Abstract

To apply the algorithms in Internet of Things for physical world objects, the relationship between physical objects is becoming more and more complicated. As we know, social relationship is widely used in human world and social Internet of Things to solve the multiple object problems. Thus, a way via combining social relationship with physical object to solve the problem with a huge number of objects or complicated interactions among objects has been analyzed. This article proposes a new concept of “Physical Objects’ Social Relationship” for describing, managing, and predicting the relationships between physical objects in Internet of Things. The classification method for physical objects’ social relationships is proposed using the spatial-temporal attribute of social relationships. Moreover, the logical expression method for physical objects’ social relationships is discussed.

Highlights

  • With the development of the Internet of Things (IoT), more and more physical things are mapping to cyber space, and more and more connections are built between them

  • The social relationships with temporal attributes refer to those social relationships which change with time even though there are no other physical events occuring on these two physical objects

  • We provide a number of advantages that use physical objects’ social relationship in the search engine: 1. In the search engine of the IoT, the physical attributes of physical objects are used to establish the ‘‘similar’’ social relationship between physical objects

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Summary

Introduction

With the development of the Internet of Things (IoT), more and more physical things are mapping to cyber space, and more and more connections are built between them. The social relationships with temporal attributes refer to those social relationships which change with time even though there are no other physical events occuring on these two physical objects. The search engine will calculate the similarity of the possible physical objects, and the set of physical objects closest to the given attribute value This process is shown in Figure 4: 1. Research on how to find the possible physical object set more quickly, reduce the number of physical objects that should calculate the attribute similarity value In this part, we mainly study the use of physical objects’ social relationship to reduce the calculate number. By adding the physical objects’ social relationship, the new search engine is the most suitable object in the step of match index value in the index value. As the social relationship improves the possibility of the new search engine hit the result, the new search engine works faster than the original one

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