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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jing Zhou De Roure, D. |
| Copyright Year | 2006 |
| Description | Author affiliation: Sch. of Electron. & Comput. Sci., Southampton Univ. (Jing Zhou; De Roure, D.) |
| 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 |
| Starting Page | 680 |
| Ending Page | 685 |
| File Size | 8564810 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780395867 |
| DOI | 10.1109/ITST.2006.288994 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-21 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | environmental sensor networks Adaptive sampling Predictive models Water conservation Sensor systems Batteries Floods Power system modeling Wireless sensor networks energy awareness Alarm systems Frequency Routing protocols |
| Content Type | Text |
| Resource Type | Article |
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