TDOA based localization architecture for M2M communications over cellular networks

Sree Krishna Das; Md Farhad Hossain

doi:10.1109/ICECE.2018.8636755

TDOA based localization architecture for M2M communications over cellular networks

Sree Krishna Das
, Md Farhad Hossain

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

10 Citations (Scopus)

Abstract

In next generation cellular networks, machine to machine (M2M) communications is a promising technology. Localization is a fundamental problem in M2M communications, as unknown machine (UM) location information is essential for several prospectives, such as tracking, quality of service (QoS) and energy efficiency (EE). In this paper, we propose a time difference of arrival (TDOA) based localization architecture for M2M communications over cellular networks. A weighted least square (WLS) based algorithm is adopted in the proposed TDOA localization architecture. The algorithm estimates the location of UM using the TDOA from the location information of anchor machines (AMs). Simulation results show that the accuracy improves when the number of AM increases. Besides, localization accuracy with randomly distributed AMs is found better than that with AMs placed in a fixed pattern.

Original language	English
Title of host publication	ICECE 2018 - 10th International Conference on Electrical and Computer Engineering
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	333-336
Number of pages	4
ISBN (Electronic)	9781538674826
DOIs	https://doi.org/10.1109/ICECE.2018.8636755
Publication status	Published - 2 Jul 2018
Externally published	Yes
Event	10th International Conference on Electrical and Computer Engineering, ICECE 2018 - Dhaka, Bangladesh Duration: 20 Dec 2018 → 22 Dec 2018

Publication series

Name	ICECE 2018 - 10th International Conference on Electrical and Computer Engineering

Conference

Conference	10th International Conference on Electrical and Computer Engineering, ICECE 2018
Country/Territory	Bangladesh
City	Dhaka
Period	20/12/18 → 22/12/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Access to Document

10.1109/ICECE.2018.8636755

Cite this

Das, S. K., & Hossain, M. F. (2018). TDOA based localization architecture for M2M communications over cellular networks. In ICECE 2018 - 10th International Conference on Electrical and Computer Engineering (pp. 333-336). Article 8636755 (ICECE 2018 - 10th International Conference on Electrical and Computer Engineering). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICECE.2018.8636755

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title = "TDOA based localization architecture for M2M communications over cellular networks",

abstract = "In next generation cellular networks, machine to machine (M2M) communications is a promising technology. Localization is a fundamental problem in M2M communications, as unknown machine (UM) location information is essential for several prospectives, such as tracking, quality of service (QoS) and energy efficiency (EE). In this paper, we propose a time difference of arrival (TDOA) based localization architecture for M2M communications over cellular networks. A weighted least square (WLS) based algorithm is adopted in the proposed TDOA localization architecture. The algorithm estimates the location of UM using the TDOA from the location information of anchor machines (AMs). Simulation results show that the accuracy improves when the number of AM increases. Besides, localization accuracy with randomly distributed AMs is found better than that with AMs placed in a fixed pattern.",

keywords = "Machine to Machine (M2M) communications, RMSE, TDOA, TOA, UM",

author = "Das, \{Sree Krishna\} and Hossain, \{Md Farhad\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 10th International Conference on Electrical and Computer Engineering, ICECE 2018 ; Conference date: 20-12-2018 Through 22-12-2018",

year = "2018",

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doi = "10.1109/ICECE.2018.8636755",

language = "English",

series = "ICECE 2018 - 10th International Conference on Electrical and Computer Engineering",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

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booktitle = "ICECE 2018 - 10th International Conference on Electrical and Computer Engineering",

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Das, SK & Hossain, MF 2018, TDOA based localization architecture for M2M communications over cellular networks. in ICECE 2018 - 10th International Conference on Electrical and Computer Engineering., 8636755, ICECE 2018 - 10th International Conference on Electrical and Computer Engineering, IEEE, Institute of Electrical and Electronics Engineers, pp. 333-336, 10th International Conference on Electrical and Computer Engineering, ICECE 2018, Dhaka, Bangladesh, 20/12/18. https://doi.org/10.1109/ICECE.2018.8636755

TDOA based localization architecture for M2M communications over cellular networks. / Das, Sree Krishna; Hossain, Md Farhad.
ICECE 2018 - 10th International Conference on Electrical and Computer Engineering. IEEE, Institute of Electrical and Electronics Engineers, 2018. p. 333-336 8636755 (ICECE 2018 - 10th International Conference on Electrical and Computer Engineering).

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

TY - GEN

T1 - TDOA based localization architecture for M2M communications over cellular networks

AU - Das, Sree Krishna

AU - Hossain, Md Farhad

PY - 2018/7/2

Y1 - 2018/7/2

N2 - In next generation cellular networks, machine to machine (M2M) communications is a promising technology. Localization is a fundamental problem in M2M communications, as unknown machine (UM) location information is essential for several prospectives, such as tracking, quality of service (QoS) and energy efficiency (EE). In this paper, we propose a time difference of arrival (TDOA) based localization architecture for M2M communications over cellular networks. A weighted least square (WLS) based algorithm is adopted in the proposed TDOA localization architecture. The algorithm estimates the location of UM using the TDOA from the location information of anchor machines (AMs). Simulation results show that the accuracy improves when the number of AM increases. Besides, localization accuracy with randomly distributed AMs is found better than that with AMs placed in a fixed pattern.

AB - In next generation cellular networks, machine to machine (M2M) communications is a promising technology. Localization is a fundamental problem in M2M communications, as unknown machine (UM) location information is essential for several prospectives, such as tracking, quality of service (QoS) and energy efficiency (EE). In this paper, we propose a time difference of arrival (TDOA) based localization architecture for M2M communications over cellular networks. A weighted least square (WLS) based algorithm is adopted in the proposed TDOA localization architecture. The algorithm estimates the location of UM using the TDOA from the location information of anchor machines (AMs). Simulation results show that the accuracy improves when the number of AM increases. Besides, localization accuracy with randomly distributed AMs is found better than that with AMs placed in a fixed pattern.

KW - Machine to Machine (M2M) communications

KW - RMSE

KW - TDOA

KW - TOA

KW - UM

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M3 - Conference contribution

AN - SCOPUS:85062865054

T3 - ICECE 2018 - 10th International Conference on Electrical and Computer Engineering

SP - 333

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BT - ICECE 2018 - 10th International Conference on Electrical and Computer Engineering

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - 10th International Conference on Electrical and Computer Engineering, ICECE 2018

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ER -

Das SK, Hossain MF. TDOA based localization architecture for M2M communications over cellular networks. In ICECE 2018 - 10th International Conference on Electrical and Computer Engineering. IEEE, Institute of Electrical and Electronics Engineers. 2018. p. 333-336. 8636755. (ICECE 2018 - 10th International Conference on Electrical and Computer Engineering). doi: 10.1109/ICECE.2018.8636755

TDOA based localization architecture for M2M communications over cellular networks

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