Real-time Context-aware Learning System for IoT Applications

We propose a real-time context-aware learning system along with the architecture that runs on the mobile devices, provide services to the user and manage the IoT devices. In this system, an application running on mobile devices collected data from the sensors, learned about the user-defined context, made predictions in real-time and manage IoT devices accordingly. However, the computational power of the mobile devices makes it challenging to run machine learning algorithms with acceptable accuracy. To solve this issue, some authors have run machine learning algorithms on the server and transmitted the results to the mobile devices. Although the context-aware predictions made by the server are more accurate than their mobile counterpart, it heavily depends on the network connection for the delivery of the results to the devices, which negatively affects real-time context-learning. Therefore, in this work, we describe a context-learning algorithm for mobile devices which is less demanding on the computational resources and maintains the accuracy of the prediction by updating itself from the learning parameters obtained from the server periodically. Corresponding author Email address: das.bhaskar.1981@gmail.com, Keywords: Mobile computing, Context-aware Applications, Real-time System, Context learning, Cloud Computing 1. Introduction The Internet of Things (IoT) is a vision where everyday devices embedded with computing technology can communicate with one another via the Internet. The IoT devices will play an important role in improving quality of life in many domains such as smart living, transportation, education, agriculture, industry, and the like. By 2020, approximately 212 billion devices will be deployed globally [1] and will consume 45% of the internet traffic by 2022 [2]. IoT-related healthcare industry is expected to grow to $1.1 - $2.5 trillion by 2025 globally [3], and according to "Navigant Research", the building automation systems market is expected to reach $102.0 billion in 2025. Due to the technological advancement of the mobile devices, a new application domain has emerged, called context-aware computing, in which the system can make use of environmental information from collected sensor data and respond accordingly without requiring any user intervention [5].