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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Juan Feng Zhonglei Wang Henkel, J. |
| Copyright Year | 2012 |
| Description | Author affiliation: Karlsruhe Institute of Technology, Chair for Embedded Sytems, Karlsruhe, Germany (Juan Feng; Zhonglei Wang; Henkel, J.) |
| Abstract | In a typical cluster-based sensor network, the data is usually gathered and fused on cluster heads. In target tracking applications, a target is often detected by sensor nodes in multiple clusters, leading to redundant data transmissions through multiple paths from the cluster heads to the data sink. To reduce such redundant data transmissions and thus to save energy, this paper proposes an adaptive data gathering strategy, called ADGS. Our novel idea is to adaptively select one node with the most residual energy and the least communication cost from the active nodes around the target. This node is responsible for gathering and aggregating the data from the other active nodes and is therefore called Aggregation Node (AN). The aggregated data is then transmitted only from the AN to the sink. Our experiments demonstrate that the proposed approach achieves a significant reduction in power consumption for data transmission and prolongs the network lifetime by 857.6% and 85.8% compared to two state-of-the-art data gathering approaches. |
| Starting Page | 000485 |
| Ending Page | 000491 |
| File Size | 1328364 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781467327121 |
| ISSN | 15301346 |
| e-ISBN | 9781467327138 |
| e-ISBN | 9781467327114 |
| DOI | 10.1109/ISCC.2012.6249343 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-07-01 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Target tracking Data communication Wireless sensor networks Neodymium Energy consumption Equations Mathematical model |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Mathematics Computer Networks and Communications Computer Science Applications Software |
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