Hybrid energy-efficient and QoS-aware algorithm for intelligent transportation system in IoT. (14th September 2020)

• Record Type: Journal Article
• Authors: Srinidhi, N.N.; Sunitha, G.P.; Raghavendra, S.; Kumar, S.M. Dilip; Chang, Victor
• Is Part Of: International journal of grid and utility computing. Volume 11:Number 6(2020)
• Page Start: 815
• Page End: 826
• Publication Date: 2020-09-14
• Subjects: energy efficiency -- intelligent transportation system -- IoT -- network lifetime -- QoS; Electronic data processing -- Distributed processing -- Periodicals; Electronic commerce -- Management -- Computer programs -- Periodicals; 004.605
• Languages: English
• ISSNs: 1741-847X

Abstract

The Internet of Things (IoT) consists of large amount of energy consuming devices which are pre-figured to progress the effective competence of several industrial applications. It is very much essential to bring down the energy use of every device deployed in the IoT network without compromising the Quality of Service (QoS) for intelligent transportation system. To achieve this objective, a multiobjective optimisation problem to accomplish the aim of estimating the outage performance of clustering process and the network lifetime is devised. Subsequently, a Hybrid Energy Efficient and QoS Aware (HEEQA) algorithm that is a combination of Quantum Particle Swarm Optimisation (QPSO) along with improved Non-dominated Sorting Genetic Algorithm (NSGA) to achieve energy balance among the devices is proposed. NSGA is applied to solve the problem of multiobjective optimisation and the QPSO algorithm is used to find the optima cooperative nodes and cluster head in the clusters.