QoS Methodology on Variable User Services using Soft Computing Algorithm over IoT Networks

Abstract

The provision of deterministic QoS over variable services based on user applications over the IoT network is a requirement among the research community. IoT finds various applications in real-time use cases, beginning with the implementation of effective decision-making to allow business intelligence, agriculture, smart home, office, forestry that supports streaming services. The QoS framework and successful session management of multiple query exchanges between IoT nodes increase the risk of traffic or flooding over the network. The need to help the optimization of resource usage in the provisioning of QoS with an adaptive route discovery using Firefly swarm intelligence is a key discussion of this work. FSIN, the proposed work aims at the design of an optimization route approach using firefly to evaluate the route direction as well as variable resource allocation over heterogeneous IoT devices for dynamic services. This method tests the threshold behaviour of the desired QoS on demand and demonstrates that the goals of the FSIN meet the longevity of the QoS system session, the minimum delay to achieve and the optimum quality of service based on the packet delivery rate.