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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Avin, C. Brito, C. |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of Comput. Sci., California Univ., Los Angeles, CA, USA (Avin, C.; Brito, C.) |
| Abstract | Many existing systems for sensor networks rely on state information stored in the nodes for proper operation (e.g., pointers to parent in a spanning tree, routing information, etc). In dynamic environments, such systems must adopt failure recovery mechanisms, which significantly increase the complexity and impact the overall performance. We investigate alternative schemes for query processing based on random walk techniques. The robustness of this approach under dynamics follows from the simplicity of the process, which only requires the connectivity of the neighborhood to keep moving. In addition we show that visiting a constant fraction of sensor network, say 80%, using a random walk is efficient in number of messages and sufficient for answering many interesting queries with high quality. Finally, the natural behavior of a random walk, also provide the important properties of load-balancing and scalability. |
| Sponsorship | ACM IEEE |
| Starting Page | 277 |
| Ending Page | 286 |
| File Size | 1044454 |
| Page Count | 10 |
| File Format | |
| ISBN | 1581138466 |
| DOI | 10.1109/IPSN.2004.239084 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-04-27 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | ACM, Inc. |
| Subject Keyword | Computer science Intelligent networks Query processing Sensor phenomena and characterization Permission Routing Robustness Sensor systems Computer networks Distributed computing |
| Content Type | Text |
| Resource Type | Article |
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