Swarm-Intelligence-Based Rendezvous Selection via Edge Computing for Mobile Sensor Networks

Xuxun Liu, Tie Qiu, Bin Dai, Lei Yang, Anfeng Liu, Jiangtao Wang

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)


Mobile-edge nodes, as an efficient approach to the performance improvement of wireless sensor networks (WSNs), play an important role in edge computing. However, existing works only focus on connected networks and suffer from high calculational costs. In this article, we propose a rendezvous selection strategy for data collection of disjoint WSNs with mobile-edge nodes. The goal is to achieve full network connectivity and minimize path length. From the perspective of the application scenario, this article is distinctive in two aspects. On the one hand, it is specially designed for partitioned networks which are much more complex than conventional connected scenarios. On the other hand, this article is specially designed for delay-harsh applications rather than usual energy-oriented scenarios. From the viewpoint of the implementation method, a simplified ant colony optimization (ACO) algorithm is performed and displays two characteristics. The first one is the path segmenting mechanism, simplifying the path construction of each part and consequently reducing the computational cost. The second one is the candidate grouping mechanism, reducing the search space and accordingly speeding up the convergence speed. Simulation results demonstrate the feasibility and advantages of this approach.

Original languageEnglish
Article number8995490
Pages (from-to)9471-9480
Number of pages10
JournalIEEE Internet of Things Journal
Issue number10
Early online date12 Feb 2020
Publication statusPublished - Oct 2020
Externally publishedYes


  • Ant colony optimization (ACO)
  • disconnected network
  • mobile-edge node
  • rendezvous selection
  • wireless sensor network (WSN)

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications


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