2022 |
Aljawarneh, M.; Hamdaoui, R.; Zouinkhi, A.; Boussaid, B.; Abdelkrim, M. N. Energy efficiency approaches in Wireless Sensor Networks Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665482615, (cited By 1). Résumé | Liens | BibTeX | Étiquettes: Data handling; Digital storage; Electric batteries; Energy efficiency; Energy utilization; Machine learning, Duty-cycle; Energy consumption problems; Energy optimization; Energy-consumption; Limited energies; Machine-learning; Power; Routings; Sensing nodes, Wireless sensor networks @conference{Aljawarneh2022736,Wireless Sensor Networks (WSNs) send their data collaboratively across the network to the main base station responsible for analyzing and processing data. In WSNs, a battery with limited energy is used to drive the systems. Thus, energy consumption in WSNs is a serious problem that hinders their applications. The sensor will fail or be scrapped after consumption of the energy. This work gives an overview about the energy consumption problem in Wireless Sensor Networks (WSNs) and provides a survey on approaches used to optimize the sensors consumption on power. Different strategies used to rise the lifetime of the battery-based sensing nodes by energy minimization are analyzed and commented in this work. © 2022 IEEE. |
2018 |
Ayadi, H.; Zouinkhi, A.; Val, T.; Boussaid, B.; Abdelkrim, M. N. A multimode and multithreshold approach for energy efficiency in Internet of things systems Article de journal Dans: International Journal of Distributed Sensor Networks, vol. 14, no. 6, 2018, ISSN: 15501329, (cited By 2). Résumé | Liens | BibTeX | Étiquettes: Beacon-Enabled modes; Cluster tree; Cluster-tree topologies; energy; IEEE 802.15.4; Multiple threshold; Remaining energies; Wireless personal area networks, Communication channels (information theory); Electronic equipment; Energy efficiency; Energy utilization; IEEE Standards; Internet of things; Personal communication systems; Wireless local area networks (WLAN), Wireless sensor networks @article{Ayadi2018,The IEEE 802.15.4 is designed for wireless personal area networks. Indeed, wireless personal area network turns out to help greatly in maintaining a flexible mode of communication within limited area networks. It is in this context that our present study can be set, in which the beacon-enabled mode is enabled with cluster tree topology to reach the scope of a rather extended network, whereby the network turns out to be clustered into several subgroups. Every single subgroup is characterized by its specific duty cycle which is configured by its correspondent personal area network coordinator. Therefore, many modes are enabled in the same network. Based on a very special mathematical model developed by us for energy consumption, the personal area network coordinator detects the actual level of energy in the battery of node. Then, an interesting comparison is made with the multiple thresholds which are already set. After that, both beacon order and superframe order (the standard IEEE 802.15.4 parameters) are recomputed with reference to the remaining energy. © The Author(s) 2018. |
Publications
2022 |
Energy efficiency approaches in Wireless Sensor Networks Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665482615, (cited By 1). |
2018 |
A multimode and multithreshold approach for energy efficiency in Internet of things systems Article de journal Dans: International Journal of Distributed Sensor Networks, vol. 14, no. 6, 2018, ISSN: 15501329, (cited By 2). |