Designing Energy-Aware Adaptive Routing for Wireless Sensor Networks
Designing Energy-Aware Adaptive Routing for Wireless Sensor Networks
Many energy-aware routing protocols take into account the residual battery power in sensor nodes or/and the energy required for transmission along the path. In the deployment of an environmental sensor network, we observed that applications may also impose requirements on routing, thus placing higher demands on protocol design. We demonstrated our approach to this issue through FloodNet, a flood warning system, which uses a predictor model developed by environmental experts to make flood predictions based on readings of water level collected by a set of sensor nodes. Because the model influences the node reporting frequency, we proposed the FloodNet adaptive routing (FAR) which transmits data across nodes with ample energy and light reporting tasks whilst conserving energy for others low on battery power and heavily required by the monitoring task. As a reactive protocol, FAR is robust to topology changes due to moving obstacles and transient node failure. We evaluate the FAR performance through simulation, the result of which corresponds with its anticipated behavior and improvements.
adaptive sampling, energy awareness, environmental sensor networks
680-685
Zhou, Jing
2feacdbe-0d3b-48be-85ea-62606439e631
De Roure, David
02879140-3508-4db9-a7f4-d114421375da
2006
Zhou, Jing
2feacdbe-0d3b-48be-85ea-62606439e631
De Roure, David
02879140-3508-4db9-a7f4-d114421375da
Zhou, Jing and De Roure, David
(2006)
Designing Energy-Aware Adaptive Routing for Wireless Sensor Networks.
The 6th International Conference on ITS Telecommunications, Chengdu, China.
21 - 23 Jun 2006.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Many energy-aware routing protocols take into account the residual battery power in sensor nodes or/and the energy required for transmission along the path. In the deployment of an environmental sensor network, we observed that applications may also impose requirements on routing, thus placing higher demands on protocol design. We demonstrated our approach to this issue through FloodNet, a flood warning system, which uses a predictor model developed by environmental experts to make flood predictions based on readings of water level collected by a set of sensor nodes. Because the model influences the node reporting frequency, we proposed the FloodNet adaptive routing (FAR) which transmits data across nodes with ample energy and light reporting tasks whilst conserving energy for others low on battery power and heavily required by the monitoring task. As a reactive protocol, FAR is robust to topology changes due to moving obstacles and transient node failure. We evaluate the FAR performance through simulation, the result of which corresponds with its anticipated behavior and improvements.
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energyaware.pdf
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More information
Published date: 2006
Additional Information:
Event Dates: 21-23 June 2006
Venue - Dates:
The 6th International Conference on ITS Telecommunications, Chengdu, China, 2006-06-21 - 2006-06-23
Keywords:
adaptive sampling, energy awareness, environmental sensor networks
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 262855
URI: http://eprints.soton.ac.uk/id/eprint/262855
PURE UUID: 88b63f8b-bb15-49f4-b7ee-fdfe5af8eb1f
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Date deposited: 19 Jul 2006
Last modified: 14 Mar 2024 07:19
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Contributors
Author:
Jing Zhou
Author:
David De Roure
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