| Title |
Fault-Tolerance Aware Green Computing Scheme In Software-Defined Vehicular Social Network |
| ID_Doc |
26218 |
| Authors |
Mishra P.; Godfrey W.W.; Kumar N. |
| Year |
2022 |
| Published |
2022 IEEE 6th Conference on Information and Communication Technology, CICT 2022 |
| DOI |
http://dx.doi.org/10.1109/CICT56698.2022.9997865 |
| Abstract |
The Vehicular Social Network (VSN) is an advanced social communication system with intelligent sensing objects and vehicular communication in smart city applications. Fault-tolerance aware green computing is an essential concern in the VSN environment considering vehicle mobility. Therefore, this work proposes a Random Way-Point (RWP) mobility model to simulate the VSN environment. Further, it is difficult to maintain global network stability with communication costs in a VSN. Therefore, fault-tolerance aware green traffic data dissemination is modelled as an optimization problem considering transmission distance, residual energy, relative load-imbalance, and mobility factor performance metrics considering Software-Defined VSN (SDVSN) architecture. To solve this problem, a Particle Swarm Optimization (PSO), called Fault-tolerance-aware Energy-efficient Particle Swarm Optimization (FEPSO) algorithm, is proposed in SDVSN. Extensive simulation studies are carried out to compare the performance of the proposed FEPSO to state-of-the-art methods. The comprehensive analysis of the compared findings attest with fault-tolerant aware green computing benefits in a real VSN environment. © 2022 IEEE. |
| Author Keywords |
Green Computing; Heterogeneous mobile sensors; Particle Swarm Optimization; Software-defined VSN (SDVSN); Vehicular Social Network (VSN) |
