Study of Nature Inspired Power-aware Wake-Up Scheduling Mechanisms in WSN

dc.contributor.author Fourati, Lamia
dc.contributor.author El-Kaffel, Sarrah
dc.contributor.author Mnaouer, Adel Ben
dc.contributor.author Touati, Farid
dc.date.accessioned 2020-09-21T15:57:05Z
dc.date.available 2020-09-21T15:57:05Z
dc.date.copyright © 2020
dc.date.issued 2020-06
dc.description This conference paper is not available at CUD collection. The version of scholarly record of this conference paper is published in 2020 International Wireless Communications and Mobile Computing (IWCMC) (2020), available online at: https://doi.org/10.1109/IWCMC48107.2020.9148433 en_US
dc.description.abstract The Internet of Things (IoT) has the potentialities to advance the concretisation of the smart world through a wide interaction between the human society with its physical environment. This interaction is enabled by Wireless Sensor Network (WSN) used to identify and to interpret contexts. However, the IoT and WSN have intrinsically challenges, particularly Network Lifetime (NL) maximisation. In this context, researchers have developed power-aware mechanisms for WSN and IoT. These mechanisms delay the battery depletion of a sensor node and extend the NL to ensure continuous full operational network activity. Accordingly, in this paper, we review and discuss various recent contributions related to nature inspired power-aware wake-up scheduling approaches. Furthermore, we present a comprehensive taxonomy of the various nature-inspired wake-up schedule mechanisms. Besides this paper provides for the reviewed approaches usability contexts. © 2020 IEEE. en_US
dc.description.sponsorship Qatar National Research Fund Qatar Foundation en_US
dc.identifier.citation Fourati, L., El-Kaffel, S., Mnaouer, A. B., & Touati, F. (2020, June). Study of Nature Inspired Power-aware Wake-Up Scheduling Mechanisms in WSN. In 2020 International Wireless Communications and Mobile Computing (IWCMC) (pp. 2154-2159). IEEE. https://doi.org/10.1109/IWCMC48107.2020.9148433 en_US
dc.identifier.isbn 978-172813129-0
dc.identifier.uri https://doi.org/10.1109/IWCMC48107.2020.9148433
dc.identifier.uri http://hdl.handle.net/20.500.12519/238
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation Authors Affiliations : Fourati, L., Laboratory of Smart Systems Technologies Sfax Digital Research Center (CRNS), Sfax University, Tunisia; El-Kaffel, S., Laboratory of Smart Systems Technologies Sfax Digital Research Center (CRNS), Sfax University, Tunisia; Mnaouer, A.B., Canadian University, Dubai, United Arab Emirates; Touati, F., Ceng, Qatar University, Ee Dept, Qatar
dc.relation.ispartofseries 2020 International Wireless Communications and Mobile Computing (IWCMC);
dc.relation.uri https://www.ieee.org/publications/rights/rights-policies.html
dc.rights Permission to reuse abstract has been secured from Institute of Electrical and Electronics Engineers Inc.
dc.rights.holder Copyright : Copyright : © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works.
dc.subject Internet of things en_US
dc.subject Network Lifetime (NL) maximization en_US
dc.subject Wake-Up Schedule en_US
dc.subject Wireless Sensor Networks en_US
dc.subject Biomimetics en_US
dc.subject Mobile computing en_US
dc.subject Power management (telecommunication) en_US
dc.subject Scheduling en_US
dc.subject Human society en_US
dc.subject Internet of thing (IOT) en_US
dc.subject Network lifetime en_US
dc.subject Operational network en_US
dc.subject Physical environments en_US
dc.subject Power-aware en_US
dc.subject Smart world en_US
dc.subject Wake-up scheduling en_US
dc.title Study of Nature Inspired Power-aware Wake-Up Scheduling Mechanisms in WSN en_US
dc.type Conference Paper en_US
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