, the maximum lifetime problem of the network is formulated to the network energy consumption balance problem. Secondly, the mobile actuator path planning problem is converted to a traveling salesman problem optimization problem and a delay based dynamic subnetting is designed. Finally, simulation results evaluate the energy efficiency of our proposed strategy.

引用

页码：8970 / 8975

页数：6

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