Stochastic Modeling and Analysis of the Energy Consumption of Wireless Sensor Networks



Internet of things, wireless sensor networks, energy consumption, stochastic model


Energy management in Wireless Sensor Networks (WSN) is a challenging problem that calls for careful modeling and analysis. It is shown in the paper that the problem can be more precisely characterized by calculating the probability distribution function (PDF) and the maximum and minimum values of the energy consumed by the network. As a result, this paper provides a novel approach for modeling and assessing the probability range of energy expended by WSN nodes. The steps that were taken for developing this project were: (1) an initial investigation into the power consumption of WSN devices; (2) the proposal of a stochastic model for consumption; (3) the collection of data using the LoRaWANSim simulator; and (4) the interpretation and comparison of simulation with theoretical results. The examination of the suggested method with a discrete-event simulator and the resulting mathematical expressions provide a deeper insight into the energy consumption patterns of WSNs.


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Author Biographies

Felipe Correia, Universidade Federal da Bahia

Ph.D. student in Electrical Engineering at the Federal University of Bahia. Master in Electrical Engineering from the Federal University of Campina Grande - UFCG. Bachelor in Computer Engineering from the Federal University of Vale do São Francisco - UNIVASF. Previously, he was a full-time Professor at Faculdade Paraíso do Ceará from 2013 to 2014. Currently, professor of the Computer Science course at IFSERTÃO-PE. He has conducted research projects in Microcontrolled Systems, Embedded Internet, Wireless Sensor Networks, and Software Development. His areas of interest are Internet of Things, Wireless Sensor Networks, Software Development, Communications, and Precision agriculture.

Marcelo Alencar, Universidade Federal do Rio Grande do Norte

Marcelo S. Alencar received his Bachelor’s Degree in Electrical Engineering from the Federal University of Pernambuco (UFPE), Brazil, 1980, his Master’s Degree from the Federal University of Paraiba (UFPB), Brazil, 1988, and his Ph.D. from the University of Waterloo, Canada, 1994. Marcelo S. Alencar is an IEEE Senior Member. For 18 years, he worked as Full Professor for the Federal University of Paraiba. From 2003 to 2017, he was Chair Professor at the Department of Electrical Engineering, Federal University of Campina Grande, Brazil. He was Visiting Professor at the Federal University of Bahia and also at SENAI CIMATEC, Salvador. He is now with the Department of Telecommunications Engineering, Federal University of Rio Grande do Norte. Previously, he worked for the State University of Santa Catarina (UDESC). He also worked for Embratel and the University of Toronto, as Visiting Professor. He is the founder and President of the Institute for Advanced Studies in Communications (Iecom), published 30 books, more than 100 articles in journals and more than 500 papers in conferences.

Karcius Assis, Universidade Federal da Bahia

He graduated in Electrical Engineering from the Federal University of Paraíba (1997), currently UFCG, a master's degree in Electrical Engineering from the Federal University of Espírito Santo (2000), and a doctorate in Electrical Engineering from the State University of Campinas (2004). He was a postdoctoral fellow at the University of Bristol-UK from 02/2015 to 01/2016. He was Visiting Fellow at the University of Essex-UK in March 2018. He was an adjunct professor at the Federal University of ABC and is currently an associate professor at the Polytechnic School of the Federal University of Bahia, Department of Electrical and Computer Engineering. He has experience in Electrical and Computer Engineering, with an emphasis on Telecommunications Systems, Computer Networks, Computer Systems and Optimization; acting mainly in the following subjects: telecommunications, optical networks, network planning and optimization.


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How to Cite

Correia, F., Alencar, M., & Assis, K. (2023). Stochastic Modeling and Analysis of the Energy Consumption of Wireless Sensor Networks. IEEE Latin America Transactions, 21(3), 434–440. Retrieved from