Distributed Clustering Algorithm for Energy Efficiency and Load-Balance in Large-Scale Multi-Agent Systems

Shaolei Lu*, Hao Fang, Yue Wei

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

To improve the energy efficiency and load-balance in large-scale multi-agent systems, a large-scale distributed cluster algorithm is proposed. At first, a parameter describing the spatial distribution of agents is designed to assess the information spreading capability of an agent. Besides, a competition resolution mechanism is proposed to tackle the competition problem in large-scale multiagent systems. Thus, the proposed algorithm can balance the load, adjust the system network locally and dynamically, reduce system energy consumption. Finally, simulations are presented to demonstrate the superiority of the proposed algorithm.

Original languageEnglish
Pages (from-to)234-243
Number of pages10
JournalJournal of Systems Science and Complexity
Volume31
Issue number1
DOIs
Publication statusPublished - 1 Feb 2018

Keywords

  • Clustering algorithm
  • distributed algorithm
  • energy efficiency
  • load-balance
  • multi-agent system

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