DocumentCode
3117312
Title
Achieving Handoff Optimization and Throughput Efficiency in Vehicular Networks
Author
Quan Sun ; Liusheng Huang ; Hongli Xu
Author_Institution
Sch. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
fYear
2013
fDate
11-13 Dec. 2013
Firstpage
147
Lastpage
152
Abstract
As users drive through the vehicular networks with high speed, they frequently associate with different access points in succession to maintain connectivity. Without careful designed association control policy, it may lead to large number of handoffs and inefficient connections, which can potentially incur unacceptable delays and poor throughput. In this paper, we propose a new association control scheme with the goal of reducing the frequency of handoffs and improving throughput for all vehicular users. The defined problem HMTE (Handoff Minimization and Throughput Efficiency) is mathematically described as a min-max programming. Since the HMTE problem is NP-hard, we propose an alpha-approximation(alpha >= 2) algorithm CHMTE to resolve it. CHMTE employs a novel method to simplify the original problem to the Minimum cost Maximum flow problem, which is solved in polynomial time. Extensive evaluations show that the proposed algorithm outperforms the existing schemes in terms of the handoff frequency and network throughput.
Keywords
computational complexity; mobility management (mobile radio); optimisation; polynomial approximation; HMTE problem; NP-hard; access points; alpha-approximation; association control; handoff optimization; maximum flow problem; min-max programming; minimum cost; network throughput; polynomial time; throughput efficiency; vehicular networks; Bandwidth; Bit rate; Educational institutions; Optimization; Roads; Throughput; handoff; optimization theories; throughput; vehicular networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Mobile Ad-hoc and Sensor Networks (MSN), 2013 IEEE Ninth International Conference on
Conference_Location
Dalian
Print_ISBN
978-0-7695-5159-3
Type
conf
DOI
10.1109/MSN.2013.34
Filename
6726323
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