Relay selection methods for maximizing the lifetime of wireless sensor networks
Relay selection methods for maximizing the lifetime of wireless sensor networks
Combined analytical and fuzzy techniques are proposed for improving the battery lifetime, performance, as well as energy efficiency of wireless sensor networks (WSNs) with the aid of efficient relay selection methods. We determine the best relay selection method by striking an appealing performance versus network lifetime trade-off. Furthermore, the beneficial regions of cooperation are determined considering asymmetric traffic scenarios, where relaying provides energy saving.
978-1-4673-5937-5
2339-2344
Engel, Fabio
3866ee62-1a8d-444e-a25a-8674902b9b3f
Abrao, Taufik
ffd40228-c33b-408c-aeb3-4998fcf182b0
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
7 April 2013
Engel, Fabio
3866ee62-1a8d-444e-a25a-8674902b9b3f
Abrao, Taufik
ffd40228-c33b-408c-aeb3-4998fcf182b0
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Engel, Fabio, Abrao, Taufik and Hanzo, Lajos
(2013)
Relay selection methods for maximizing the lifetime of wireless sensor networks.
2013 IEEE Wireless Communications and Networking Conference (WCNC 2013), , Shanghai, China.
07 - 10 Apr 2013.
.
(doi:10.1109/WCNC.2013.6554926).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Combined analytical and fuzzy techniques are proposed for improving the battery lifetime, performance, as well as energy efficiency of wireless sensor networks (WSNs) with the aid of efficient relay selection methods. We determine the best relay selection method by striking an appealing performance versus network lifetime trade-off. Furthermore, the beneficial regions of cooperation are determined considering asymmetric traffic scenarios, where relaying provides energy saving.
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p2357-abrao.pdf
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Published date: 7 April 2013
Venue - Dates:
2013 IEEE Wireless Communications and Networking Conference (WCNC 2013), , Shanghai, China, 2013-04-07 - 2013-04-10
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 351299
URI: http://eprints.soton.ac.uk/id/eprint/351299
ISBN: 978-1-4673-5937-5
PURE UUID: 89e79ca4-eb82-4981-aa4b-34c2cdba5c8a
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Date deposited: 17 Apr 2013 19:38
Last modified: 18 Mar 2024 02:35
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Contributors
Author:
Fabio Engel
Author:
Taufik Abrao
Author:
Lajos Hanzo
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