A two-tier edge computing based model for advanced traffic detection

Abbas Kiani, Guanxiong Liu, Hang Shi, Abdallah Khreishah, Nirwan Ansari, Jo Young Lee, Chengjun Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Traffic management based on video data captured by CCTV cameras causes a permanent stress on the network paths to the traffic monitoring centers. The recently introduced paradigm of edge computing can reduce the communications bandwidth requirement between the TMC and cameras by installing the computing resources, e.g., cloudlets, nearby the cameras. However, the cloudlets are designed as resource-poor facilities owing to scalability and economical deployment issues, and thus, the video processing capabilities at the cloudlets are limited. In this paper, we focus on the traffic detection problem and propose a two-tier edge computing based model that takes into account of both the computing capability of the TMC and the low bandwidth requirement of the cloudlets. To this end, we develop a traffic detection algorithm with two configurations; one designed based on the cloudlets' computing capability, and the other one with high accuracy to be executed at the TMC. Moreover, the performance of the proposed two-tier model as well as the traffic detection algorithm is evaluated via test-bed experiments in which we show the traffic detection accuracy can be maximized by switching between the video processing at the edge and the cloud.

Original languageEnglish (US)
Title of host publication2018 5th International Conference on Internet of Things
Subtitle of host publicationSystems, Management and Security, IoTSMS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages208-215
Number of pages8
ISBN (Electronic)9781538695852
DOIs
StatePublished - Nov 30 2018
Event5th International Conference on Internet of Things: Systems, Management and Security, IoTSMS 2018 - Valencia, Spain
Duration: Oct 15 2018Oct 18 2018

Publication series

Name2018 5th International Conference on Internet of Things: Systems, Management and Security, IoTSMS 2018

Other

Other5th International Conference on Internet of Things: Systems, Management and Security, IoTSMS 2018
CountrySpain
CityValencia
Period10/15/1810/18/18

All Science Journal Classification (ASJC) codes

  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

Keywords

  • Congestion Detection
  • Edge Computing
  • Video Analysis

Cite this

Kiani, A., Liu, G., Shi, H., Khreishah, A., Ansari, N., Lee, J. Y., & Liu, C. (2018). A two-tier edge computing based model for advanced traffic detection. In 2018 5th International Conference on Internet of Things: Systems, Management and Security, IoTSMS 2018 (pp. 208-215). [8554663] (2018 5th International Conference on Internet of Things: Systems, Management and Security, IoTSMS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IoTSMS.2018.8554663