- Title
- Efficient spatio-temporal sensor deployments: A smart building application
- Creator
- Linh, Nguyen; Guoqiang, Hu; Spanos, Costas J.
- Date
- 2017
- Type
- Text; Conference proceedings
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/183829
- Identifier
- vital:16383
- Identifier
-
https://doi.org/10.1109/ICCA.2017.8003130
- Identifier
- ISBN:978-1-5386-2679-5
- Abstract
- The paper addresses the problem of efficiently deploying sensors in spatial environments, e.g. smart buildings, for the purpose of monitoring environmental phenomena. By modelling the environmental fields using spatio-temporal Gaussian processes, a new and efficient optimality criterion of minimizing prediction uncertainties is proposed to find the best sensor locations. Though the environmental processes spatially and temporally vary, the proposed approach of choosing sensor positions is not affected by time variations, which significantly reduces computational complexity of the optimization problem. The sensor deployment problem is then solved by a practically and feasibly polynomial algorithm, where its solutions are guaranteed. The proposed approaches were implemented in a real tested space in a university building, where the obtained results are highly promising.
- Publisher
- IEEE
- Relation
- 13th IEEE International Conference on Control & Automation (ICCA); Ohrid, Macedonia; 03-06 July, 2017 p. 612-617
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Subject
- Covariance matrices; Greedy algorithms; Monitoring; Smart buildings; Wireless communication; Wireless sensor networks
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