A distributed gradient-assisted anycast-based backpressure framework for wireless sensor networks

Author

Zhenzhen Jiao ; Zheng Yao ; Baoxian Zhang ; Cheng Li

Author_Institution

Res. Center of Ubiquitous Sensor Networks, Univ. of Chinese Acad. of Sci., Beijing, China

fYear

2014

fDate

10-14 June 2014

Firstpage

2809

Lastpage

2814

Abstract

Recently, much effort has been made for implementation of back-pressure scheduling in wireless networks. In this paper, we explore the implementation of back-pressure-based forwarding in wireless sensor networks. For this purpose, we propose Gradient-pressure, a practical Gradient-assisted anycast-based back-pressure framework for wireless sensor networks. Gradient-pressure introduces gradient information to assist transmission scheduling and realizes distributed anycast-based back-pressure scheduling on top of IEEE 802.11. Simulation results demonstrate that Gradient-pressure has high performance in terms of energy-use efficiency and goodput.

Keywords

gradient methods; scheduling; wireless sensor networks; IEEE 802.11; back-pressure-based forwarding; distributed gradient-assisted anycast-based backpressure scheduling framework; energy-use efficiency; gradient information; transmission scheduling; wireless sensor networks; IEEE 802.11 Standards; Optimization; Receivers; Routing; Scheduling; Wireless communication; Wireless sensor networks; Back-pressure algorithm; Gradient-based routing; anycast forwarding; energy-use-efficiency; goodput;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications (ICC), 2014 IEEE International Conference on

Conference_Location

Sydney, NSW

Type

conf

DOI

10.1109/ICC.2014.6883750

Filename

6883750