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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