EERS: Energy-Efficient Reference Node Selection Algorithm for Synchronization in Industrial Wireless Sensor Networks
- Authors
- Elsharief, Mahmoud; Abd El-Gawad, Mohamed A.; Ko, Haneul; Pack, Sangheon
- Issue Date
- 8월-2020
- Publisher
- MDPI
- Keywords
- energy-efficiency; industrial wireless sensor networks; reference node selection; time synchronization
- Citation
- SENSORS, v.20, no.15
- Indexed
- SCIE
SCOPUS
- Journal Title
- SENSORS
- Volume
- 20
- Number
- 15
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/54281
- DOI
- 10.3390/s20154095
- ISSN
- 1424-8220
- Abstract
- Time synchronization is an essential issue in industrial wireless sensor networks (IWSNs). It assists perfect coordinated communications among the sensor nodes to preserve battery power. Generally, time synchronization in IWSNs has two major aspects of energy consumption and accuracy. In the literature, the energy consumption has not received much attention in contrast to the accuracy. In this paper, focusing on the energy consumption aspect, we introduce an energy-efficient reference node selection (EERS) algorithm for time synchronization in IWSNs. It selects and schedules a minimal sequence of connected reference nodes that are responsible for spreading timing messages. EERS achieves energy consumption synchronization by reducing the number of transmitted messages among the sensor nodes. To evaluate the performance of EERS, we conducted extensive experiments with Arduino Nano RF sensors and revealed that EERS achieves considerably fewer messages than previous techniques, robust time synchronization (R-Sync), fast scheduling and accurate drift compensation for time synchronization (FADS), and low power scheduling for time synchronization protocols (LPSS). In addition, simulation results for a large sensor network of 450 nodes demonstrate that EERS reduces the whole number of transmitted messages by 52%, 30%, and 13% compared to R-Sync, FADS, and LPSS, respectively.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - Graduate School > Department of Computer and Information Science > 1. Journal Articles
- College of Engineering > School of Electrical Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.