Name
Title | ||
|---|---|---|
A Hybrid-Fuzzy Logic Guided Genetic Algorithm (H-FLGA) Approach for Resource Optimization in 5G VANETs |
Abstract | ||
|---|---|---|
To support diversified quality of service demands and dynamic resource requirements of users in 5G driven VANETs, network resources need flexible and scalable resource allocation strategies. Current heterogeneous vehicular networks are designed and deployed with a connection-centric mindset with fixed resource allocation to a cell regardless of traffic conditions, static coverage, and capacity. In this paper, we propose a hybrid-fuzzy logic guided genetic algorithm (H-FLGA) approach for the software defined networking controller, to solve a multi-objective resource optimization problem for 5G driven VANETs. Realizing the service oriented view, the proposed approach formulates five different scenarios of network resource optimization in 5G VANETs. Furthermore, the proposed fuzzy inference system is used to optimize weights of multi-objectives, depending on the type of service requirements of customers. The proposed approach shows the minimized value of multi-objective cost function when compared with the GA. The simulation results show the minimized value of end-to-end delay as compared to other schemes. The proposed approach will help the network service providers to implement a customer-centric network infrastructure, depending on dynamic customer needs of users. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/tvt.2019.2915194 | IEEE Transactions on Vehicular Technology |
Keywords | Field | DocType |
5G mobile communication,Resource management,Computer architecture,Fuzzy logic,Vehicular ad hoc networks,Quality of service,Microprocessors | Resource management,Computer science,Fuzzy logic,Quality of service,Computer network,Resource allocation,Software-defined networking,Optimization problem,Genetic algorithm,Vehicular ad hoc network | Journal |
Volume | Issue | ISSN |
68 | 7 | 0018-9545 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ammara Khan | 1 | 1 | 0.37 |
| Mehran Abolhasan | 2 | 451 | 48.95 |
| Wei Ni | 3 | 474 | 70.16 |
| Justin Lipman | 4 | 32 | 10.19 |
| Abbas Jamalipour | 5 | 2295 | 219.61 |