An Integration of IoT and Mixed Reality Using Fog Computing Concepts




Sugumar Sunthar Jesudian, Jeschel Jabez

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<p>Internet of Things (IoT) applications require low latency for maintaining a steady, close to real-time environment. Latency sensitive IoT applications include monitoring, collecting sensor data, controlling actuators based on sensor data. The current trend for IoT computations depends on cloud computing. In this architecture data from IoT device is processed and controlled by service-based cloud platform providers. These providers are expensive and require high bandwidth for data heavy and low latency operations.</p> <p>The proposed solution leverages Fog computing concepts; Fog computing is an extended cloud computing service brought closer to the edge of a company’s network. Low latency for actuator control is achieved by processing data at the network edge before the data is uploaded to the cloud. This reduces the load on the cloud, which in turn, increases cost efficiency by utilizing fewer cloud services. This concept is applicable for a wide range of applications including industrial IoT, automation systems, and human-machine interface. One such use is Integration of IoT and Augmented Reality which is particularly sensitive to latency.</p>



Internet of Things, IoT, IoT server, Mixed reality, Microsoft HoloLens., Augmented reality


Sugumar Sunthar Jesudian, J. J. (2018). <i>An integration of IoT and mixed reality using fog computing concepts</i> (Unpublished thesis). Texas State University, San Marcos, Texas.


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