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An Adaptive-reliability Cyber-physical Transport Protocol for Spatio-temporal Data
Ahmadi, Hossein; Abdelzaher, Tarek F.
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https://hdl.handle.net/2142/13334
Description
- Title
- An Adaptive-reliability Cyber-physical Transport Protocol for Spatio-temporal Data
- Author(s)
- Ahmadi, Hossein
- Abdelzaher, Tarek F.
- Issue Date
- 2009-07-30
- Keyword(s)
- Wireless Sensor Networks
- Cyber-physical protocol
- Reliable Transport
- Abstract
- In this paper, we propose a new transport protocol for data collection in sensor networks that monitor physical phenomena. In a network with variable channel condition, this protocol adapts transmission reliability based on the importance of transmitted spatio-temporal data to the reconstruction of the phenomenon. Data whose omission generates a higher estimation error are transmitted more reliably. The protocol aggregates data from nodes to the base station providing a constant expected estimation error while significantly reducing the energy consumption and communication overhead compared with other approaches to reliable communication. Moreover, our protocol is easy to implement on current motes. To the best of our knowledge, this is the first transport layer protocol, that incorporates predictive models, to be implemented on motes. We perform extensive experiments on MicaZ motes using LiteOS to compare the performance of our protocol against reliable transport protocols. Our experimental results show that our protocol can keep the estimation error at very small levels while saving orders of magnitude in consumed energy.
- Type of Resource
- text
- Language
- en
- Permalink
- http://hdl.handle.net/2142/13334
- Copyright and License Information
- You are granted permission for the non-commercial reproduction, distribution, display, and performance of this technical report in any format, BUT this permission is only for a period of 45 (forty-five) days from the most recent time that you verified that this technical report is still available from the University of Illinois at Urbana-Champaign Computer Science Department under terms that include this permission. All other rights are reserved by the author(s).
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