Abstract
In this paper, the focus is on optimal sensor placement and power rating selection for parameter estimation in wireless sensor networks (WSNs). We take into account the amount of energy harvested by the sensing nodes, communication link quality, and the observation accuracy at the sensor level. In particular, the aim is to reconstruct the estimation parameter with minimum error at a fusion center under a system budget constraint. To achieve this goal, a subset of sensing locations is selected from a large pool of candidate sensing locations. Furthermore, the type of sensor to be placed at those locations is selected from a given set of sensor types (e.g., sensors with different power ratings). We further investigate whether it is better to install a large number of cheap sensors, a few expensive sensors or a combination of different sensor types at the optimal locations.
Original language | English |
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Title of host publication | 25th European Signal Processing Conference, EUSIPCO 2017 |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Pages | 2423-2427 |
Number of pages | 5 |
ISBN (Electronic) | 978-0-9928626-7-1 |
DOIs | |
Publication status | Published - 2017 |
Event | EUSIPCO 2017: 25th European Signal Processing Conference - Kos Island, Greece Duration: 28 Aug 2017 → 2 Sep 2017 Conference number: 25 https://www.eusipco2017.org/ |
Conference
Conference | EUSIPCO 2017 |
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Abbreviated title | EUSIPCO |
Country | Greece |
City | Kos Island |
Period | 28/08/17 → 2/09/17 |
Internet address |
Keywords
- Wireless sensor networks
- sensor selection
- convex optimization
- energy harvesting
- estimation