A Taxonomy and Survey of IoT Cloud Applications
Journal Title: EAI Endorsed Transactions on Internet of Things - Year 2017, Vol 3, Issue 12
Abstract
Internet of Things (IoT) systems are realized by dynamic global network infrastructure with self-configuring capabilities, in which things can interact and communicate in the environment through the Internet by exchanging sensor data, and react autonomously to events generally without direct human intervention. Such systems can be utilized in many application areas, thus they may have very di erent properties. There is a growing number of cloud providers o ering IoT-specific services, since cloud computing has the potential to satisfy IoT needs such as standardizing the custom data structures of the devices, processing and visualization tasks. IoT application developers do not only have to decide which cloud provider to use, but they also have to choose which combination of protocols and data structures best fits their application. As a result, it is necessary to know what properties these systems have and to learn to what extent cloud providers support IoT capabilities. In this paper, we address these issues and investigate 23 IoT cloud use cases and perform a detailed classification of them in a survey, and introduce a taxonomy of IoT application properties based on this survey. We also compare current cloud providers supporting IoT capabilities and gather requirements for IoT device simulation to support further research on IoT application development.
Authors and Affiliations
T. Pflanzner, A. Kertesz
Keywords
Related Articles
- EP ID EP46605
- DOI http://dx.doi.org/10.4108/eai.6-4-2018.154391
- Views 284
- Downloads 0
Experiments of An active electrode amplifier using SIP with DC rejection for bio-potential recording
We present a bioelectric amplifier with SIP for active electrode in this paper .The mid-band gain of the amplifier is 39.95dB.The bandwidth extends from a low frequency cutoff of 7.9mHz to a high frequency cutoff of 2.1k...
An iterative Power Allocation Alogrithm for Energy Efficiency Optimization in Massive MIMO Systems
In this paper, a transmitting power allocation strategy for users jointed together pre-coding is presented to eliminate inter-users interference and improve the energy efficiency of Massive MIMO systems. The power alloca...
WE-Harvest: A Wearable Piezoelectric-Electromagnetic Energy Harvester
Wearable electronics require a sustainable electrical power supply to operate. Energy harvesting techniques can be used to convert available nonelectrical energy sources into electrical energy. This paper presents WE-Har...
Semantic Interoperable Traffic Management Framework for IoT Smart City Applications
Real-time traffic monitoring and controlling are one of the biggest problems in this present living world. So many researchers have dealt with and put their effort into this problem, as a result, several types of approac...
Securing the Timestamping of Sensor Data from Wearable Healthcare Devices
An ageing population, coupled with increasing prevalence of chronic diseases, is placing unsustainable demands on current healthcare systems. Home-based medical monitoring, supported by wearable sensors for heart-rate, E...