Minimising Energy Consumption in WSN-IoT Networks by Focusing on Quality of Service
- 1 Department of Electronics and Communication Engineering, Maharishi Markandeshwar Engineering College, Maharishi Markandeshwar (Deemed to be University), Mullana, Haryana, India
- 2 Department of Engineering, Guru Kashi University, Talwandi Sabo, Punjab, India
- 3 Department of Computer Science and Engineering, Sharda University, Greater Noida, Uttar Pradesh, India
- 4 Department of Computer Science and Engineering, Maharishi Markandeshwar Engineering College, Maharishi Markandeshwar (Deemed to be University), Mullana, Haryana, India
- 5 Department of Computer Science and Information Technology, KIET Group of Institutions, Ghaziabad, Uttar Pradesh, India
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.).
DOI: https://doi.org/10.3844/jcssp.2024.1322.1329
Copyright: © 2024 Anuradha, Tarun Gulati, Rajbhupinder Kaur, Zatin Gupta, Amit Kumar Bindal and Garima Singh. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Keywords
- Internet of Things
- Energy Consumption
- Resource Optimization
- Wireless Sensor Network
- Quality of Service