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Edge Computing-Enabled Resource Provisioning for Video Surveillance in Internet of Vehicles

  • Xiaolong Xu
  • Qi Wu
  • Chengxun He
  • Shaohua Wan
  • Lianyong QiEmail author
  • Hao Wang
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1122)

Abstract

As a novel technology, Internet of Vehicles (IoV) is employed to gather real-time traffic information for drivers from sensors and video surveillance devices with image processing, circumstances analysis and events recognition. In spite of multiple advantages of IoV, preprocessing the huge data may demand abundant computation resources for video surveillance devices. Migrating tasks to remote servers for performing is efficient to solve this problem, but it needs high network bandwidth, which causes traffic congestion and delay. Edge computing has capability to enhance processing performance, which complements video surveillance device and addresses numerous shortcomings. Nevertheless, edge computing for video surveillance remains a challenge to achieve low-latency and load balance through limited amount of edge servers. To handle this challenge, an Edge computing-enabled Resource Provisioning Method (ERPM) for Video Surveillance in IoV is proposed in this paper. Technically, SPEA2 (improving the Strength Pare to Evolutionary Algorithm) is picked to solve the multi-objective optimization problem aiming at minimizing the time consumption and optimizing load balance. Finally, experimental simulation for Evolution algorithm demonstrate the appropriation and efficiency of ERPM.

Keywords

Internet of Vehicles Edge computing Resource allocation Video surveillance 

Notes

Acknowledgment

This research is supported by the National Science Foundation of China under grant no. 61702277 and 61872219.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Xiaolong Xu
    • 1
    • 2
  • Qi Wu
    • 1
  • Chengxun He
    • 1
  • Shaohua Wan
    • 3
  • Lianyong Qi
    • 4
    Email author
  • Hao Wang
    • 5
  1. 1.School of Computer and SoftwareNanjing University of Information Science and TechnologyNanjingChina
  2. 2.Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET)Nanjing University of Information Science and TechnologyNanjingChina
  3. 3.School of Information and Safety EngineeringZhongnan University of Economics and LawWuhanChina
  4. 4.School of Information Science and EngineeringQufu Normal UniversityRizhaoChina
  5. 5.Department of Computer ScienceNorwegian University of Science and TechnologyGjøvikNorway

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