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

Fourati, Lamia; El-Kaffel, Sarrah; Mnaouer, Adel Ben; Touati, Farid

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

Date

2020-06

Authors

Fourati, Lamia

El-Kaffel, Sarrah

Mnaouer, Adel Ben

Touati, Farid

Publisher

Institute of Electrical and Electronics Engineers Inc.

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.

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

Keywords

Internet of things, Network Lifetime (NL) maximization, Wake-Up Schedule, Wireless Sensor Networks, Biomimetics, Mobile computing, Power management (telecommunication), Scheduling, Human society, Internet of thing (IOT), Network lifetime, Operational network, Physical environments, Power-aware, Smart world, Wake-up scheduling

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