State-Based Energy Calculation Scheme for Internet of Things Networks

The Internet of Things (IoT) is an emerging and groundbreaking technology in which devices, individuals, and processes seamlessly exchange substantial volume of data without causing disruption. This paradigm offers a wide range of services like healthcare, transportation, education, and smart home o...

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Bibliographic Details
Published in:IEEE access 2023, Vol.11, p.106967-106979
Main Authors: Anwar, Raja Waseem, Outay, Fatma, Qureshi, Kashif Naseer, Iqbal, Saleem, Ghafoor, Kayhan Zrar
Format: Article
Language:English
Subjects:
Costs
Delays
Depletion
Energy
Energy efficiency
Energy levels
Energy states
Energy utilization
Internet of Things
IoT
lifetime
Mathematical analysis
Nodes
Reliability
Smart buildings
throughput
Wireless sensor networks
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Summary:The Internet of Things (IoT) is an emerging and groundbreaking technology in which devices, individuals, and processes seamlessly exchange substantial volume of data without causing disruption. This paradigm offers a wide range of services like healthcare, transportation, education, and smart home operations. However, owing to factors like deployment unpredictability, battery-operated nature, and the intricate nature of IoT networks, the energy levels of these diminutive sensor nodes are rapidly depleted, significantly curtailing the network's overall lifespan. Moreover, energy utilization and reputation assessment are pivotal in establishing dependability, reliability, and collaboration among sensor nodes, thereby profoundly influencing the decision-making framework. In response to these challenges, this paper introduces a State-based Energy Calculation Scheme (SECS) that leverages nodes' statuses and the functions encompassing direct and indirect energy utilization. The scheme identifies energy-depleted nodes, segregating them within the context of end-to-end reliable path selection, all while minimizing control broadcasts. Empirical results underscore the enhanced performance of the proposed scheme, as evidenced by augmented network throughput, elevated packet delivery ratios, diminished node energy utilization, and truncated end-to-end delays.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2023.3318005