MODE: A Context-Aware IoT Middleware Supporting On-Demand Deployment for Mobile Devices

Wei He, Jingbin Zhang, Meng Ma, Ping Wang

Abstract: With the development of Internet of Things (IoT), various mobile sensing devices emerge in the market, which brings great convenience to people's life. Middleware, as the connection platform of sensors and applications, has become increasingly important to solve the problem caused by diverse devices and changing environments. In this paper, we proposed MODE, a middleware that can dynamically change its deployment of function modules based on context awareness to adapt to environment changes. As a highly scalable middleware, MODE not only has basic tasks, but also provides developers with user-specific tasks, based on a highly-abstracted scripting language, which supports the application development in different scenarios and improves the efficiency. Besides, we design various function libraries in MODE that developers can load or unload them dynamically. MODE improves the efficiency, adaptability and scalability of IoT systems and applications.