Dynamic Configuration of Sensors Using Mobile Sensor Hub in Internet of Things Paradigm
Charith Perera, Prem Jayaraman, Arkady Zaslavsky, Peter Christen,, Dimitrios Georgakopoulos

TL;DR
This paper introduces MoSHub, a mobile application that autonomously connects diverse sensors to cloud IoT solutions, reducing manual setup and network communication through intelligent data processing.
Contribution
It presents a novel mobile sensor hub that automates sensor-to-cloud configuration, minimizing manual effort and enhancing IoT deployment efficiency.
Findings
Automated configuration reduces manual labor significantly.
MoSHub effectively connects various sensors to cloud middleware.
Experimental results demonstrate energy savings and ease of deployment.
Abstract
Internet of Things (IoT) envisions billions of sensors to be connected to the Internet. By deploying intelligent low-level computational devices such as mobile phones in-between sensors and cloud servers, we can reduce data communication with the use of intelligent processing such as fusing and filtering sensor data, which saves significant amount of energy. This is also ideal for real world sensor deployments where connecting sensors directly to a computer or to the Internet is not practical. Most of the leading IoT middleware solutions require manual and labour intensive tasks to be completed in order to connect a mobile phone to them. In this paper we present a mobile application called Mobile Sensor Hub (MoSHub). It allows variety of different sensors to be connected to a mobile phone and send the data to the cloud intelligently reducing network communication. Specifically, we…
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Taxonomy
TopicsEnergy Efficient Wireless Sensor Networks · Context-Aware Activity Recognition Systems · IoT and Edge/Fog Computing
