APPLICABILITY OF BIG DATA TECHNIQUES TO SMART CITIES DEPLOYMENTS

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IEEE 2017-2018 ECE EMBEDDED PROJECTS BANGALORE IEEE Matlab Projects|Authentication and Security|BigData|Electrical Interfacing|GSM and GPS|IEEE 2017-2018 ECE EMBEDDED PROJECTS BANGALORE EMBEDDED iBeacon|IEEE 2017-2018 ECE EMBEDDED PROJECTS BANGALORE Internet of Things [IOT]|ECE LEAP Motion|LiFi - Light Communication|Raspberry Pi

APPLICABILITY OF BIG DATA TECHNIQUES TO SMART CITIES DEPLOYMENTS

This project proposes an active RFID-based indoor positioning system (IPS) for an industrial environment. The system is quite similar to Global positioning system (GPS). However, GPS can only work if the device is discovered by satellite. This work is to overcome the weakness of GPS capability for tracking an object that did not receive a satellite signal. The methods, technique and technology of tracking system have also been proposed. However, the work mostly focuses on Time of Arrival (ToA) and Received Signal Strength Indicator (RSSI) technique. Each technique has their own deficiency. Several step is done such as relate both methods to overcome that deficiency. Ultra-High Frequency (UHF) RFID are used in this development of IPS.

  • PIC16F877A
  • ACTIVE RFID READER
  • RFID TAG
  • IoT
  • LCD
  • STEP DOWN TRANSFORMER
  • MPLAB_IDE
  • EMBEDDED C
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