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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liu Xiang Jun Luo Vasilakos, A. |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Computer Engineering, Nanyang Technological University, Singapore (Liu Xiang; Jun Luo) || Department of Electrical and Computer Engineering, National Technical University of Athens, Greece (Vasilakos, A.) |
| Abstract | As a burgeoning technique for signal processing, compressed sensing (CS) is being increasingly applied to wireless communications. However, little work is done to apply CS to multihop networking scenarios. In this paper, we investigate the application of CS to data collection in wireless sensor networks, and we aim at minimizing the network energy consumption through joint routing and compressed aggregation. We first characterize the optimal solution to this optimization problem, then we prove its NP-completeness. We further propose a mixed-integer programming formulation along with a greedy heuristic, from which both the optimal (for small scale problems) and the near-optimal (for large scale problems) aggregation trees are obtained. Our results validate the efficacy of the greedy heuristics, as well as the great improvement in energy efficiency through our joint routing and aggregation scheme. |
| Starting Page | 46 |
| Ending Page | 54 |
| File Size | 763268 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781457700941 |
| ISSN | 21555494 |
| e-ISBN | 9781457700934 |
| DOI | 10.1109/SAHCN.2011.5984932 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-27 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless sensor networks Routing Encoding Approximation algorithms Energy consumption Polynomials Correlation |
| Content Type | Text |
| Resource Type | Article |
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