Services in IoT: A Service Planning Model Based on Consumer Feedback

IoT offers a large number of services from different providers. These services frequently need to be composed to provide novel applications. Current work in IoT service composition can be classified as conversation-based or interface-based. Conversation-based approaches need the manual definition of service plans, which is not feasible in IoT because of the large scale. Interface-based approaches use planning to automate the composition process. Such automation avoids human intervention, but some incorrect services can appear in the discovered plans. The efficiency of these approaches is poor because they perform intensive search in large spaces. This paper proposes a model for service composition with minimal human intervention using consumers' feedback. Results show that our model outperforms its competitors.