这份报纸为分享网络(SRSN ) 的空间资源考虑社会福利最大化,在哪个多重自治用户空间地被找到,相互的影响仅仅发生在附近的用户之间。应付仅仅本地的信息是可得到的中央控制和限制的缺乏,分享游戏的一个空间资源被建议。然而,在传统的游戏模型的单个自私通常导致无效和窘境。在生物系统由本地合作行为启发了,社区合作机制(CCM ) 被建议改进游戏的效率。明确地,当一个用户作决定时,它最大化为它的本地社区而非自私地的发薪考虑自己的总数。它是显示出的经分解与启发简历的 CCM, SRSN 的社会最佳与本地信息的交换被完成。建议启发简历的 CCM 是很一般的并且能被用于各种各样的通讯网络。
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.