Title An Adaptive Task Assignment Scheme for Data Service in Heterogeneous Vehicular Networks
Authors Dai, Penglin
Liu, Kai
Xiao, Ke
Wang, Junhua
Yu, Zhaofei
Xing, Huanlai
Affiliation Southwest Jiaotong Univ, Sch Informat Sci & Technol, Chengdu 611756, Sichuan, Peoples R China.
Chongqing Univ, Coll Comp Sci, Chongqing 400040, Peoples R China.
Peking Univ, Inst Digital Media, Sch Elect Engn & Comp Sci, Beijing 100871, Peoples R China.
Keywords Heterogeneous wireless interfaces
Adaptive task assignment
Data scheduling strategy
Issue Date 2018
Publisher 2018 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, ARCHITECTURE AND STORAGE (NAS)
Citation 2018 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, ARCHITECTURE AND STORAGE (NAS). 2018.
Abstract Heterogeneous network resources are expected to cooperate with each other to support data services in vehicular networks. However, individual wireless interface cannot complete services within short vehicular dwelling time. Further, the network heterogeneity further complicates the transmission task assignment among multiple wireless interfaces. To resolve such an issue, we propose a novel architecture, where a scheduler is able to manage heterogeneous network resources in a centralized way. Then, we formulate the heterogeneous wireless interface management (HWIM) problem by considering both the heterogeneities of wireless interfaces and the delay constraints of service requests. On this basis, we design a heuristic algorithm called Adaptive Task Assignment (ATA), which synthesizes mobility feature, broadcast efficiency and service deadline into priority design. Accordingly, ATA is able to adaptively distribute broadcast task of each request among multiple interfaces, so as to improve overall system performance. Last but not the least, we build the simulation model and implement the proposed algorithm. The comprehensive simulation results show the superiority of the proposed algorithm
URI http://hdl.handle.net/20.500.11897/571667
Indexed CPCI-S(ISTP)
Appears in Collections: 信息科学技术学院

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