Research Article SensorHUB: An IoT Driver Framework for Supporting Sensor Networks and Data Analysis László Lengyel, Péter Ekler, Tamás Ujj, Tamás Balogh, and Hassan Charaf Budapest University of Technology and Economics, 1117 Magyar Tud´ osok k¨ or´ utja 2, 1117 Budapest, Hungary Correspondence should be addressed to L´ aszl´ o Lengyel; lengyel@aut.bme.hu Received 6 May 2015; Revised 30 June 2015; Accepted 13 July 2015 Academic Editor: Yong Lee Copyright © 2015 L´ aszl´ o Lengyel et al. Tis is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Te Internet of Tings (IoT) is transforming the surrounding everyday physical objects into an ecosystem of information that enriches our everyday life. Te IoT represents the convergence of advances in miniaturization, wireless connectivity, and increased data storage and is driven by various sensors. Sensors detect and measure changes in position, temperature, light, and many others; furthermore, they are necessary to turn billions of objects into data-generating “things” that can report on their status and ofen interact with their environment. Application and service development methods and frameworks are required to support the realization of solutions covering data collection, transmission, data processing, analysis, reporting, and advanced querying. Tis paper introduces the SensorHUB framework that utilizes the state-of-the-art open source technologies and provides a unifed tool chain for IoT related application and service development. SensorHUB is both a method and an environment to support IoT related application and service development; furthermore, it supports the data monetization approach, that is, provides a method to defne data views on top of diferent data sources and analyzed data. Te framework is available in a Platform as a Service (PaaS) model and has been applied for the vehicle, health, production lines, and smart city domains. 1. Introduction Te goal of the Internet of Tings (IoT) is to increase the connectedness of people and things. Te IoT is the net- work of physical things equipped with electronics, sofware, sensors, and connectivity that provides greater value and better service by exchanging data with the manufacturer, operator, and/or other connected devices. Each element of the network, that is, each thing, is uniquely identifable through its embedded computing system and is able to interoperate within the existing Internet infrastructure [1]. Tings in the IoT can refer to a wide variety of devices such as biochips on farm animals, heart monitoring implants, production line sensors in factories, vehicles with built-in sensors, or feld operation devices that assist frefghters [2]. Tese devices collect useful data with the help of vari- ous existing technologies, then autonomously fow the data between other devices, and usually upload them into a data center environment for further processing. Te IoT together with the collected and analyzed data can help consumers achieve goals by greatly improving their decision-making capacity via the augmented intelligence of the IoT. For businesses, the Internet of Business Tings helps companies achieve enhanced process optimization and efciency by collecting and reporting on data collected from the business environment. More and more businesses are adding sensors to people, places, processes, and products to gather and analyze information in order to make better decisions and increase transparency [3]. Various sensors drive the IoT ecosystems and make the things active elements. Tey are our eyes and ears to what is going on in the world. IoT sensors are also expected to generate large amounts of data from diverse locations and various domains; for example, weather, transportation, and communication data can be aggregated, analyzed, and utilized for support diferent felds, for example, smart city services [4]. Undoubtedly, the Internet of Tings has reached and is about to dominate several domains. Top industries investing in sensors and utilizing data collected by them are as follows (some of them are still in active research phase, because of Hindawi Publishing Corporation International Journal of Distributed Sensor Networks Volume 2015, Article ID 454379, 12 pages http://dx.doi.org/10.1155/2015/454379