Design and evaluation of mission-oriented sensing platform with military analogy

Abstract

The purpose of this paper is to perform large-scale environmental sensing with a lot of IoT devices, as typically seen in Smart City, efficiently and for multiple applications. In this paper, we propose a novel sensing method, called mission oriented sensing, which accepts multiple and dynamic sensing purposes on a single infrastructure. Design/methodology/approach The proposed method achieves the purpose by dealing sensing configuration (application's purpose) as mission. It realizes sharing single infrastructure by accepting multiple missions in parallel, and it accepts missions' update anytime. In addition, the sensing platform based on military analogy can command and control a lot of IoT devices in good order, and this realizes mission oriented sensing above. Findings Introducing mission oriented sensing, multiple purpose large-scale sensing can be conducted efficiently. The experimental evaluation with a prototype platform shows the practical feasibility. In addition, the result shows that it is effective to update sensing configuration dynamically. Research limitations/implications The proposed method focuses aggregating environmental sensor value from a lot of devices, and thus it can treat stream data such as video or audio or control a specific device directly. Originality/value In proposed method, a single sensing infrastructure can be used by multiple applications, and it admits heterogeneous devices in a single infrastructure. In addition, the proposed method has less technical restriction and developers can implement actual platform with technologies for context.

MQTT of IoT Classification in Energy Saving

“…It was introduced by Amazon in 2007 as a non-relational database which managed unstructured big data. NoSQL is newly used in some special IoT applications such as MongoDB and Redis [4,8,14,17,19,28,33]. NoSQL has some benefits to enhance IoT applications.…”