Temnothorax albipennis migration inspired semi-flocking control for mobile sensor networks

Wanmai Yuan, Nuwan Ganganath, Chi Tsun Cheng, Qing Guo, Francis C.M. Lau

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)


Mobile sensor networks (MSNs) are utilized in many sensing applications that require both target seeking and tracking capabilities. Dynamics of mobile agents and the interactions among them introduce new challenges in designing robust cooperative control mechanisms. In this paper, a distributed semiflocking algorithm inspired by Temnothorax albipennis migration model is proposed to address the above issues. Mobile agents under the control of the proposed semiflocking algorithm are capable of detecting targets faster and tracking them with lower energy consumption when compared with existing MSN motion control algorithms. Furthermore, the proposed semiflocking algorithm can operate energy-efficiently on both flat and uneven terrains. Simulation results demonstrate that the proposed semiflocking algorithm can provide promising performances in target seeking and tracking applications of MSNs.

Original languageEnglish
Article number063113
Issue number6
Publication statusPublished - 1 Jun 2019

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Mathematical Physics
  • General Physics and Astronomy
  • Applied Mathematics


Dive into the research topics of 'Temnothorax albipennis migration inspired semi-flocking control for mobile sensor networks'. Together they form a unique fingerprint.

Cite this