Investigations on recent power-aware opportunistic protocols in WSN

Files
Access Instruction 60.pdf(103.02 KB)
Date
2018
Authors
Fourati, Lamia
El-Kaffel, Sarrah
Mnaouer, Adel Ben
Touati, Farid
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE Computer Society
Abstract
Nowdays, Wireless Sensor Networks (WSNs), Internet of Things (IoT), Industrial IoT (IIoT), and Cognitive IoT (CIoT), have attracted the attention of many researchers and industrials in different domains due to their wide deployment in Cyber-Physical Systems and other emerging areas. However, battery lifetime extension and energy usage constraints associated with WSNs and IoT were found to be the major challenges of concern. To address these challenges various Network Lifetime (NL) maximization techniques and approaches have been proposed to extend battery longevity and to ensure continuous full operational network activity. Power-aware opportunistic transmission and data gathering schemes are among the relevant NL maximization. Accordingly, in this paper, we review and discuss various recent contributions related to opportunistic MAC and routing approaches. Furthermore, we present a comprehensive comparison between opportunistic routing mechanisms for WSN. © 2018 IEEE.
Description
This conference paper is not available at CUD collection. The version of scholarly record of this conference paper is published in 2018 Wireless Days (WD) (2018), available online at: https://doi.org/10.1109/WD.2018.8361718.
Keywords
Internet of Things (IoT) , Network Lifetime (NL) , Opportunistic mechanisms , Wake-Up schedule , Wireless Sensor Networks , Cognitive systems , Electric batteries , Embedded systems , Energy utilization , Battery life time extensions , Comprehensive comparisons , Opportunistic protocols , Opportunistic transmission , Power management (telecommunication)
Citation
Fourati, L., El-Kaffel, S., Mnaouer, A. B., & Touati, F. (2018). Investigations on recent power-aware opportunistic protocols in WSN. In IFIP Wireless Days (Vol. 2018–April, pp. 187–189). https://doi.org/10.1109/WD.2018.8361718
URI
http://dx.doi.org/10.1109/WD.2018.8361718
 http://hdl.handle.net/20.500.12519/60
DOI
Collections
Department of Computer Engineering and Computational Sciences