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| Content Provider | ACM Digital Library |
|---|---|
| Author | Vetterli, Martin Zhang, Runwei Thiran, Patrick |
| Abstract | Energy efficiency of wireless sensor networks (WSNs) can be improved by moving base stations (BSs), as this scheme evenly distributes the communication load in the network. However, physically moving the BSs is complicated and costly. In this paper, we propose a new scheme: virtually moving the BSs. We deploy an excessive number of BSs and adaptively re-select a subset of active BSs so as to emulate the physical movement. Beyond achieving high energy-efficiency, this scheme obviates the difficulties associated with physically moving the BSs. The challenges are (i) that the energy efficiency of BSs should be considered as well, in addition to that of the sensor nodes and (ii) that the number of candidate subset of active BSs is exponential with the number of BSs. We show that scheduling the virtual movement of BSs is NP-hard. Then, we propose a polynomial-time algorithm that is guaranteed under mild conditions to achieve a lifetime longer than 62% of the optimal one. In practice, as verified through extensive numerical simulations, the lifetime achieved by the proposed algorithm is always very close to the optimum. |
| Starting Page | 357 |
| Ending Page | 366 |
| Page Count | 10 |
| File Format | PDF EPUB |
| ISBN | 9781450334891 |
| DOI | 10.1145/2746285.2746291 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-06-22 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Wireless sensor networks Energy efficiency Moving base stations Load balancing |
| Content Type | Text |
| Resource Type | Article |
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