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 BookConference contributionpeer-review

8 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 languageEnglish
Title of host publicationICECE 2018 - 10th International Conference on Electrical and Computer Engineering
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages333-336
Number of pages4
ISBN (Electronic)9781538674826
DOIs
Publication statusPublished - 2 Jul 2018
Externally publishedYes
Event10th International Conference on Electrical and Computer Engineering, ICECE 2018 - Dhaka, Bangladesh
Duration: 20 Dec 201822 Dec 2018

Publication series

NameICECE 2018 - 10th International Conference on Electrical and Computer Engineering

Conference

Conference10th International Conference on Electrical and Computer Engineering, ICECE 2018
Country/TerritoryBangladesh
CityDhaka
Period20/12/1822/12/18

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