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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yao Zhao Yan Chen Ratnasamy, S. |
| Copyright Year | 2008 |
| Description | Author affiliation: Northwestern Univ., Evanston, IL (Yao Zhao; Yan Chen) |
| Abstract | Several new sensor network applications build on scalable, energy-aware data-centric storage. Data-centric storage is typically achieved by hashing a high-level data name to a well-known routable node address. Despite significant work on any-to-any routing for sensor networks, most schemes do not provide a node address space that is amenable to the needs of data-centric storage. Our work focuses on the problem of designing a routing primitive suitable for data-centric storage that also meets typical sensor network goals of scalability, energy-efficiency and load-balance. In this paper, we present a new hierarchical Voronoi graph based routing algorithm (HVGR) that simultaneously achieves good scalability, efficiency in routing, and load balance in both routing and data storage. The region oriented routing scheme avoids overloading cluster headers by "short-cutting" routes before they actually hit cluster headers. The storage load balancing algorithm achieves uniform distribution of storage load. |
| Starting Page | 560 |
| Ending Page | 568 |
| File Size | 204158 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781424417773 |
| DOI | 10.1109/SAHCN.2008.73 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-06-16 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Routing Energy storage Scalability Load management Distributed control Clustering algorithms Sensor systems Global Positioning System Energy efficiency Memory |
| Content Type | Text |
| Resource Type | Article |
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