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A hierarchical account-aided Reputation Management system for large-scale MANETs

机译:大型MANET的分级帐户辅助信誉管理系统

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Encouraging cooperative and deterring selfish behaviors are important for proper operations of MANETs. For this purpose, most previous efforts either rely on reputation systems or price systems. However, both systems are neither sufficiently effective in providing cooperation incentives nor efficient in resource consumption. Nodes in both systems can be uncooperative while still being considered trustworthy. Also, information exchange between mobile nodes in reputation systems and credit circulation in price systems consume significant resources. This paper presents a hierarchical Account-aided Reputation Management system (ARM) to efficiently and effectively provide cooperation incentives. ARM builds a hierarchical locality-aware DHT infrastructure for efficient and integrated operations of both reputation and price systems. The infrastructure helps to globally collect all reputation information in the system, which helps to calculate more accurate reputation and detect abnormal reputation information. Also, ARM coordinately integrates resource and price systems by enabling higher-reputed nodes to pay less for their received services. Theoretical analysis demonstrates the properties of ARM. Simulation results show that ARM outperforms both a reputation system and price system in terms of effectiveness and efficiency.
机译:鼓励合作和制止自私行为对于MANET的正常运行很重要。为此,大多数先前的努力要么依靠信誉系统,要么依靠价格系统。但是,这两种系统在提供合作激励方面都不够有效,在资源消耗方面也没有效率。两个系统中的节点可能不合作,同时仍被认为是可信任的。而且,信誉系统中的移动节点之间的价格交换和价格系统中的信用流通之间的信息交换会消耗大量资源。本文提出了一种层次结构的帐户辅助信誉管理系统(ARM),以有效地提供合作激励措施。 ARM为信誉和价格系统的高效和集成操作构建了一个可感知位置的分层DHT基础结构。基础结构有助于全局收集系统中的所有信誉信息,这有助于计算更准确的信誉并检测异常信誉信息。而且,ARM通过使声誉更高的节点为接收的服务支付的费用更少,来协调资源和价格系统的集成。理论分析证明了ARM的特性。仿真结果表明,ARM在有效性和效率方面均胜过声誉系统和价格系统。

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