Hybrid energy-efficient and QoS-aware algorithm for intelligent transportation system in IoT

N. N. Srinidhi*, G. P. Sunitha, S. Raghavendra, S. M.Dilip Kumar, Victor Chang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)815-826
Number of pages12
JournalInternational Journal of Grid and Utility Computing
Issue number6
Publication statusPublished - 2020
Externally publishedYes


  • Energy efficiency
  • Intelligent transportation system
  • IoT
  • Network lifetime
  • QoS.


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