EFF-FAS: Enhanced fruit fly optimisation based search and tracking by flying ad hoc swarm

Vishal Sharma, Roberto Sabatini, Subramanian Ramasamy, Kathiravan Srinivasan*, Rajesh Kumar

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Flying ad hoc swarms are networks formed by autonomously operated aerial nodes. These nodes can be simple high altitude platforms or specifically configured unmanned aircraft (UA). Such networks are autonomous, temporary and mission dependent. One of the major applications of this ad hoc swarm formations is the efficient search and tracking of an area without any redundancy and overlapping. Non-redundant cell tracking is a computationally expensive task, which requires optimisation strategies to be adopted during a search process. Incorporating fruit fly optimisation (FOA) algorithm to a strategic search and track operation simplifies the complexity of the overall system. In this paper, FOA is extended in terms of its applicability by modifying the procedures of the algorithm to allow its applicability to an aerial swarm for non-redundant search over a predefined area with lower complexity. Network simulations demonstrate the effectiveness of the proposed approach towards search and track operations.

Original languageEnglish
Pages (from-to)161-172
JournalInternational Journal of Ad Hoc and Ubiquitous Computing
Volume30
Issue number3
DOIs
Publication statusPublished - 14 Mar 2019
Externally publishedYes

Keywords

  • Ad hoc swarms
  • Data acquisition
  • FOA
  • Fruit fly optimisation
  • Searching
  • Tracking
  • Unmanned aircraft

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

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