Design and Implementation of Autonomous Collaboration System of Smart Things using accumulated Experience knowledge

Abstract

With the advent of many IoTs, users need a common use environment to easily connect, search, and share various IoTs. In addition, as IoTs become increasingly intelligent, there is a growing demand for services that work together. However, a large number of IoTs can cause serious traffic to the network when they collaborate with each other in a common usage environment. In this paper, we have designed the structure of IoT to construct a distributed social network based on semantic web to solve this problem. We also designed and implemented an autonomous collaborative service of IoT that can find collaborative partners through social network and accumulate experience knowledge after collaboration. We defined IoT with this structure as Smart Thing and a unique Basic Identity Information (BII) that allows Smart Thing to identify each other. In addition, we defined Basic Response Rules (DRRFS) for Smart Thing to follow in the Query & Answer process for Collaboration. Smart Thing with basic identity information is an independent, autonomous IoT device. Smart Thing with a distributed social network finds collaborative partners though recursive queries and provides services. In addition, we have confirmed in the autonomous collaborative system that Smart Thing who has experienced collaborations can work faster and more accurately using the accumulated experience knowledge when the same thing is done again. If all IoTs have basic identity information and use semantic technology, the Internet will be a huge space where Smart Thing can collaborate.