The University of Southampton
University of Southampton Institutional Repository

Designing Energy-Aware Adaptive Routing for Wireless Sensor Networks

Zhou, Jing and De Roure, David (2006) Designing Energy-Aware Adaptive Routing for Wireless Sensor Networks At The 6th International Conference on ITS Telecommunications, China. 21 - 23 Jun 2006. , pp. 680-685.

Record type: Conference or Workshop Item (Paper)


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.

PDF energyaware.pdf - Other
Download (177kB)

More information

Published date: 2006
Additional Information: Event Dates: 21-23 June 2006
Venue - Dates: The 6th International Conference on ITS Telecommunications, China, 2006-06-21 - 2006-06-23
Keywords: adaptive sampling, energy awareness, environmental sensor networks
Organisations: Web & Internet Science


Local EPrints ID: 262855
PURE UUID: 88b63f8b-bb15-49f4-b7ee-fdfe5af8eb1f
ORCID for David De Roure: ORCID iD

Catalogue record

Date deposited: 19 Jul 2006
Last modified: 18 Jul 2017 08:47

Export record


Author: Jing Zhou
Author: David De Roure ORCID iD

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.