Sensors data collection architecture in the Internet of Mobile Things as a service (IoMTaaS) platform

Smart object interconnected between each other and producing a large volume of information in Internet of Mobile Things (IoMT) is a huge challenge. The things that we expect to connect to the Internet will consist of sensors, actuators with information processing and communication capabilities that will make themselves intelligent. Sensors are collecting continuously environmental data (e.g. body area network, smart city, cars, smartphones, etc.). We used Arduino, XBee, Raspberry Pi 3 and open source software for framework design. This architecture process real-time data and maximize the delivery of raw data to the cloud for post processing. It also ensure efficient event-driven data collection given the buffer space and communication bandwidth limitations of each sensor. An intelligent IoMT gateway and middleware used to support different message format of sensor data and efficient decision-making system. We also propose an Android data collection system where data collectors are smartphones. This paper defines a data collection architecture supporting the physical dimension of sensors to the storage of data in a cloud-based service. This class of architecture must tackle several challenges, e.g., buffer management, sensor message ordering, data alignment for multiple temporal data streams, data storage, sensor heterogeneity, high throughput and avoiding processing bottlenecks. For the issues of an extended advancement cycle, poor transportability and high-chance in the improvement procedure of ZigBee remote system, presents the Unified Modeling Language (UML) to institutionalize the advancement procedure, enhancing improvement productivity and guaranteeing item quality.