Adaptive data dissemination for time-constrained messages in dynamic vehicular networks

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

20 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)214-229
Journal / PublicationTransportation Research Part C: Emerging Technologies
Volume21
Issue number1
Publication statusPublished - Apr 2012

Abstract

With the advent of emerging wireless communication technologies, tremendous efforts have been put on promoting the safety and efficiency of transportation services by developing innovative applications. In particular, there has been significant interest in accessing information stored at RSUs (Roadside Units). The unique characteristics in vehicular networks, such as dynamic traffic factors including vehicle arrival rate, dwell time and data access patterns, bring us new challenges on data dissemination. This work dedicates to the investigation of timely and adaptive data dissemination in the dynamically changing traffic environment. Firstly, we derive an analytical model to explore and examine the effects of the dynamic traffic factors. In light of the theoretical results, an on-line scheduling algorithm is proposed for adaptive data dissemination. Finally, we evaluate performance of the new algorithm in a variety of circumstances. The simulation results demonstrate satisfactory performance of the proposed algorithm. © 2011 Elsevier Ltd.

Research Area(s)

  • Adaptive scheduling, Data dissemination, Real-time, Roadside-to-vehicle communication