AI Bibliography
AI Bibliography |
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Raglin, A., Metu, S., Russell, S., & Budulas, P. 2017, Implementing internet of things in a military command and control environment. Paper presented at Next-Generation Analyst V. |
| Resource type: Proceedings Article BibTeX citation key: Raglin2017 View all bibliographic details  |
Categories: Cognitive Science, Complexity Science, Computer Science, Data Sciences, Decision Theory, Engineering, General, Military Science Subcategories: Augmented cognition, Big data, Command and control, Decision making, Human decisionmaking, Human factors engineering, Internet of things Creators: Budulas, Metu, Raglin, Russell Publisher: SPIE Collection: Next-Generation Analyst V |
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| Abstract |
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While the term Internet of Things (IoT) has been coined relatively recently, it has deep roots in multiple other areas of research including cyber-physical systems, pervasive and ubiquitous computing, embedded systems, mobile ad-hoc networks, wireless sensor networks, cellular networks, wearable computing, cloud computing, big data analytics, and intelligent agents. As the Internet of Things, these technologies have created a landscape of diverse heterogeneous capabilities and protocols that will require adaptive controls to effect linkages and changes that are useful to end users. In the context of military applications, it will be necessary to integrate disparate IoT devices into a common platform that necessarily must interoperate with proprietary military protocols, data structures, and systems. In this environment, IoT devices and data will not be homogeneous and provenance-controlled (i.e. single vendor/source/supplier owned). This paper presents a discussion of the challenges of integrating varied IoT devices and related software in a military environment. A review of contemporary commercial IoT protocols is given and as a practical example, a middleware implementation is proffered that provides transparent interoperability through a proactive message dissemination system. The implementation is described as a framework through which military applications can integrate and utilize commercial IoT in conjunction with existing military sensor networks and command and control (C2) systems.
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