Abstract

The rising incursions with embed and linked sensors cause the construction of the Internet of Things (IoT). It’s presenting a wide access to the physical world. We support that on head of this data, a Web of Things (WoT) is required. A framework that permits the achievement of programs related to sensors in the IoT. In this paper we present a conceptual model that describes Web of Things Search engine (WoTSE).Our WoTSE is based on artificial multi agent system with a modular architecture, addressing the key challenge of scalable search for rapidly changing content while leveraging existing Web infrastructure. Also, a model for searching in the WoT, namely WoTmAS2E, is proposed and experimentally evaluated using a prototype.

Highlights

  • The present world is being more and more encrusted by sensors which can be linked to the Internet and the Web allowing to observe more and more things almost in real time with a browser

  • Since WoT and Internet of Things (IoT) infrastructures are real time and dynamic, the processing time of the request may be greater than the frequency of changes of state of the object, this means that the response to the request becomes inexact and out of date

  • WoTmAS2E was rated on indices that are makes by datasets and random values

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Summary

Introduction

The present world is being more and more encrusted by sensors which can be linked to the Internet and the Web allowing to observe more and more things almost in real time with a browser. With the reuse of technology and strategies of the internet navigation, the data and utility of those things like sensors diffusion, may be supplied at the Web as sources for customers and applications [3]. We think that this vogue is ancestor of a WoT [4] which will develop the classic Web, providing a standard link between reality entities and the virtual. In the IoT, sensors and actuators which might be linked to Smart Things display and manipulate their adjacent location They produce crude data about state changes in the environment, which does not interest the users.

Related work
WoTmAS2E model conceptual view
WoTmAS2E model architecture
User agent
Manage agent
Crawler agent
Index agent
Implementation
Sensor and entity of interest representation
Crawling
Indexing
Rank process
Evaluation
Days Establishments
Conclusion
Authors
Full Text
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