International Journal of Computer Networks and Applications

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Extending the Energy Efficiency of Nodes in an Internet of Things (IoT) System via Robust Clustering Techniques


Affiliations
1 Department of Computer Science, Applied College, University of Tabuk, Tabuk, Saudi Arabia
 

Wireless sensor networks (WSNs) are useful in many industries due to their capacity to perceive their surroundings and relay that information to base stations. Improving energy efficiency in wireless sensor networks while still meeting Quality of Service (QoS) requirements like low latency and data security is no easy feat. There have been numerous suggestions for making networks more energy efficient without reducing service quality, but only a few have been proven to work. This study recognizes the paucity of prior thorough work in the area and sets out to remedy that. The primary objectives of this research into wireless sensor networks are to optimize energy consumption, reduce latency, and boost service quality. Since these networks are so pervasive in cutting-edge industries like healthcare, defence, and navigation, accurately predicting their energy efficiency and data transfer rates is essential. This study uses a rigorous strategy to isolate and address the underlying causes of energy efficiency and increased delay. Security and the average transmission latency are still taken into account. For this reason, the proposed approach protocol, which enhances the energy efficiency gains by combining the EESAA protocol for effective clustering with the proposed approach Protocol. The proposed algorithm provides high efficiency in terms of energy consumption, which results in increased lifetime of the nodes comprising the wireless sensor network.

Keywords

Wireless Sensor Network (WSN), Lifetime Maximization, Internet of Things (IoT), Survivability, Quality of Service (QoS), Whale Optimization, LEACH, SEP, H-LEACH, MAMC, PEGASIS.
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  • Extending the Energy Efficiency of Nodes in an Internet of Things (IoT) System via Robust Clustering Techniques

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Authors

Abdullah A. Al-Atawi
Department of Computer Science, Applied College, University of Tabuk, Tabuk, Saudi Arabia

Abstract


Wireless sensor networks (WSNs) are useful in many industries due to their capacity to perceive their surroundings and relay that information to base stations. Improving energy efficiency in wireless sensor networks while still meeting Quality of Service (QoS) requirements like low latency and data security is no easy feat. There have been numerous suggestions for making networks more energy efficient without reducing service quality, but only a few have been proven to work. This study recognizes the paucity of prior thorough work in the area and sets out to remedy that. The primary objectives of this research into wireless sensor networks are to optimize energy consumption, reduce latency, and boost service quality. Since these networks are so pervasive in cutting-edge industries like healthcare, defence, and navigation, accurately predicting their energy efficiency and data transfer rates is essential. This study uses a rigorous strategy to isolate and address the underlying causes of energy efficiency and increased delay. Security and the average transmission latency are still taken into account. For this reason, the proposed approach protocol, which enhances the energy efficiency gains by combining the EESAA protocol for effective clustering with the proposed approach Protocol. The proposed algorithm provides high efficiency in terms of energy consumption, which results in increased lifetime of the nodes comprising the wireless sensor network.

Keywords


Wireless Sensor Network (WSN), Lifetime Maximization, Internet of Things (IoT), Survivability, Quality of Service (QoS), Whale Optimization, LEACH, SEP, H-LEACH, MAMC, PEGASIS.

References





DOI: https://doi.org/10.22247/ijcna%2F2023%2F223685