Abstract
Recent research shows that significant energy saving can be achieved in wireless sensor networks with a mobile base station that collects data from sensor nodes via short-range communications. However, a major performance bottleneck of such WSNs is the significantly increased latency in data collection due to the low movement speed of mobile base stations. To address this issue, we propose a rendezvous-based data collection approach in which a subset of nodes serve as the rendezvous points that buffer and aggregate data originated from sources and transfer to the base station when it arrives. This approach combines the advantages of controlled mobility and in-network data caching and can achieve a desirable balance between network energy saving and data collection delay. We propose two efficient rendezvous design algorithms with provable performance bounds for mobile base stations with variable and fixed tracks, respectively. The effectiveness of our approach is validated through both theoretical analysis and extensive simulations.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 9th ACM International Symposium on Mobile Ad Hoc Networking and Computing 2008, MobiHoc'08 |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 231-239 |
| Number of pages | 9 |
| ISBN (Print) | 9781605580739 |
| DOIs | |
| State | Published - 2008 |
| Externally published | Yes |
| Event | 9th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2008 - Hong Kong SAR, China Duration: 26 May 2008 → 30 May 2008 |
Publication series
| Name | Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc) |
|---|
Conference
| Conference | 9th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2008 |
|---|---|
| Country/Territory | China |
| City | Hong Kong SAR |
| Period | 26/05/08 → 30/05/08 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Controlled mobility
- Energy efficiency
- Real-time systems
- Sensor networks
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