Social welfare maximization for SRSNs using bio-inspired community cooperation mechanism

Yu Hua Xu, Qi Hui Wu, Jin Long Wang, Yu Dong Yao

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

This paper considers social welfare maximization for spatial resource sharing networks (SRSNs), in which multiple autonomous users are spatially located and mutual influence only occurs between nearby users. To cope with a lack of central control and the restriction that only local information is available, a spatial resource sharing game is proposed. However, individual selfishness in traditional game models generally leads to inefficiency and dilemmas. Inspired by local cooperative behavior in biological systems, a community cooperation mechanism (CCM) is proposed to improve the efficiency of the game. Specifically, when a user makes a decision, it maximizes the aggregate payoffs for its local community rather than selfishly consider itself. It is analytically shown that with the bio-inspired CCM, the social optimum of SRSNs is achieved with an exchange of local information. The proposed bio-inspired CCM is very general and can be applied to various communication networks.

Original languageEnglish
Pages (from-to)125-131
Number of pages7
JournalChinese Science Bulletin
Volume57
Issue number1
DOIs
StatePublished - Jan 2012

Keywords

  • community cooperation mechanism
  • potential game
  • social optimum
  • spatial adaptive play
  • spatial resource sharing networks

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