Minimising Energy Consumption in WSN-IoT Networks by Focusing on Quality of Service
Anuradha1, Tarun Gulati1, Rajbhupinder Kaur2, Zatin Gupta3, Amit Kumar Bindal4 & Garima Singh5 Show affiliations
- Department of Electronics and Communication Engineering, Maharishi Markandeshwar Engineering College, Maharishi Markandeshwar (Deemed to be University), Mullana, Haryana, India
- Department of Engineering, Guru Kashi University, Talwandi Sabo, Punjab, India
- Department of Computer Science and Engineering, Sharda University, Greater Noida, Uttar Pradesh, India
- Department of Computer Science and Engineering, Maharishi Markandeshwar Engineering College, Maharishi Markandeshwar (Deemed to be University), Mullana, Haryana, India
- Department of Computer Science and Information Technology, KIET Group of Institutions, Ghaziabad, Uttar Pradesh, India
Journal of Computer Science, Volume 20, Issue 10, pp. 1322–1329 · doi.org/10.3844/jcssp.2024.1322.1329
Abstract
IoT networks are low-powered networks and resource allocation and efficient utilization are critical concerns. Network resources are allocated to the intermediate nodes to perform the various operations (sense, transmit, re-transmit, data aggregation, etc.). These operations are managed by the different layers (M.A.C., routing and PHY). Each layer consumes resources W.R.T. their operations and there is a need to manage the resource consumption W.R.T. the individual layer. Due to bit error rate and signal-to-noise ratio factors, the transmission of the network may be degraded and there is a need to ensure the transmission quality under these constraints. In this study, an energy-efficient scheme for IoT networks will be proposed to resolve the discussed factors and its performance will be analyzed with LoRaWAN/SigFox using various Qos parameters (throughput, residual energy, bit error rate etc.).
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Anuradha, Gulati, T., Kaur, R., Gupta, Z., Bindal, A. K. & Singh, G. (2024). Minimising Energy Consumption in WSN-IoT Networks by Focusing on Quality of Service. Journal of Computer Science, 20(10), 1322–1329. https://doi.org/10.3844/jcssp.2024.1322.1329
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