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 raise the rate of service searching success and reduce the rate of service executing interruption, the reliability-predicted service discovery & selection protocol (RPD&S) was proposed. A new mobile model of nodes could predict the mobility and available time of nodes, calculate the reliability of service provider nodes and the path, and then select the service provider node and the path with high reliability. Meantime, a double path was built between service request nodes and provider nodes. Simu- lation shows RPD&S can reduce failure rate of searching service and interrupt rate of execution. It also proves that RPD&S can solve the problems in service discovery and selection and improves the user expe- rience.