Study of Nature Inspired Power-aware Wake-Up Scheduling Mechanisms in WSN
Author | Fourati L. |
Author | El-Kaffel S. |
Author | Mnaouer A.B. |
Author | Touati F. |
Available date | 2022-05-22T11:03:04Z |
Publication Date | 2020 |
Publication Name | 2020 International Wireless Communications and Mobile Computing, IWCMC 2020 |
Resource | Scopus |
Identifier | http://dx.doi.org/10.1109/IWCMC48107.2020.9148433 |
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. |
Language | en |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Subject | Biomimetics Mobile computing Power management (telecommunication) Scheduling Sensor nodes Wakes Human society Internet of thing (IOT) Network lifetime Operational network Physical environments Power-aware Smart world Wake-up scheduling Internet of things |
Type | Conference Paper |
Pagination | 2154-2159 |
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Electrical Engineering [2649 items ]