Fusion of Information in Indoor Localization Techniques

Authors

  • P. Kanakaraja Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Greenfields, Vaddeswaram, A.P, India, 522502 https://orcid.org/0000-0003-4212-3669
  • Sarat K Kotamraju Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Greenfields, Vaddeswaram, A.P, India, 522502
  • K Ch Sri Kavya Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Greenfields, Vaddeswaram, A.P, India, 522502 https://orcid.org/0000-0003-0485-3089

DOI:

https://doi.org/10.13052/jmm1550-4646.1847

Keywords:

RSS FingerPrinting, AOA, TDOA, IMU Sensors, Bluetooth, Wi-Fi

Abstract

In this work, a study of location systems in indoor environments is carried out, starting with the measurement techniques used, the different types of methodologies that can be applied to obtain the position of a device, and the technologies most used to solve these kinds of problems. Lately, it has been an expansion in utilizing location-based services, which builds the investigation of this framework. Also, while the outdoor location is substantially more progressed, the indoor location is continually under audit and, by its inclination, requires a lot tighter precision. The indoor environment can lead the communication from global navigation system and GPS system. The ultrawide band and WLAN techniques are many communication protocols those applications need proper techniques to guide indoor environment. The main objective of this article is based on making a review of the state of the art of location systems in indoor environments, analysing the strengths and weaknesses of existing systems and analysing the possibility of proposing, from a theoretical point of view, the use of information fusion techniques to improve existing systems. Specifically, the possibility of using a system architecture in which several technologies are merged to achieve a more precise result will be analysed. To compare various existing Indoor Navigational methods advantages, disadvantages, and applications. All proposed Indoor Methods based on the requirement the user utilizes required localization techniques. This article mainly focuses on sensor fusion techniques. Moreover, this research introduces an architecture with different layers based on sensor fusion techniques to smooth indoor navigations. The novel methodology providing efficient outcomes like sensitivity 98.34%, accuracy 97.89%, Recall 96.78% and F measure 96.73%.

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Author Biographies

P. Kanakaraja, Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Greenfields, Vaddeswaram, A.P, India, 522502

P. Kanakaraja is working in Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India. His research area is medical images and GPS node localization techniques had 22 Scopus publications.

Scopus id: https://www.scopus.com/authid/detail.uri?authorId=57209467515

Sarat K Kotamraju, Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Greenfields, Vaddeswaram, A.P, India, 522502

Sarat K. Kotamraju, Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India. His research area is wireless communication and thermal image processing. He has 85 Scopus publications in various wireless and medical image applications.

Scopus id https://www.scopus.com/authid/detail.uri?authorId=57205265691

K Ch Sri Kavya, Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Greenfields, Vaddeswaram, A.P, India, 522502

K. Ch Sri Kavya, Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India. She has 74 Scopus publications and her research area is micro wave applications, IoT, MEMS applications.

Scopus id: https://www.scopus.com/authid/detail.uri?authorId=57220043625

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Published

2022-03-16

How to Cite

Kanakaraja, P. ., Kotamraju, S. K. ., & Kavya, K. C. S. . (2022). Fusion of Information in Indoor Localization Techniques. Journal of Mobile Multimedia, 18(04), 1099–1130. https://doi.org/10.13052/jmm1550-4646.1847

Issue

Section

Enabling AI Technologies Towards Multimedia Data Analytics for Smart Healthcare