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Enhancing routing performance for inter-vehicle communication in city environment

Published: 02 October 2006 Publication History

Abstract

A Mobile Ad hoc NETwork (MANET) is considered to be a self-organised network formed by wireless mobile nodes without any existing infrastructures. In the future, it is very likely every person and vehicle will have wireless communication capability in a city environment. The resulting information network can be viewed as a typical MANET with the characteristics of conventional ad hoc networks and Inter-Vehicle Communication (IVC) system with node heterogeneity. Due to various movement behaviors of mobile nodes, space constraints and obstacles effect, the MANET in the city environment can exhibit significantly different characteristic. This paper studies this particular MANET and the characteristics of the mobile nodes in the city environment, and discusses on the solutions for enhancing the routing performance. The city environment is constructed by a novel City-IVC Mobility model, and a typical IVC system, called the RoadLamp-aided IVC system is introduced and compared with the Bus-aided IVC system. The impact on the routing performance in both systems is extensively studied and compared by simulating the conventional protocol AODV

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Cited By

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  • (2011)Model of Vehicular Movement in Simulation of Vehicular Ad Hoc NetworksAdvanced Materials Research10.4028/www.scientific.net/AMR.204-210.391204-210(391-394)Online publication date: Feb-2011
  • (2010)Distributed Reinforcement Learning Approach for Vehicular Ad Hoc NetworksIEICE Transactions on Communications10.1587/transcom.E93.B.1431E93-B:6(1431-1442)Online publication date: 2010
  • (2010)Moving Direction Based Greedy routing algorithm for VANET2010 International Computer Symposium (ICS2010)10.1109/COMPSYM.2010.5685455(535-540)Online publication date: Dec-2010

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      cover image ACM Conferences
      PM2HW2N '06: Proceedings of the ACM international workshop on Performance monitoring, measurement, and evaluation of heterogeneous wireless and wired networks
      October 2006
      114 pages
      ISBN:1595935029
      DOI:10.1145/1163653
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 02 October 2006

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      Author Tags

      1. IVC
      2. MANET
      3. mobility model
      4. routing performance

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      PM2HW2N '06 Paper Acceptance Rate 16 of 30 submissions, 53%;
      Overall Acceptance Rate 74 of 226 submissions, 33%

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      • (2011)Model of Vehicular Movement in Simulation of Vehicular Ad Hoc NetworksAdvanced Materials Research10.4028/www.scientific.net/AMR.204-210.391204-210(391-394)Online publication date: Feb-2011
      • (2010)Distributed Reinforcement Learning Approach for Vehicular Ad Hoc NetworksIEICE Transactions on Communications10.1587/transcom.E93.B.1431E93-B:6(1431-1442)Online publication date: 2010
      • (2010)Moving Direction Based Greedy routing algorithm for VANET2010 International Computer Symposium (ICS2010)10.1109/COMPSYM.2010.5685455(535-540)Online publication date: Dec-2010

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