A Fast IoT Service Composition Scheme for Energy Efficient QoS Services

Recently, service-oriented architecture (SOA) is considered as a key enabler of Internet of Things (IoT) where it can provide cooperation between heterogeneous smart IoT objects and give it the ability of integration in a flexible manner. One of the important issues in SOA-IoT when a huge number of smart IoT objects are deployed is how to select the most appropriate set of smart IoT objects to create a complex service when considers both energy and Quality of Service (QoS). The issue can be formulated as a multi-objectives optimization problem and hence is time consuming in solving. To speed up the IoT service composition finding, this work introduced a new iteration based relaxation technique based on user preferences and end-to-end QoS localization. Extensive experiments show that the proposed approach has short execution time in various complex service profiles with good performance in energy consumption and maintains a reasonable QoS level.

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