智慧城市中 QOE 感知服务组合策略的研究-《计算机技术与发展》

文章信息/Info

Author(s):: YANG Wen-qing; LIU Guang-zhong; School of Information Engineering,Shanghai Maritime University,Shanghai 201306,China

Keywords:: Internet of Things service; DCOP model; service selection algorithm; QOE evaluation model

摘要:: 无线传感器的发展和物联网技术的应用,配有物联网的设备正以一种全新的“智能终端服务” 的形式进入人类生活,要想在复杂冗余的物联网环境中寻得满足不同用户需求的服务,需要考虑服务组合的概念。为此,在对传统服务组合研究方法深入分析的基础上,提出了智慧城市的服务组合选择策略。首先根据物联网应用服务的多样性,通过改进蚁群算法获得用户对服务的偏好顺序,然后使用层次化 QOE 评价模型量化客户体验质量,进而选出最优服务组合提供给用户。根据提出的服务组合策略,给出服务选择具体的实施流程,通过仿真模拟表明基于改进蚁群算法的服务组合策略在服务选择问题上具有一定的推广价值。

Abstract:: The development of wireless sensors and the application of Internet of Things technology, devices equipped with the Internet of Things are entering human life in? ? ? ? ?the? form of a brand-new “intelligent terminal service”. In order to find services that meet the needs of different users in the complex and redundant Internet of Things environment, the concept of service composition needs to be considered.To this end,based on an in-depth analysis of traditional service composition research methods,we propose a service composition selection strategy of smart city. First, according to the diversity of IOT application services in smart cities,the user’s preference order for services is obtained by improving the ant colony algorithm, and then a hierarchical QOE evaluation model is used to quantify the quality of customer experience, thus selecting the optimal service combination for users. According to the proposed service composition strategy, the specific implementation process of service selection is given. The simulation shows that the service combination strategy based on the im鄄proved ant colony algorithm has a certain promotion value on the service selection problem.