DocumentCode :
1602503
Title :
Energy efficient distributed power management algorithm with directional antenna for wireless sensor networks
Author :
Pradhan, Nuraj ; Saadawi, Tarek
Author_Institution :
Dept. of Electr. Eng., City Univ. of New York, New York, NY, USA
fYear :
2011
Firstpage :
1
Lastpage :
6
Abstract :
Energy efficiency is an important consideration in a battery powered wireless sensor network (WSN). We propose an energy efficient Distributed Power Management algorithm with Directional Antenna (DDISPOW) that adaptively manages nodes´ power in a dynamic wireless network to preserve network connectivity and reduce interference cooperatively. DDISPOW, with adequate transmit power, is capable of providing strongly connected reliable network. It stabilizes node connectivity over the dynamic network environment and attempts to prevent nodes from being completely disconnected from the network. It highlights the benefits of using directional antenna with lower average power, reduced interference and as much as 31% improved throughput. It will be shown that DDISPOW, while adaptively maintaining network connectivity and improving network performance, is energy efficient and significantly reduces interference when compared to common power strategy. It also alleviates the dependency of common node power strategy on few nodes that are isolated in the network by their physical location and surrounding network environment.
Keywords :
directive antennas; interference suppression; telecommunication power supplies; wireless sensor networks; battery powered wireless sensor network; directional antenna; dynamic wireless network; energy efficient distributed power management algorithm; interference reduction; network connectivity; node power management; Algorithm design and analysis; Directional antennas; Heuristic algorithms; Interference; Network topology; Topology; Wireless sensor networks; Distributed power management algorithm; directional antenna; energy efficiency; topology control; wireless sensor network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sarnoff Symposium, 2011 34th IEEE
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-61284-681-1
Electronic_ISBN :
978-1-61284-680-4
Type :
conf
DOI :
10.1109/SARNOF.2011.5876471
Filename :
5876471
Link To Document :
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