Research Article
Applying a Flocking-Inspired Algorithm to Fair Resource Allocation of Vehicle-Mounted Mobile Relays
@INPROCEEDINGS{10.1007/978-3-319-60717-7_24, author={Hyun-Ho Choi and Jung-Ryun Lee}, title={Applying a Flocking-Inspired Algorithm to Fair Resource Allocation of Vehicle-Mounted Mobile Relays}, proceedings={Quality, Reliability, Security and Robustness in Heterogeneous Networks. 12th International Conference, QShine 2016, Seoul, Korea, July 7--8, 2016, Proceedings}, proceedings_a={QSHINE}, year={2017}, month={8}, keywords={Flocking Resource allocation Vehicle-mounted mobile relay}, doi={10.1007/978-3-319-60717-7_24} }- Hyun-Ho Choi
Jung-Ryun Lee
Year: 2017
Applying a Flocking-Inspired Algorithm to Fair Resource Allocation of Vehicle-Mounted Mobile Relays
QSHINE
Springer
DOI: 10.1007/978-3-319-60717-7_24
Abstract
Previous studies for applying bio-inspired algorithms to resolve the traditional issues in wireless networks were motivated by some excellent characteristics of the bio-inspired algorithms including convergence, scalability, adaptability, and stability. In this paper, we apply the bio-inspired flocking algorithm to fair resource allocation in vehicle-mounted mobile relay (VMR) deployed networks. Although a VMR-deployed network has an advantage of the provision of high-quality communication services to mobile devices inside the vehicle, it is more susceptible to inter-VMR and base station (BS)-VMR interferences because both the mobility and geographical position of the VMRs and pedestrian mobile stations (MSs) cannot be artificially controlled. Therefore, the proposed flocking-inspired algorithm is designed to achieve the adaptive alleviation of the inter-VMR and BS-VMR interferences, and the attainment of a fair and distributed resource allocation among competing VMRs. We verify its self-adaptiveness under the dynamically changing network topology. The results show that the proposed flocking-inspired resource allocation method adaptively alleviates the inter-VMR and BS-VMR interferences.
