Minimizing Mobile Location Error Based on Hybrid ToA-CTA for Heterogeneous Network

Authors

  • S. Bohanudin Department of Electrical Engineering, Politeknik Sultan Salahuddin Abdul Aziz Shah, Shah Alam, 40150 Selangor, Malaysia。 Department of Electrical, Electronic and System Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Selangor, Malaysia.
  • M. Ismail Department of Electrical, Electronic and System Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Selangor, Malaysia.
  • M. Abdullah Department of Electrical, Electronic and System Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Selangor, Malaysia.
  • F. Adlan Department of Electrical Engineering, Politeknik Sultan Salahuddin Abdul Aziz Shah, Shah Alam, 40150 Selangor, Malaysia

Keywords:

Localization Error, ToA, Heterogeneous Network, Centroid Triangular Algorithm?

Abstract

In wireless localisation, time-based Location Determination Technology (LDT) with minimum error is one of the crucial techniques that can be used to improve resource management and quality of services. This study aims to improve the location accuracy of mobile user by using a hybrid timebased LDT. In this paper, minimising of the mobile estimation location error by using hybrid trilateration technology based on Time of Arrival (ToA) and Centroid Triangular Algorithm (CTA) has been discussed. It has been observed that this hybrid technique can be considered as an optimal solution for minimising the localisation error of mobile user which is located in a vicinity of the heterogeneous network environment. Based on simulations, the constructed model has resulted in a better location error distribution, and the localisation error can be minimised and satisfied the E911 requirements.

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Published

2018-08-28

How to Cite

Bohanudin, S., Ismail, M., Abdullah, M., & Adlan, F. (2018). Minimizing Mobile Location Error Based on Hybrid ToA-CTA for Heterogeneous Network. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(3), 97–102. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3552

Issue

Vol. 10 No. 3: July - September 2018

Section

Articles

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