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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Truong, T.T. Brown, K.N. Sreenan, C.J. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Comput. Sci., Univ. Coll. Cork, Cork, Ireland (Truong, T.T.; Brown, K.N.; Sreenan, C.J.) |
| Abstract | Wireless Sensor Networks in volatile environments may suffer damage, and connectivity must be restored. The repairing agent must discover surviving nodes and damage to the physical and radio environment as it moves around the sensor field to execute the repair. We compare two approaches, one which re-generates a full plan whenever it discovers new knowledge, and a second which attempts to minimise the required number of new radio nodes. We apply each approach with two different heuristics, one which attempts to minimise the cost of new radio nodes, and one which aims to minimise the travel distance. We conduct extensive simulation-based experiments, varying key parameters, including the level of damage suffered, and comparing directly with the published state-of-the-art. We quantify the relative performance of the different algorithms in achieving their objectives, and also measure the execution times to assess the impact on being able to make autonomous decisions in reasonable time. |
| Starting Page | 450 |
| Ending Page | 458 |
| File Size | 729752 |
| Page Count | 9 |
| File Format | |
| ISSN | 07421303 |
| e-ISBN | 9781479905379 |
| DOI | 10.1109/LCN.2013.6761278 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-10-21 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Maintenance engineering Radio link Planning Robot sensing systems Probes Runtime Barium |
| Content Type | Text |
| Resource Type | Article |
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