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We are using only 3 access points to obtain the (x,y) coordinate values/location of the mobile device. The more available access points, the more accurate the location reading will be. All of the quantified location coordinates are saved and the location of the each Node is obtained. The access point’s MAC address is compared against a database of known access point locations. The Nodes will scan all known access points that in range and determine the signal strength in dBm (or dBmW) and get there respective MAC address. The Mobile Nodes will have featured Wi-Fi capabilities and the processing power to deliver accurate results. To minimize fluctuations in the received signal, there are certain techniques that can be applied to filter the noise. The possible signal fluctuations that may occur can increase errors and inaccuracies in the path of the user. The accuracy depends on the number of positions that have been entered into the database.

Typical parameters useful to geo-locating the Wi-Fi hotspot or wireless access point include the SSID and the MAC address of the access point. The localization technique used for positioning with wireless access points is based on measuring the intensity of the received signal strength (RSSI).

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Unlike other wireless technologies such as Bluetooth, Wi-Fi incorporates signal strength functions into all the firmware drivers and Application Programming Interfaces (APIs) which are defined by the manufacturers and backed by IEEE.2 This feature will provide a large benefit when using Wi-Fi to determine a location based on signal strength triangulation. broadcast at the 2.4 GHz frequency, allowing for signals to more easily travel through obstructions like doors and walls. The majority of today’s smart phones also have Wi-Fi connectivity. The advantage of choosing Wi-Fi for a location based service is its high compatibility and frequency of availability. Such systems include indoor positioning systems. Wi-Fi-based positioning system (WPS) is used where GPS is inadequate due to various causes including multipath and signal blockage indoors.

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The comparison between using J2ME and Android as a Proposed software and the results are effectively shown. Used to automate tasks related to creation and testing of the The client side deviceĪt the customer end passes the credit card details throughīluetooth to the server side device with the retailer. A secure client-server relationship isĮstablished between two mobile devices. Mobile devices limited by memory, power consumption andĬonnectivity, and JSR82 (Java Specification Requests 82:īluetooth API). Proposed method is KVM, an optimized Virtual Machine for

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Life, the proposed software can be easily adapted at various With the extensive use of mobileĭevices and proliferation of wireless technology in day-to-day Micro Edition to develop a credit card number verification

Abstract- This paper describes the use of Java 2 Platform,

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