Abstract
With the rapid proliferation of Internet of Things (IoT) devices, ensuring reliable and efficient communication has become imperative. Quality-of-Service (QoS) in IoT networks plays a crucial role in guaranteeing the desired level of performance. This research paper provides a comprehensive review of QoS routing in IoT and investigates the application of bio-inspired optimization algorithms to address the associated challenges. The literature review covers traditional routing algorithms, their limitations, and the potential of bio-inspired optimization algorithms. The methodology involves a careful selection of bio-inspired algorithms, data collection from relevant research papers, and the development of a comparative analysis framework. Results and discussion focus on the performance of selected algorithms, providing insights and implications for QoS improvement in IoT networks.
Keywords
Internet of Things
Quality-of-Service
QoS Routing
Bio-Inspired Optimization Algorithms
Literature Review
Comparative Analysis
IoT Networks
Routing Algorithms
Optimization
Authors
How to Cite this Article
R.Yanitha, Dr.M.Logambal (2023).
"REVIEW ON BIO-INSPIRED OPTIMIZATION ALGORITHMS FOR ENHANCING QUALITY-OF-SERVICE (QOS) ROUTING IN THE INTERNET OF THINGS (IOT)".
International Journal of Contemporary Research in Computer Science and Technology,
6(1), pp. 4-8.
