DocumentCode :
1625787
Title :
Multicommodity Lifetime Routing for Wireless Sensor Networks with Multiple Sinks
Author :
Shah-Mansouri, Vahid ; Rad, A. Hamed Mohsenian ; Wong, Vincent W S
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC
fYear :
2008
Firstpage :
3225
Lastpage :
3229
Abstract :
Wireless sensor networks (WSNs) have recently received increasing attention from research and development communities. In a WSN, the field information (e.g., temperature, humidity, airflow) is acquired via several battery-equipped wireless devices and is relayed towards a sink node. As the size of the WSNs increases, it becomes inefficient to gather all information in one sink. To tackle this problem, the number of sinks can be increased. The data information flow towards each of the sinks is called a commodity. In this paper, we formulate a lexicographically optimal commodity lifetime (LOCL) routing problem. A stepwise algorithm is proposed to obtain the optimal routing solution which can lead to lexicographical fairness among commodity lifetimes. Simulation results show that our proposed algorithm increases the normalized commodity lifetime compared to MLMS [1] and LMM [2] routing algorithms.
Keywords :
telecommunication network routing; wireless sensor networks; LMM; MLMS; battery-equipped wireless devices; data information flow; lexicographical fairness; lexicographically optimal commodity lifetime routing problem; multicommodity lifetime routing; normalized commodity lifetime; stepwise algorithm; wireless sensor networks; Communications Society; Electronic mail; Energy consumption; Iterative algorithms; Peer to peer computing; Relays; Research and development; Routing; Temperature sensors; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2008. ICC '08. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2075-9
Electronic_ISBN :
978-1-4244-2075-9
Type :
conf
DOI :
10.1109/ICC.2008.607
Filename :
4533643
Link To Document :
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