Earticle

초록

영어

Roadside units in Vehicular Ad hoc Networks are essential for acting as base stations that facilitate information spreading to vehicular users in the roads. Typically, vehicular nodes search for an infrastructure within their vicinity to fulfill the requested services such as internet accessing or content file handling. Due to the essentiality of the presence of roadsides as well as the high costs for installing them, determining the appropriate roadside populations is an ongoing challenge. According to the surrounding vehicular density, we aim to assure higher data throughput in order to accomplish a cooperative network. This paper considers the roadside populations as to supply vehicles’ requirements based on both a proposed algorithm and simulation results. Moreover, we study the roadside self-participation to enhance the transfer rates and achieve fair resource distribution among the requested vehicles based on coalition formation. Simulation results have proven that the variation of the roadside populations influences the data throughput. Additionally, the cooperative environment among vehicular nodes achieves higher roadside participation ratios especially in the maximum case.

목차

Abstract
 1. Introduction
 2. Problem Description
 3. Coalition Formation Approach
  3.1. Model Notation
  3.2. The Proposed Algorithm
 4. Performance Metrics
  4.1. Data Throughput
  4.2. Roadside Participation Ratio
 5. Simulation Results and Discussion
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Esraa Eldesouky [ College of Information Science and Engineering,Hunan University,410082, Changsha, China ]
• Ahmed Ali [ College of Information Science and Engineering,Hunan University,410082, Changsha, China ]
• Li Renfa [ College of Information Science and Engineering,Hunan University,410082, Changsha, China ]
• Wang Dong [ College of Information Science and Engineering,Hunan University,410082, Changsha, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605