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Fog computing enabling geographic routing for urban area vehicular network

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Abstract

Geographic routing scheme has received considerable attention recently. We present a position-based routing scheme called improved geographic routing (IGR) for the inter-vehicle communication in city environments. IGR uses the vehicular fog computing to make the best utilization of the vehicular communication and computational resources. IGR consists of two modes: (i) junction selection according to the distance to the destination and the vehicle density of each street, and (ii) an improved greedy forwarding strategy to transmit a data packet between two junctions. In the improved greedy forwarding mode, link error rate is considered in the path selection. Simulations are conducted to evaluate the performance of IGR. Simulation results show that IGR has a significant improvement in terms of the achieved packet rate and end-to-end delay.

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Acknowledgments

This work is supported by National Natural Science Foundation of China (Grant No. 61402101, 61672151), Shanghai Municipal Natural Science Foundation (Grant No. 14ZR1400900), Fundamental Research Funds for the Central Universities (Grant No. 2232015D3-29). A Project Funded by the Priority Academic Program Development of Jiangsu Higer Education Institutions, Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology.

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Authors and Affiliations

  1. Donghua University, 2999 Renmin Road, Songjiang District, Shanghai, 201620, People’s Republic of China

    Ting Lu, Shan Chang & Wei Li

  2. Nanjing University of Information Science and Technology (NUIST), Nanjing, China

    Ting Lu

  3. Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, People’s Republic of China

    Shan Chang

Authors
  1. Ting Lu
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  2. Shan Chang
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  3. Wei Li
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Corresponding authors

Correspondence to Ting Lu or Shan Chang.

Additional information

This article is part of the Topical Collection: Special Issue on Fog Computing on Wheels

Guest Editors: Hongzi Zhu, Tom H. Luan, Mianxiong Dong, and Peng Cheng

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Lu, T., Chang, S. & Li, W. Fog computing enabling geographic routing for urban area vehicular network. Peer-to-Peer Netw. Appl. 11, 749–755 (2018). https://doi.org/10.1007/s12083-017-0560-x

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