摘要
为解决物联网信息服务需求,提出一种基于功能价值择优的信息服务组合方法。结合物联网中设备资源受限、数据信息与地理位置密切相关的特点,建立物联网QoS模型;利用服务功能关键词在Google知识库中的索引数目,定量表征各功能的相对重要性;在此基础上,从功能价值与服务质量(quality of service,QoS)两方面评价候选服务,采用改进的遗传算法在可行服务组合空间中全局寻优。实验结果表明,该方法在用户预算有限时能有效搜索到更符合用户需求的组合方案,优先保留用户关注的数据信息。
To solve the demands of information service in internet of things (IoT),a function value based method of IoT service composition was proposed.Considering sensory device resource constraints and the close relation between geographical position and sensory data,the QoS in IoT was modeled.The function value representing the Google hit number was defined as the rela-tive importance of individual service.On this basis,each individual candidate service was evaluated using both the QoS and the inherent service function value,and the efficiency enhanced genetic algorithm was used as the global optimization method of ser-vice composition.The experimental results show that the proposed optimization method is more feasible and effective for solving IoT information service composition problem.Under the user budget,the sensory data which the user more interested in is pre-served in priority.
出处
《计算机工程与设计》
北大核心
2015年第5期1139-1144,共6页
Computer Engineering and Design
基金
深圳市科技研发基金项目(JCYJ20120616140147748)