Delay-Conscious Service Quality Constraint in IoT Sensor Networks for Smart Farming
- 1 Department of CSE, M. M. Engineering College, M. M. D. U. Mullana (133203), Ambala, India
- 2 School of Computing Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India
Abstract
The Internet of Things (IoT) offers different services for the agriculture industry, such as monitoring and analysing real-time data related to current weather conditions, water level, irrigation requirements, growth of plant disease and health status/temperature/humidity, etc.,). The performance of IoT networks may vary due to environmental conditions and operational areas (rural area/urban area/underwater). These constraints may degrade the transmission quality due to delay factors because the signal propagation may vary in these areas. IoT sensors are low-powered devices designed for long-distance communication. The transmission rate may be degraded due to the delay factor, which may cause packet loss/ congestion/collision, thus resulting in unnecessary re-transmission over the cost of network resources. To resolve the transmission delay issue, there is a need to develop a solution to ensure reliable transmission under the constraint of delay, and this study will introduce a delay-aware scheme to manage the uncertainty over IoT networks in rural and urban areas. Its performance will be analysed using different quality of service constraints (i.e., throughput/delay/residual Energy/Energy Consumption, etc.) using two different IoT-based communication standards, i.e., LoRaWAN and SigFox, with IoT sensor density variation from 100-400 IoT sensors only. For simulation, an NS-3 network simulator will be utilised.
DOI: https://doi.org/10.3844/jcssp.2023.1029.1049
Copyright: © 2023 Zatin Gupta , Zatin Gupta and Amit Kumar Bindal. 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
- IoT
- Sensors
- LoRaWAN
- Delay
- Quality of Service
- Smart Farming