A lifetime optimization mobile data gathering strategy with adaptive compressive sensing in WSN
Xiaoyong Zhang, Qianqian Zhang, Jun Peng, Yeru Zhao, Weirong Liu · 2017
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.