A framework for a multisensory iot system based on service-oriented architecture

Multisensory IoT system contains multiple types of sensors, actuators, and computation devices. In this kind of system, providing different viewpoints of observations by heterogenous sensors such as RGB camera and wearable sensors can improve the performance of intelligent systems. The issues of building this system are that we have many components running on different platforms and implementing with different programming languages. It causes the complexity of architecture design, interoperability of components, and portability and also limits the system scalability. Therefore, we propose a reference design which is based on service-oriented architecture for alleviating these issues. We also present a case study of system prototyping which is constructed by adopting an RGB camera and smart insoles to create an identity recognition system.