Adaptive deployment optimization for a multi-layer surveillance network

Yaobin HE*, Dian ZHANG, Li QI, Shengzhong FENG, Zhong MING, Jianping FAN

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review


A profound design for a large distributed surveillance network system is proposed in this paper to efficiently quantify and predict the dynamic incoming data flows of video system surveillance. Through making a theoretical analysis on the equilibrium demand of the system, a new queuing network model is introduced to characterize the dynamic video stream uploading behaviors from surveillance network. Two optimization problems in the system are discussed, including minimal server deployment, and dynamic routing for a satisfied quality of service(QoS). Furthermore, the new design and the proposed optimization algorithms are evaluated in a realistic environment. It is able to dynamically redirect the bursty requests flow to the sufficient nodes to avoid the overflow of the queueing and to keep the system response in time.


Original languageEnglish
Pages (from-to)145-152
Number of pages8
JournalShenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering
Issue number2
Publication statusPublished - Mar 2014
Externally publishedYes

Bibliographical note

Foundation: National Key Technology R&D Program (2012BAH07B01); National Natural Science Foundation of China (61202377)


  • Data network
  • Deployment optimization
  • Distributed processing system
  • Load balancing
  • Parallel computing
  • Queuing network
  • Surveillance networkd
  • 分布式处理系统
  • 并行计算
  • 数据网络
  • 排队网络
  • 资源自己置优化
  • 负载均衡
  • 视频监控


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