A flocking-inspired algorithm for fair resource allocation in vehicle-mounted mobile relays. (1st May 2017)

• Record Type: Journal Article
• Authors: Choi, Hyun-Ho; Lee, Jung-Ryun
• Is Part Of: Journal of network and computer applications. Volume 85(2017)
• Page Start: 134
• Page End: 142
• Publication Date: 2017-05-01
• Subjects: Flocking -- Resource allocation -- Vehicle-mounted mobile relay; Microcomputers -- Periodicals; Computer networks -- Periodicals; Application software -- Periodicals; Micro-ordinateurs -- Périodiques; Réseaux d'ordinateurs -- Périodiques; Logiciels d'application -- Périodiques; Application software; Computer networks; Microcomputers; Periodicals; 004.05; 004
• DOI: 10.1016/j.jnca.2016.12.013
• Languages: English
• ISSNs: 1084-8045

Abstract

Abstract: 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 analyze the convergence of the proposed flocking-inspired algorithm and verify its self-adaptiveness under the dynamically changing network topology. Further, we construct a cellular simulation environment in consideration of two-way four-lane and three-way intersection road scenarios and then evaluate the throughput performance of the proposed method in the context of the IEEE 802.16j relay network. The results show that the proposed flocking-inspired resource allocation method adaptively alleviates the inter-VMR and BS-VMR interferences, and enhances the throughput performance beyond that of a conventional method.