Joint sensor placement and power rating selection in energy harvesting wireless sensor networks

Handle URI:
http://hdl.handle.net/10754/626664
Title:
Joint sensor placement and power rating selection in energy harvesting wireless sensor networks
Authors:
Bushnaq, Osama M.; Al-Naffouri, Tareq Y. ( 0000-0003-2843-5084 ) ; Chepuri, Sundeep Prabhakar; Leus, Geert
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.
KAUST Department:
Electrical Engineering Program
Citation:
Bushnaq 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.
Publisher:
IEEE
Journal:
2017 25th European Signal Processing Conference (EUSIPCO)
KAUST Grant Number:
OSR-2015-Sensors-2700
Issue Date:
2-Nov-2017
DOI:
10.23919/eusipco.2017.8081645
Type:
Conference Paper
Sponsors:
This work is supported by the KAUST-MIT-TUD consortium under grant OSR-2015-Sensors-2700.
Additional Links:
http://ieeexplore.ieee.org/document/8081645/
Appears in Collections:
Conference Papers; Electrical Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorBushnaq, Osama M.en
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.contributor.authorChepuri, Sundeep Prabhakaren
dc.contributor.authorLeus, Geerten
dc.date.accessioned2018-01-01T12:59:19Z-
dc.date.available2018-01-01T12:59:19Z-
dc.date.issued2017-11-02en
dc.identifier.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.en
dc.identifier.doi10.23919/eusipco.2017.8081645en
dc.identifier.urihttp://hdl.handle.net/10754/626664-
dc.description.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.en
dc.description.sponsorshipThis work is supported by the KAUST-MIT-TUD consortium under grant OSR-2015-Sensors-2700.en
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/document/8081645/en
dc.rights(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en
dc.subjectWireless sensor networksen
dc.subjectsensor selectionen
dc.subjectconvex optimizationen
dc.subjectenergy harvestingen
dc.subjectestimationen
dc.titleJoint sensor placement and power rating selection in energy harvesting wireless sensor networksen
dc.typeConference Paperen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journal2017 25th European Signal Processing Conference (EUSIPCO)en
dc.eprint.versionPost-printen
dc.contributor.institutionFaculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS), Delft University of Technology (TU Delft), The Netherlandsen
kaust.authorBushnaq, Osama M.en
kaust.authorAl-Naffouri, Tareq Y.en
kaust.grant.numberOSR-2015-Sensors-2700en
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