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Kumar, N, Chaudhry, R, Kaiwartya, O 
ORCID: https://orcid.org/0000-0001-9669-8244, Kumar, N and Ahmed, SH,
2021.
Green computing in software defined Social Internet of Vehicles.
IEEE Transactions on Intelligent Transportation Systems, 22 (6), pp. 3644-3653.
ISSN 1524-9050
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Abstract
Social Internet of Vehicles (SIoV) is an evolving vehicular networking framework integrating the next generation smart devices with vehicular communications. Green computing and communication under disruptive vehicular environment is one of the challenging tasks for enabling SIoV. In this context, green traffic data dissemination in SIoV environments is modelled as an NP-hard problem focusing on heterogeneous traffic data, transmission distance from next generation smart devices and probabilistic delay in transmissions due to disruptive vehicular environment. An adopted meta-heuristic solution namely Two-Way Particle Swarm Optimization (TWPSO) is developed for the green traffic data dissemination problem in SIoV considering software defined vehicular network architecture. Extensive simulation experiments were performed to assess the performance of TWPSO as compared to the state-of-the-art techniques. The critical analysis of the comparative results attest the green computing oriented benefits of TWPSO under real SIoV environments.
| Item Type: | Journal article |
|---|---|
| Publication Title: | IEEE Transactions on Intelligent Transportation Systems |
| Creators: | Kumar, N., Chaudhry, R., Kaiwartya, O., Kumar, N. and Ahmed, S.H. |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Date: | June 2021 |
| Volume: | 22 |
| Number: | 6 |
| ISSN: | 1524-9050 |
| Identifiers: | Number Type 10.1109/tits.2020.3028695 DOI 1448482 Other |
| Divisions: | Schools > School of Science and Technology |
| Record created by: | Linda Sullivan |
| Date Added: | 30 Jun 2021 11:08 |
| Last Modified: | 30 Jun 2021 14:31 |
| URI: | https://irep.ntu.ac.uk/id/eprint/43275 |
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