A Distributed Sensor Data Search Platform for Internet of Things Environments

TL;DR

This paper introduces ViSIoT, a distributed platform enabling users to discover and utilize IoT sensors as services, demonstrated through a weather report case study for rheumatism patients.

Contribution

The paper presents a novel platform that facilitates sensor discovery and integration in IoT environments, addressing interoperability limitations.

Findings

Prototype implementation demonstrates effective sensor discovery.

Performance evaluation shows acceptable response times.

Case study validates practical application for health-related weather reports.

Abstract

Recently, the number of devices has grown increasingly and it is hoped that, between 2015 and 2016, 20 billion devices will be connected to the Internet and this market will move around 91.5 billion dollars. The Internet of Things (IoT) is composed of small sensors and actuators embedded in objects with Internet access and will play a key role in solving many challenges faced in today's society. However, the real capacity of IoT concepts is constrained as the current sensor networks usually do not exchange information with other sources. In this paper, we propose the Visual Search for Internet of Things (ViSIoT) platform to help technical and non-technical users to discover and use sensors as a service for different application purposes. As a proof of concept, a real case study is used to generate weather condition reports to support rheumatism patients. This case study was executed in a working prototype and a performance evaluation is presented.