This paper explores the enhancement of organizational value chains through the implementation of Distributed Sensor Networks (DSNs) within the context of the Internet of Things (IoT). The study begins by establishing the significance of DSNs in facilitating automated data collection and analysis, which are crucial for improving operational efficiency and decision-making processes. A systematic literature review (SLR) was conducted, focusing on the implementation of distributed sensors, networks, devices, and their impact on various value chains. Key findings reveal that advancements in sensor technology, including low-power consumption strategies and predictive modelling capabilities, significantly contribute to optimizing value chains. The research identifies adaptive sampling and energy harvesting as effective methods for prolonging sensor battery life and reducing power consumption, which improves overall system performance. Furthermore, the paper discusses the importance of addressing challenges related to data security and reliability to fully leverage the potential of DSNs. The study concludes by emphasizing the need for future research to explore the integration of IoT technologies with Blockchain to enhance data interoperability and security. The study also highlights the potential for tailored applications of sensor technologies across different value chain segments, ultimately advocating for continuous improvement of sensor hardware and software to foster sustainable practices and maintain cutting-edge technology in an ever-evolving landscape.

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The Improvement of Organizational Value Chains Using Distributed Sensor Networks

  • C. Atsango,
  • J. P. van Deventer

摘要

This paper explores the enhancement of organizational value chains through the implementation of Distributed Sensor Networks (DSNs) within the context of the Internet of Things (IoT). The study begins by establishing the significance of DSNs in facilitating automated data collection and analysis, which are crucial for improving operational efficiency and decision-making processes. A systematic literature review (SLR) was conducted, focusing on the implementation of distributed sensors, networks, devices, and their impact on various value chains. Key findings reveal that advancements in sensor technology, including low-power consumption strategies and predictive modelling capabilities, significantly contribute to optimizing value chains. The research identifies adaptive sampling and energy harvesting as effective methods for prolonging sensor battery life and reducing power consumption, which improves overall system performance. Furthermore, the paper discusses the importance of addressing challenges related to data security and reliability to fully leverage the potential of DSNs. The study concludes by emphasizing the need for future research to explore the integration of IoT technologies with Blockchain to enhance data interoperability and security. The study also highlights the potential for tailored applications of sensor technologies across different value chain segments, ultimately advocating for continuous improvement of sensor hardware and software to foster sustainable practices and maintain cutting-edge technology in an ever-evolving landscape.