A wireless access point (WAP) which also known as hotspot is a hardware device or configured node on a local area network (LAN) that allows wireless capable devices and wired networks to connect through a wireless standard, including Wi-Fi or Bluetooth.

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CHAPTER 1: INTRODUCTION

A wireless access point (WAP) which also known as hotspot is a hardware device or configured node on a local area network (LAN) that allows wireless capable devices and wired networks to connect through a wireless standard, including Wi-Fi or Bluetooth. WAPs feature radio transmitters and antennae, which facilitate connectivity between devices and the Internet or a network.

An access point connects to a wired router, switch, or hub via an Ethernet cable, and projects a Wi-Fi signal to a designated area. For example, if you want to enable Wi-Fi access in your company's reception area but don’t have a router within range, you can install an access point near the front desk and run an Ethernet cable through the ceiling back to the server room.

Wireless access points are most commonly thought of in the context of the 802 series of wireless standards, commonly known as Wi-Fi. While there are other wireless standards, the vast majority of the time the terms Wi-Fi hotspot and WAP are synonymous.

Fuzzy Logic is one of the estimation or many value logics. In traditional, the binary only has true or false (0 or 1). Which in some cases it is not suitable to be used such as partial agree or disagree (nor exactly but partial). It’s have several option or decision can be done.

It is based on the observation that people make decisions based on imprecise and non-numerical information, fuzzy models or sets are mathematical means of representing vagueness and imprecise information, hence the term fuzzy. These models have the capability of recognizing, representing, manipulating, interpreting, and utilizing data and information that are vague and lack certainty.[

Fuzzy Logic Toolbox™ provides MATLAB® functions, apps, and a Simulink® block for analysing, designing, and simulating systems based on fuzzy logic. The product guides you through the steps of designing fuzzy inference systems. Functions are provided for many common methods, including fuzzy clustering and adaptive neuro fuzzy learning.

The toolbox lets you model complex system behaviours using simple logic rules, and then implement these rules in a fuzzy inference system. You can use it as a stand-alone fuzzy inference engine. Alternatively, you can use fuzzy inference blocks in Simulink and simulate the fuzzy systems within a comprehensive model of the entire dynamic system.

       MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment .      MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, C#, Java, Fortran and Python.

       Although MATLAB is intended primarily for numerical computing, an optional toolbox uses the MuPAD symbolic engine, allowing access to symbolic computing abilities. An additional package, Simulink, adds graphical multi-domain simulation and model-based design for dynamic and embedded systems

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