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为提高服务查找成功率以及降低服务中断率,提出了在泛在末梢环境下基于可靠性预测的服务发现与选择协议(RPD&S).通过建立节点移动模型,预测节点的移动性及节点有效时间,计算服务提供节点及路径的可靠性,选取可靠性最高的服务提供节点及路径,同时采用双路径机制增强路径可靠性.仿真结果表明,RPD&S的服务查找失败率比跨层的服务发现协议低,服务执行中断率比基于时延的服务选择协议低.RPD&S能有效解决服务发现与选择中的问题,提高用户体验.
In order to improve the success rate of service discovery and reduce the service interruption rate, a service discovery and selection protocol (RPD & S) based on reliability prediction in ubiquitous peripheral environment is proposed. By establishing a node mobility model, predicting node mobility and node effective time, The reliability of service provider nodes and paths is calculated, the service provider nodes and paths with the highest reliability are selected, and the dual path mechanism is used to enhance the path reliability.The simulation results show that the service failure rate of RPD & S is lower than that of cross-layer service discovery protocol, Service execution interrupt rate is lower than delay-based service selection protocol.RPD & S can effectively solve the problems in service discovery and selection and improve the user experience.