Title :
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
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;
Conference_Titel :
Communications (ICC), 2014 IEEE International Conference on
Conference_Location :
Sydney, NSW
DOI :
10.1109/ICC.2014.6883750
