In recent years, many scholars have paid more attention to the service-oriented computing for Internet of Things (IoT). With the increasing smart devices are deployed in IoT, it has become a challenging problem that how to quickly combine the services provided by IoT components into a comprehensive composite service to balance energy and quality of service (QoS). In this article, a fast energy-centered and QoS-aware service composition approach (FSCA-EQ) is proposed for IoT service composition. The FSCA-EQ employs the idea of hierarchical optimization. First, the compromise ratio method (CRM) is used to pre-select services satisfying user’s QoS requirements. Then, to reduce the energy consumption and extend the lifetime of IoT devices, the concept of relative dominance is applied to select the optimal service as the final composite service. The relative dominance of the service depends on its energy profile, QoS attributes, and user’s preferences. The simulation results show that the proposed algorithm performs better in terms of selection time, energy consumption, and optimality.

近年来，许多学者更加关注物联网（IoT）的面向服务的计算。随着越来越多的智能设备部署在IoT中，如何快速将IoT组件提供的服务组合到一个综合的综合服务中以平衡能量和服务质量（QoS）已成为一个具有挑战性的问题。在本文中，针对物联网服务组合，提出了一种快速的以能量为中心且支持QoS的服务组合方法（FSCA-EQ）。FSCA-EQ采用了层次优化的思想。首先，采用折衷比率法（CRM）来预先选择满足用户QoS要求的服务。然后，为了降低能耗并延长IoT设备的使用寿命，应用相对优势的概念来选择最佳服务作为最终的复合服务。服务的相对优势取决于其能量配置文件，QoS属性和用户的偏好。仿真结果表明，该算法在选择时间，能量消耗和最优性方面均具有较好的性能。