A fast energy-centered and QoS-aware service composition approach for Internet of Things

Abstract

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.