Al-Obaidi Ameer Mohammed Jasim (Graduate student
Belgorod State National Research University, Belgorod
)
Al-Maawi Hayder MuayadAhmed (Graduate student
Belgorod State Technological University named after V.G. Shukhov, Belgorod
)
Al Janzeer Munif Zualfekar (Graduate student
Belgorod State National Research University, Belgorod
)
Zalivin Aleksandr Nikolaevich (Candidate of Technical Sciences, Associate Professor of the Department of Information and Telecommunication Systems and Technologies
Belgorod State National Research University, Belgorod
)
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This article proposes an approach to scheduling the operation of wireless sensor network nodes based on the concept of learning automata. Each sensor node of a wireless sensor network is equipped with a learning automaton so that it can autonomously select its current state, i.e. either "active" or "sleeping", in order to interact with all controlled objects with the lowest energy costs. To confirm the proposals of the author, experimental studies were carried out. As part of the research, the influence of the training parameter on the quality of the final solution and on the rate of convergence was studied.
Keywords:sensor networks, self-organizing networks, learning machine, machine learning, energy efficiency
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Read the full article …
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Citation link:
Al-Obaidi Ameer M. J., Al-Maawi H. M., Al Janzeer M. Z., Zalivin A. N. INCREASING THE ENERGY EFFICIENCY OF A WIRELESS SENSOR NETWORK BASED ON ADAPTIVE PLANNING OF THE NODE OPERATION TIME // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2023. -№06. -С. 57-60 DOI 10.37882/2223-2966.2023.06.03 |
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