DocumentCode :
231171
Title :
Energy efficient cooperative MISO scheme for cluster-based M2M capillary networks
Author :
Liumeng Song ; Kok Keong Chai ; Yue Chen ; Schormans, John
Author_Institution :
Sch. of Electron. Eng. & Comput. Sci., Queen Mary Univ. of London, London, UK
fYear :
2014
fDate :
7-10 Sept. 2014
Firstpage :
310
Lastpage :
315
Abstract :
Cooperative multiple-input-single-output (CMISO) introduces cooperative nodes (Coops) to reduce the energy consumption of the cluster head (CH) in cluster-based M2M capillary networks. Although CMISO reduces energy consumption of CH, it introduces additional energy overhead to Coops, which contributes to a reduction of network lifetime. In this paper, we propose a joint CH and Coops selection (JCCS) scheme with the objective of maximizing the network lifetime. An exhaustive search technique combined with merge-and-split operation based on Pareto order method is applied to select the best CH and Coops. Simulation results show that the proposed JCCS algorithm outperforms CMISO transmission with LEACH protocol in terms of network lifetime.
Keywords :
Pareto optimisation; cooperative communication; energy conservation; power consumption; search problems; telecommunication power management; CMISO transmission; JCCS algorithm; LEACH protocol; Pareto order method; cluster head; cluster-based M2M capillary networks; cooperative multiple-input-single-output; cooperative nodes; coops selection scheme; energy consumption; energy efficient cooperative MISO scheme; merge-and-split operation; network lifetime reduction; search technique; Energy consumption; Multimedia communication; Power demand; Protocols; Quality of service; Transmitters; Wireless communication; M2M capillary networks; cluster; cooperative MISO communication; network lifetime;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Personal Multimedia Communications (WPMC), 2014 International Symposium on
Conference_Location :
Sydney, NSW
Type :
conf
DOI :
10.1109/WPMC.2014.7014836
Filename :
7014836
Link To Document :
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