Browsing by Author "El-Kaffel, Sarrah"
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Item Investigations on recent power-aware opportunistic protocols in WSN(IEEE Computer Society, 2018) Fourati, Lamia; El-Kaffel, Sarrah; Mnaouer, Adel Ben; Touati, FaridNowdays, 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.Item Study of Nature Inspired Power-aware Wake-Up Scheduling Mechanisms in WSN(Institute of Electrical and Electronics Engineers Inc., 2020-06) Fourati, Lamia; El-Kaffel, Sarrah; Mnaouer, Adel Ben; Touati, FaridThe 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.