An Energy-efficient Hierarchical Protocol for Wireless Powered Sensor Networks

Yang, Yizhen1; Han, Zidong1; Ma, Guoqing1; Gong, Yi1; Qian, Liang2

10.1109/ICDSP.2018.8631823

2018

1546-1874

978-1-5386-6812-2

2018 IEEE 23RD INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP)

2018-November

1-5

19-21 Nov. 2018

Shanghai, China

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

In this paper, a new hierarchical protocol has been proposed for the emerging wireless powered sensor network (WPSN) in which a centralized hybrid sink node (HSN) firstly supplies the sensor nodes (SN) with stable power wirelessly, and then it aggregates packets of sensed data through multiple hops for energy saving. In WPSN, the performance of packet aggregation will be dramatically influenced by severe Doubly Near-Far Effect, thus some SNs located far from HSN require much more energy to send packets but only can harvest little energy. So in our model, from the perspective of energy saving, the network is proposed to be divided into several layers. In order to obtain the exact border of each layer, the energy broadcasted by HSN and the radius of each layer are optimized. Numerical results are provided to demonstrate the proposed solutions. Our proposed protocol outperforms the typical protocols of WSN and the star network topology in the same condition.

Wireless powered sensor network doubly near far effect energy-efficient hierarchical protocol

第一 ; 通讯

英语

CPCI-S ; EI

Maker Program[GRCK2016033111492413]

Engineering

Engineering, Electrical & Electronic

WOS:000458909600204

20191106629463

Digital signal processing ; Energy conservation ; Internet protocols ; Sensor networks ; Sensor nodes

Energy Conservation:525.2 ; Computer Systems and Equipment:722 ; Computer Software, Data Handling and Applications:723

Web of Science

1.Southern Univ Sci & Technol, Shenzhen, Peoples R China
2.Shanghai Jiao Tong Univ, Shanghai, Peoples R China

Yang, Yizhen,Han, Zidong,Ma, Guoqing,et al. An Energy-efficient Hierarchical Protocol for Wireless Powered Sensor Networks[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2018:1-5.