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The use of LED-to-camera communication opens the door to a wide range of use cases and applications, with diverse requirements in terms of quality of service. However, while analytical models and simulation tools exist for all the major radio communication technologies, the only way of currently evaluating the performance of a network mechanism over LED-to-camera is to implement and test it. Our work aims to fill this gap by proposing a Markov-modulated Bernoulli process to model the wireless channel in LED-to-camera communications, which is shown to closely match experimental results. Based on this model, we develop and validate CamComSim, the first network simulator for LED-to-camera communications.
In this paper, we propose a line of sight LED-to-camera communication system based on a small color LED and a smartphone. We design a cheap prototype as proof of concept of a near communication framework for the Internet of Things. We evaluate the system performance, its reliability and the environment influence on the LED-to-camera communication, highlighting that a throughput of a few kilobits per second is reachable. Finally, we design a real time, efficient LED detection and image processing algorithm to leverage the specific issues encountered in the system.
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