A Novel Energy-Safe Algorithm for Enhancing the Battery Life for IoT Sensors’ Applications

Ahmed Zouinkhi, Aymen Flah and Lucian Mihet-Popa
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Ahmed Zouinkhi: Research Laboratory Modeling, Analysis and Control of Systems (MACS), National Engineering School of Gabès, University of Gabès, Gabès 6072, Tunisia
Aymen Flah: Processes, Energy, Environment and Electrical Systems (Code: LR18ES34), National Engineering School of Gabès, University of Gabès, Gabès 6072, Tunisia
Lucian Mihet-Popa: Faculty of Information Technology, Engineering and Economics, Østfold University College, Kobberslagerstredet 5, 1671 Fredrikstad, Norway

Energies, 2021, vol. 14, issue 20, 1-19

Abstract: Energy safe is mandatory for all isolated IoT tools, such as in long way roads, mountains, or even in smart cities. If increasing the lifetime of these tools, the rentability of the global network loop becomes more efficient. Therefore, this paper presents a new approach for saving energy inside the source nodes by supervising the state of energy inside each source node and calculating the duty cycle factor. The relationship between these parameters is based on an optimization problem formulation. In this respect, the present paper is designed to propose a new approach that deals with increasing the lifetime of the wireless sensor network (WSN)-attached nodes, as fixed in the application. The newly devised design is based on implementing the IEEE 802.15.4 standard beacon-enabled mode, involving a cluster tree topology. Accordingly, every subgroup is allotted to apply a specifically different duty cycle, depending on the battery’s remaining energy level, which contributes to creating a wide range of functional modes. Hence, various thresholds are defined. Simulation results prove the efficiency of the proposed approach and show the energetic benefit. The proposed flowchart has minimized the consumed energy for the WSN, which improves the battery lifetime and enhances the IoT application’s robustness. Simulations and experiments have been carried out under different conditions and the results prove that the proposed method is a viable solution.

Keywords: energy optimization; IoT; IEEE 802.15.4; smart city; battery life; communication; algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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