DocumentCode :
2892685
Title :
Minimum Energy Strong Bidirectional Topology for Ad Hoc Wireless Sensor Networks
Author :
Aneja, Y.P. ; Bari, A. ; Jaekel, A. ; Chandrasekaran, R. ; Nair, K.P.K.
Author_Institution :
Univ. of Windsor, Windsor, ON, Canada
fYear :
2009
fDate :
14-18 June 2009
Firstpage :
1
Lastpage :
5
Abstract :
A node in a wireless sensor network typically consists of a micro-controller, a communication device or transceiver, and a battery unit for powering the transceiver and other devices. An important feature of wireless sensor networks is the low power consumption requirement, since these sensor nodes carry generally irreplaceable power sources or batteries. We consider the problem of assigning a power to each node in the network such that the induced connectivity graph is strongly connected with only bidirectional links, and the sum total of powers assigned to all sensor nodes is minimized. This will allow the nodes to communicate with each other, while conserving battery power as much as possible. This problem has been shown to be strongly NP-complete and heuristic approaches for solving this problem have been reported in the literature. In this paper, we establish a lower bound on the optimal power value, and provide a sufficient condition for a minimal spanning tree (MST) based approach to be an optimal solution to the problem. Based on this condition, we propose a novel heuristic approach which computationally outperforms previously reported heuristics.
Keywords :
ad hoc networks; computational complexity; graph theory; microcontrollers; telecommunication network topology; wireless sensor networks; NP-complete problem; ad hoc wireless sensor networks; bidirectional links; bidirectional topology; connectivity graph; heuristic approaches; low power consumption requirement; microcontroller; minimal spanning tree; optimal power value; transceiver; Batteries; Communications Society; Computer architecture; Electronic mail; Network topology; Peer to peer computing; Relays; Sufficient conditions; Transceivers; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2009. ICC '09. IEEE International Conference on
Conference_Location :
Dresden
ISSN :
1938-1883
Print_ISBN :
978-1-4244-3435-0
Electronic_ISBN :
1938-1883
Type :
conf
DOI :
10.1109/ICC.2009.5199183
Filename :
5199183
Link To Document :
بازگشت