Joint Sensor Placement and Power Rating Selection in Energy Harvesting Wireless Sensor Networks

Osama M. Bushnaq, Tareq Y. Al-Naffouri, Sundeep Prabhakar Chepuri, Geert Leus

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

3 Citations (Scopus)

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 languageEnglish
Title of host publication25th European Signal Processing Conference, EUSIPCO 2017
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages2423-2427
Number of pages5
ISBN (Electronic)978-0-9928626-7-1
DOIs
Publication statusPublished - 2017
EventEUSIPCO 2017: 25th European Signal Processing Conference - Kos Island, Greece
Duration: 28 Aug 20172 Sep 2017
Conference number: 25
https://www.eusipco2017.org/

Conference

ConferenceEUSIPCO 2017
Abbreviated titleEUSIPCO
CountryGreece
CityKos Island
Period28/08/172/09/17
Internet address

Keywords

  • Wireless sensor networks
  • sensor selection
  • convex optimization
  • energy harvesting
  • estimation

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