Design and Evaluation of Mission-Oriented Sensing Platform with Military Analogy

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Abstract

Purpose: The purpose of this paper is to perform large-scale environmental sensing with a lot of Internet of Things (IoT) devices, as typically seen in a 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 a 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.

Journal

  • International Journal of Pervasive Computing and Communications

    International Journal of Pervasive Computing and Communications 13(1), 76-91, 2017

    Emerald

Codes

  • NII Article ID (NAID)
    120006624223
  • Text Lang
    ENG
  • Article Type
    journal article
  • ISSN
    1742-7371
  • Data Source
    IR 
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