Joint sensor placement and power rating selection in energy harvesting wireless sensor networks
KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
KAUST Grant NumberOSR-2015-Sensors-2700
Online Publication Date2017-11-02
Print Publication Date2017-08
Permanent link to this recordhttp://hdl.handle.net/10754/626664
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AbstractIn 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.
CitationBushnaq OM, Al-Naffouri TY, Chepuri SP, Leus G (2017) Joint sensor placement and power rating selection in energy harvesting wireless sensor networks. 2017 25th European Signal Processing Conference (EUSIPCO). Available: http://dx.doi.org/10.23919/eusipco.2017.8081645.
SponsorsThis work is supported by the KAUST-MIT-TUD consortium under grant OSR-2015-Sensors-2700.