An Energy Optimized Clustering approach for Communication in Vehicular Cloud Systems
dragonfly method; energy optimization; heuristics; routing; throughput; Vehicular cloud
Vehicular cloud networks are considered to possess faster transitional topology and mobility thereby adhering to its features as an ad hoc network. Many times, it is difficult to monitor vehicular nodes that results in internetworking concerns as a result of power inadequacy during real computation. This leads to lots of energy wastage issues encountered during routing which degrades lifetime of nodes. Thus in this study a new clustering based energy optimization method is proposed to enhance the efficiency of vehicular communication. K-medoid cluster analysis along with dragonfly approach is applied to the system model to optimize energy. On the basis of simulation undertaken, it is recorded that the network lifetime, packets delivered, processing delay and throughput are increased using the proposed model. 2023 IEEE.
Bhaktisudha S.; Mishra S.; Nandi A.; Sharma V.; Alkhayyat A.
2023 2nd International Conference on Smart Technologies for Smart Nation, SmartTechCon 2023, pp. 1060-1065.
Institute of Electrical and Electronics Engineers Inc.
https://doi.org/10.1109/SmartTechCon57526.2023.10391821 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184808683&doi=10.1109%2fSmartTechCon57526.2023.10391821&partnerID=40&md5=d5cafaa69ff95d7ae937d7dc4e0fbb08
Bhaktisudha S., School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India; Mishra S., School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India; Nandi A., School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India; Sharma V., CHRIST(Deemed to be University), Delhi-NCR, India; Alkhayyat A., College of Technical Engineering, The Islamic University, Najaf, Iraq