Enhanced ranging using adaptive filter of ZIGBEE RSSI and LQI measurement

  • Authors:
  • Sharly Joana Halder;Tae Young Choi;Jin Hyung Park;Sung Hun Kang;Sin Woo Park;Joon Goo Park

  • Affiliations:
  • Kyungpook National University;Kyungpook National University;Kyungpook National University;Kyungpook National University;Kyungpook National University;Kyungpook National University

  • Venue:
  • Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
  • Year:
  • 2008

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Abstract

The wireless sensor network is an emerging technology that may greatly facilitate human life by providing ubiquitous sensing, computing, and communication capability. To be context-aware, one of the central issues in sensor networks is location tracking. The accurate location of objects in indoor environments is a key aspect of many applications such as resource management or security. Ubiquitous indoor environments often contain substantial amounts of metal and other such reflective materials that affect the propagation of radio frequency signals in non-trivial ways, causing severe multi-path effects, dead-spots, noise, and interference. This scheme is presenting a cheap and enhanced ranging technique rather than other existing technique by making a fusion of RSSI and LQI that is particularly well suited to support context-aware computing. The aim of the proposed system is to provide a low cost, simple technique based on RSSI and LQI values, provided by the ZigBee module, which also without considering any needs to change the system according to specific indoor environments. This paper considers the issues of a user's privacy, security, and an accurate and robust indoor RF location. The analytical results demonstrate the efficiency of the proposed RF-based indoor location determination.