Random Forest Learning Based Indoor Localization as an IoT Service for Smart Buildings
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Random Forest Learning Based Indoor Localization as an IoT Service for Smart Buildings Pothuri Surendra Varma1 · Veena Anand1 Accepted: 11 November 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract More buildings are becoming smart day by day which play a key role in development of smart cities and Internet of Things is essential in the development of such smart buildings. The incorporation of smart infrastructure is taken care right from the design phase of smart buildings itself. One of the crucial smart infrastructures in the development of smart buildings and smart cities is indoor localization. Being aware of the location or movement of people within a building can be very useful in several ways like energy management, location aware marketing services etc. and there are so many such IoT services. So the research problem here is to locate people within a building without using any additional infrastructure. Many research proposals have already been made over the last few years with the goal of predicting location in smart buildings but the real challenge lies with the accuracy of predicted location. User privacy and energy efficiency are also major challenges of indoor localization. Here we propose a random forest based machine learning algorithm that concentrates on improving the location accuracy in indoor localization as an IoT service for smart buildings. The obtained experimental results show 14% better success test prediction percentage in terms of overall deviation. Keywords Random forest · Indoor localization · IoT · Smart buildings · Smart cities
1 Introduction Digital and Communication Technology is changing our cities and our every day routine by targeting at a more comfortable and convenient way of living. Cities are becoming well adapted to digital technology which is solving most of the urban problems, and in other words we can say cities are becoming smart. Smart cities are not limited to incorporating only digital, communication and information technology, but also taking care about sustainability, energy management, feasibility and making every smart service worthwhile using. One of the major components that * Pothuri Surendra Varma [email protected] Veena Anand [email protected] 1
National Institute of Technology Raipur, Raipur, Chhattisgarh, India
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influence the growth of smart cities is smart buildings and Internet of Things plays a key role in developing smart buildings. Introducing Internet of Things in a building gives space to analyze the environment and make real time adjustments to increase efficiency. For Example: An anti theft device in a retail store which gives a warning signal when an unbilled product crosses the exit barrier can save a lot of time when compared with the conventional method which required every product to be checked manually at the exit. In a similar way there are many IoT applications which can be deployed into a building to save time, manage power consum
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