Indoor localization for IoT applications using fingerprinting

@article{Fonseka2018IndoorLF,
  title={Indoor localization for IoT applications using fingerprinting},
  author={Priyath Fonseka and Kumbesan Sandrasegaran},
  journal={2018 IEEE 4th World Forum on Internet of Things (WF-IoT)},
  year={2018},
  pages={736-741}
}
Fingerprinting method is one of the preferred method used for indoor localization using Wi-Fi signals because of its low complexity and its cost effectiveness. This paper proposes an indoor localization algorithm using fingerprinting method that is suitable for an indoor IoT application. The proposed algorithm combines the location estimates from two different approaches, deterministic and probabilistic, to estimate the target location. The proposed algorithm was tested for different conditions… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-4 OF 4 CITATIONS

Indoor Intelligent Campus Localization Using Wireless Signal Based On Wap

Sumeet Pate, Vrushali Ananta Pandit, Pallavi Sudhir Pagare, Prabodhan Suresh Bhalerao
  • 2019
VIEW 4 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

IoT Driven Ambient Intelligence Architecture for Indoor Intelligent Mobility

  • 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)
  • 2018
VIEW 1 EXCERPT
CITES BACKGROUND

References

Publications referenced by this paper.
SHOWING 1-10 OF 11 REFERENCES

Survey of Wireless Indoor Positioning Techniques and Systems

  • IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
  • 2007
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Weight adjust algorithm in indoor fingerprint localization

  • 2012 6th International Conference on Signal Processing and Communication Systems
  • 2012
VIEW 2 EXCERPTS

A practical path loss model for indoor WiFi positioning enhancement

  • 2007 6th International Conference on Information, Communications & Signal Processing
  • 2007
VIEW 1 EXCERPT

Properties of indoor received signal strength for WLAN location fingerprinting

  • The First Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, 2004. MOBIQUITOUS 2004.
  • 2004
VIEW 3 EXCERPTS