Computational Intelligence for IoT and Smart Home Based on Piezo-Electric Sensors and Fuzzy Logic

In this chapter, the problem of creating computational intelligence solutions for IoT and Smart Home tasks is considered. Firstly, the cross-layered design model for Smart Home and Smart Office, as well as the associated standards and protocols, is considered. The main criteria for the efficiency of using different approaches in Smart Home standards, as well as their compatibility, are also discussed. The possibilities of forming intelligent Smart Home systems are considered in two main important aspects: the use of suitable new types of temperature and pressure piezo-sensors based on Zirconate-Titanate compounds and the solving of fuzzy logic tasks using novel types of membership functions, such as root-polynomials. Both local and cloud realizations of the proposed fuzzy-logic control system for IoT, Smart Office, and Smart Home applications are possible. The main advances of the proposed system are its low costs, the application of effective and cheap piezo-sensors, its low consumption of energy, and the advanced approach of using root-polynomial membership functions in the digital control system of Smart House. Corresponding computer software for getting information from sensors and for calculating the coefficients of membership root-polynomial functions has been elaborated using the advanced mathematical and graphic libraries of the Python interpreter for solving scientific tasks, which are located manually in the virtual environment of a local computer.