DocumentCode :
3221299
Title :
Lifetime maximization in cluster-based outage-restricted wireless sensor networks
Author :
Naghshin, Vahid ; Maham, Behrouz ; Saad, Walid ; Nickray, Mohsen
Author_Institution :
Sch. of Electr. & Comput. Eng., Univ. of Tehran, Tehran, Iran
fYear :
2012
fDate :
17-20 June 2012
Firstpage :
369
Lastpage :
373
Abstract :
Extending the lifetime of wireless sensor networks and reducing their energy consumption mandate the development of effective and efficient communication strategies. In this paper, we propose a novel scheme for extending network lifetime via joint power allocation and optimal cluster head (CH) selection under strict constraints on outage probability at the destination. Particularly, we develop a novel definition of network lifetime so as to capture the time beyond which the target outage probability QoS at the destination cannot be attained any longer. Using this definition, we develop a CH selection scheme which allows a group of sensors to choose the optimal CH so as to minimizes the cluster transmit power, subject to a desired outage constraint. Then, we devise a multi-hop transmission scheme using optimal power allocation at the CHs to send the data received from the sensors to the destination, via intermediate CHs, while optimizing the network lifetime. The proposed algorithm allows to find the power allocation at all hops (in-cluster and at the CH tier). Simulation results assess the performance and characteristics of the proposed approach under various path loss and outage probabilities, in a Rayleigh fading environment.
Keywords :
Rayleigh channels; probability; quality of service; wireless sensor networks; CH selection; QoS; Rayleigh fading environment; cluster transmit power; cluster-based outage-restricted wireless sensor network; communication strategy; energy consumption; multihop transmission scheme; network lifetime maximization; optimal CH; optimal cluster head selection; optimal power allocation; outage constraint; outage probability; path loss; Clustering algorithms; Optimization; Quality of service; Resource management; Sensors; Wireless communication; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Advances in Wireless Communications (SPAWC), 2012 IEEE 13th International Workshop on
Conference_Location :
Cesme
ISSN :
1948-3244
Print_ISBN :
978-1-4673-0970-7
Type :
conf
DOI :
10.1109/SPAWC.2012.6292930
Filename :
6292930
Link To Document :
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