@article {10.3844/jcssp.2023.1029.1049,
article_type = {journal},
title = {Delay-Conscious Service Quality Constraint in IoT Sensor Networks for Smart Farming},
author = {Gupta , Zatin and Gupta, Zatin and Bindal, Amit Kumar},
volume = {19},
number = {8},
year = {2023},
month = {Aug},
pages = {1029-1049},
doi = {10.3844/jcssp.2023.1029.1049},
url = {https://thescipub.com/abstract/jcssp.2023.1029.1049},
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.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}