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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Bo Yu Jianzhong Li |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Computer Science and Technology, Harbin Institute of Technology, China (Bo Yu; Jianzhong Li) |
| Abstract | Data aggregation is an essential operation in wireless sensor networks and aggregation time is critical in many sensor network applications. This paper focuses on the minimum-time aggregation scheduling problem in multi-sink sensor networks (MS-MTAS problem). To the best of our knowledge, this is the first work on the MS-MTAS problem, which is NP-hard. In this paper, we first present a lower bound for MS-MTAS. Then, we design two approximation algorithms for MS-MTAS based on the maximal independent sets. The upper bounds of the aggregation time are, respectively, (min{26k−2, $2Δ\})(max^{k}\}−l)+2Δ$ and 23 $max^{k}$ {R}+2Δ−23, where k is the number of sinks, A is the maximum vertex degree of the network graph and R is the radius of the induced subgraph G[V(T)], with respect to sink S. Here T refers to the tree generated by the corresponding algorithm and V(T) is the vertex set of T. We prove that the second algorithm is a nearly constant approximation. This demonstrates that nearly constant approximation can be achieved for MS-MTAS, which is the same as MTAS. Both algorithms are implemented by simulation and the simulation results verify the effectiveness of the proposed algorithms. |
| Starting Page | 422 |
| Ending Page | 430 |
| File Size | 477737 |
| Page Count | 9 |
| File Format | |
| ISBN | 9781457700941 |
| ISSN | 21555494 |
| e-ISBN | 9781457700934 |
| DOI | 10.1109/SAHCN.2011.5984926 |
| 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 | Schedules Scheduling Vegetation Approximation algorithms Connectors Receivers Scheduling algorithm |
| Content Type | Text |
| Resource Type | Article |
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