Algorithm and IoT

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IoT has broad coverage from personal networks or home networks to medium/large scale networks such as WAN/5G. IoT devices are vastly differentiated and vary with respect to computation power, communication, and networking capability, as well as battery life. Despite their differences, IoT applications have the common fundamental problems that need to be addressed by the proper algorithms within certain context. For example, the algorithms of scheduling, optimization, flow control, and area coverage have a broad application in IoT for purposes such as resource access, networking, collaboration, and management.

IoT being the revolutionary concept in itself, is one of the driving forces behind the massive data generation which is not only going to flood the digital space but also going to require intelligent algorithms to extract the important insights from them.

IoT has been changing the way predictive maintenance is done. One can now have real-time monitoring devices at a low cost that send data to an algorithm on a continuous basis. With the added power of Machine Learning, it can detect whether there is something going wrong with a machine… make a prediction – Predictive Maintenance. Real-time sensors installed on equipment provide real-time data that can be fed into predictive models to help determine when something is about to fail or what the remaining useful life is for that equipment. One can schedule maintenance based on that data.