Iterative Decoding for Redistributing Energy Consumption in Wireless Sensor Networks
Iterative Decoding for Redistributing Energy Consumption in Wireless Sensor Networks
In this paper, we propose a method for desirably redistributing a wireless sensor network's energy consumption from its sensor nodes (which may have scarce energy resources obtained through energy harvesting, for example) to its central node (which often has an abundant energy resource, such as the mains). At the cost of increasing the central node's decoding complexity, our method facilitates (1) a significant reduction in the number of times the sensor nodes are required to retransmit data owing to transmission errors and/or (2) a reduction of up to 3.99 dB in the sensor node's total transmit energy consumption. We show that our approach can reduce the overall energy consumption of transmitting sensor nodes by more than 20% in practice.
Wireless Sensor Networks, Iterative Decoding, Rate-1 Coding, Spreading, Energy, Complexity
Maunder, R. G.
76099323-7d58-4732-a98f-22a662ccba6c
Weddell, A. S.
3d8c4d63-19b1-4072-a779-84d487fd6f03
Merrett, G. V.
89b3a696-41de-44c3-89aa-b0aa29f54020
Al-Hashimi, B. M.
0b29c671-a6d2-459c-af68-c4614dce3b5d
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
3 August 2008
Maunder, R. G.
76099323-7d58-4732-a98f-22a662ccba6c
Weddell, A. S.
3d8c4d63-19b1-4072-a779-84d487fd6f03
Merrett, G. V.
89b3a696-41de-44c3-89aa-b0aa29f54020
Al-Hashimi, B. M.
0b29c671-a6d2-459c-af68-c4614dce3b5d
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Maunder, R. G., Weddell, A. S., Merrett, G. V., Al-Hashimi, B. M. and Hanzo, L.
(2008)
Iterative Decoding for Redistributing Energy Consumption in Wireless Sensor Networks.
International Conference on Computer Communications and Networks, St. Thomas, U.S. Virgin Islands.
03 - 07 Aug 2008.
(doi:10.1109/ICCCN.2008.ECP.36).
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Conference or Workshop Item
(Paper)
Abstract
In this paper, we propose a method for desirably redistributing a wireless sensor network's energy consumption from its sensor nodes (which may have scarce energy resources obtained through energy harvesting, for example) to its central node (which often has an abundant energy resource, such as the mains). At the cost of increasing the central node's decoding complexity, our method facilitates (1) a significant reduction in the number of times the sensor nodes are required to retransmit data owing to transmission errors and/or (2) a reduction of up to 3.99 dB in the sensor node's total transmit energy consumption. We show that our approach can reduce the overall energy consumption of transmitting sensor nodes by more than 20% in practice.
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Published date: 3 August 2008
Additional Information:
Event Dates: 3-7 August 2008
Venue - Dates:
International Conference on Computer Communications and Networks, St. Thomas, U.S. Virgin Islands, 2008-08-03 - 2008-08-07
Keywords:
Wireless Sensor Networks, Iterative Decoding, Rate-1 Coding, Spreading, Energy, Complexity
Organisations:
Electronic & Software Systems, EEE, Southampton Wireless Group
Identifiers
Local EPrints ID: 265724
URI: http://eprints.soton.ac.uk/id/eprint/265724
PURE UUID: 44911db7-0c94-4c86-8945-7c9255727c3a
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Date deposited: 16 May 2008 03:32
Last modified: 18 Mar 2024 03:09
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