Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/6435
Title: On exploiting spatial correlation for energy harvesting wireless sensor networks
Authors: Al-Qamaji, Ali
Atakan, Barış
Keywords: Wireless sensor networks
Spatial correlation
Energy efficiency
Energy harvesting
Distortion (waves)
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Al-Qamaji, A., and Atakan, B. (2017, 15-18 May). On exploiting spatial correlation for energy harvesting wireless sensor networks. Paper presented at the 25th Signal Processing and Communications Applications Conference. doi:10.1109/SIU.2017.7960620
Abstract: Wireless Sensor Network (WSN) is a set of inexpensive densely deployed sensor nodes with limited functionalities and scarcity in energies. The observations of sensors are forwarded directly to the Base Station (BS). In densely deployed sensors, sensing data are likely to be highly correlated in space domain, which produces unfavorable redundant readings and wasting in energy. In this paper, we propose an Event Distortion-Based Node Selection (EDNS) algorithm which exploits spatial correlation for reducing inessential sensor nodes that have correlated readings for improving Energy-Efficiency (EE) with acceptable distortion level. Furthermore, we derive a theoretical framework of distortion function for single-hop communication model to observe the advantages from energy harvesting to the accuracy level. Furthermore, the trade-off between energy consumption and distortion level is investigated.
Description: 25th Signal Processing and Communications Applications Conference, SIU 2017; Antalya; Turkey; 15 May 2017 through 18 May 2017
URI: http://doi.org/10.1109/SIU.2017.7960620
http://hdl.handle.net/11147/6435
ISBN: 9781509064946
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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