TY - GEN
T1 - Joint sensor placement and power rating selection in energy harvesting wireless sensor networks
AU - Bushnaq, Osama
AU - Al-Naffouri, Tareq Y.
AU - Chepuri, Sundeep Prabhakar
AU - Leus, Geert
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): OSR-2015-Sensors-2700
Acknowledgements: This work is supported by the KAUST-MIT-TUD consortium under grant OSR-2015-Sensors-2700.
PY - 2017/11/2
Y1 - 2017/11/2
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/626664
UR - http://ieeexplore.ieee.org/document/8081645/
UR - http://www.scopus.com/inward/record.url?scp=85041470089&partnerID=8YFLogxK
U2 - 10.23919/eusipco.2017.8081645
DO - 10.23919/eusipco.2017.8081645
M3 - Conference contribution
SN - 9780992862671
SP - 2423
EP - 2427
BT - 2017 25th European Signal Processing Conference (EUSIPCO)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -