Publications

@conference{Aljawarneh2022736,

title = {Energy efficiency approaches in Wireless Sensor Networks},

author = {M. Aljawarneh and R. Hamdaoui and A. Zouinkhi and B. Boussaid and M. N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147252366\&doi=10.1109%2fSTA56120.2022.10019187\&partnerID=40\&md5=900b9140d929d3061443b0b0103b5e77},

doi = {10.1109/STA56120.2022.10019187},

isbn = {9781665482615},

year  = {2022},

date = {2022-01-01},

journal = {2022 IEEE 21st International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2022 - Proceedings},

pages = {736-741},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {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.},

note = {cited By 1},

keywords = {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},

pubstate = {published},

tppubtype = {conference}

}