Smart Home Security System using Fuzzy Logic

Wireless sensor network (WSN) brings a new paradigm of real-time embedded systems with limited computation, communication, memory, and energy resources that are being used fora huge range of applications. Clustering in WSNs is an effective way to minimize the energy consumption of sensor nodes. In this paper improvements in various parameters are compared for three different routing algorithms. First, it is started with Low Energy Adaptive Cluster Hierarchy (LEACH)which is a famed clustering mechanism that elects a CH based on the probability model. Then, work describes a Fuzzy logic system initiated CH selection algorithm for LEACH. Then Artificial Bee Colony (ABC)which is an optimisation protocol owes its inspiration to the exploration behaviour of honey bees. In this study ABC optimization algorithm is proposed for fuzzy rule selection. Then, the results of the three routing algorithms are compared with respect to various parameters.

Security is regarded as a key concern of home automation systems since it ensures the resident's comfort and well-being. As crime is piling up rapidly in today's culture, home defense devices are very important. With the advent of innovative technology in recent years, homeowners can go outside the home with relief as modern home security systems offer ample protection against burglars, fire, smoke, etc. This article implements a smart protection box for legitimate personnel that can help to notify when an unapproved user tries to infringe the security of necessary materials inside the box for taking immediate actions. Two other main aspects of this smart security box, along with the upgraded security features are affordability and accessibility. This low-priced, low-power enabled the smart security box based on empirical research, is found to be durable and reliable in detecting and providing legal customers with security violation notifications. This forthcoming smart security box can detect security breaches with the highest accuracy of 100% if proper light facilities can be arranged along with the warning SMS transmission within 800 milliseconds. This low-cost device has been built for only 62.5$ and can be commercially exploited for smart security technologies in the local and foreign markets.

The main purpose of this article is to present and explore potential applications in marketing administration related to pricingstrategyusingfuzzylogic. Considering the new trends in consumer behavior in Brazil's economy and the consistent growth of C and D social classes an application was developed by the authors to better understand and adjust pricing strategies: The Think Fuzzy System that combines fuzzy logic (COPPE Cosenza Model), and some other related strategic concepts, supported by mathematical microeconomic modeling, utility factor, indifference curves and an experiential hierarchic clustering model.

In this paper, a novel robust adaptive type-2 fuzzy nonsingular sliding mode controller is proposed to stabilize the unstable periodic orbits of uncertain perturbed chaotic system with internal parameter uncertainties and external disturbances. This letter is assumed to have an affine form with unknown mathematical model, the type-2 fuzzy system is used to overcome this constraint. A global nonsingular terminal sliding mode manifold is proposed to eliminate the singularity problem associated with normal terminal sliding mode control. The proposed control law can drive system tracking error to converge to zero in finite time. The adaptive type-2 fuzzy system used to model the unknown dynamic of system is adjusted on-line by adaptation law deduced from the stability analysis in Lyapunov sense. Simulation results show the good tracking performances, and the efficiently of the proposed approach.