Time difference of arrival localization study for SAR systems over LoRAWAN

Christos Bouras; Apostolos Gkamas; Vasileios Kokkinos; Nikolaos Papachristos

doi:10.1016/j.procs.2020.07.043

Time difference of arrival localization study for SAR systems over LoRAWAN

Christos Bouras^*, Apostolos Gkamas, Vasileios Kokkinos, Nikolaos Papachristos

^*Corresponding author for this work

Neurology

Research output: Contribution to journal › Conference article › peer-review

5 Scopus citations

Abstract

Over the last years we have seen a rapid expansion within the area of Internet of Things (IoT) applications. For many applications' use cases, such as rescue monitor systems, the problem of localization (i.e. determine the physical location of nodes) is critical. This paper studies and evaluates the usage of mathematical model of multilateration algorithms using Time Difference of Arrival (TDoA) as a solution for positioning over Long Range Wide Area Network (LoRaWAN). The research is carried out using simulations in Python by configuring the constant positions of the Gateways inside an outdoor area. The proposed algorithms can be integrated in application for tracking people at any time and especially routing people from vulnerable groups. Through multilateration and algorithm's prediction, we can have an accuracy of 40-60m in location positioning ideal for search and rescue use cases.

Original language	English (US)
Pages (from-to)	292-299
Number of pages	8
Journal	Procedia Computer Science
Volume	175
DOIs	https://doi.org/10.1016/j.procs.2020.07.043
State	Published - 2020
Event	17th International Conference on Mobile Systems and Pervasive Computing, MobiSPC 2020 - Leuven, Belgium Duration: Aug 9 2020 → Aug 12 2020

Funding

This research has been co-financed by the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under thecall RESEARCH - CREATE - INNOVATE (project code:T1EDK-01520).

Keywords

IoT
Lorawan
Mulilateration
Search and rescue application
TDoA
Wireless network

ASJC Scopus subject areas

General Computer Science

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10.1016/j.procs.2020.07.043

Cite this

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title = "Time difference of arrival localization study for SAR systems over LoRAWAN",

abstract = "Over the last years we have seen a rapid expansion within the area of Internet of Things (IoT) applications. For many applications' use cases, such as rescue monitor systems, the problem of localization (i.e. determine the physical location of nodes) is critical. This paper studies and evaluates the usage of mathematical model of multilateration algorithms using Time Difference of Arrival (TDoA) as a solution for positioning over Long Range Wide Area Network (LoRaWAN). The research is carried out using simulations in Python by configuring the constant positions of the Gateways inside an outdoor area. The proposed algorithms can be integrated in application for tracking people at any time and especially routing people from vulnerable groups. Through multilateration and algorithm's prediction, we can have an accuracy of 40-60m in location positioning ideal for search and rescue use cases.",

keywords = "IoT, Lorawan, Mulilateration, Search and rescue application, TDoA, Wireless network",

author = "Christos Bouras and Apostolos Gkamas and Vasileios Kokkinos and Nikolaos Papachristos",

note = "Publisher Copyright: {\textcopyright} 2020 The Authors.; 17th International Conference on Mobile Systems and Pervasive Computing, MobiSPC 2020 ; Conference date: 09-08-2020 Through 12-08-2020",

year = "2020",

doi = "10.1016/j.procs.2020.07.043",

language = "English (US)",

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journal = "Procedia Computer Science",

issn = "1877-0509",

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TY - JOUR

T1 - Time difference of arrival localization study for SAR systems over LoRAWAN

AU - Bouras, Christos

AU - Gkamas, Apostolos

AU - Kokkinos, Vasileios

AU - Papachristos, Nikolaos

PY - 2020

Y1 - 2020

N2 - Over the last years we have seen a rapid expansion within the area of Internet of Things (IoT) applications. For many applications' use cases, such as rescue monitor systems, the problem of localization (i.e. determine the physical location of nodes) is critical. This paper studies and evaluates the usage of mathematical model of multilateration algorithms using Time Difference of Arrival (TDoA) as a solution for positioning over Long Range Wide Area Network (LoRaWAN). The research is carried out using simulations in Python by configuring the constant positions of the Gateways inside an outdoor area. The proposed algorithms can be integrated in application for tracking people at any time and especially routing people from vulnerable groups. Through multilateration and algorithm's prediction, we can have an accuracy of 40-60m in location positioning ideal for search and rescue use cases.

AB - Over the last years we have seen a rapid expansion within the area of Internet of Things (IoT) applications. For many applications' use cases, such as rescue monitor systems, the problem of localization (i.e. determine the physical location of nodes) is critical. This paper studies and evaluates the usage of mathematical model of multilateration algorithms using Time Difference of Arrival (TDoA) as a solution for positioning over Long Range Wide Area Network (LoRaWAN). The research is carried out using simulations in Python by configuring the constant positions of the Gateways inside an outdoor area. The proposed algorithms can be integrated in application for tracking people at any time and especially routing people from vulnerable groups. Through multilateration and algorithm's prediction, we can have an accuracy of 40-60m in location positioning ideal for search and rescue use cases.

KW - IoT

KW - Lorawan

KW - Mulilateration

KW - Search and rescue application

KW - TDoA

KW - Wireless network

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DO - 10.1016/j.procs.2020.07.043

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SN - 1877-0509

VL - 175

SP - 292

EP - 299

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 17th International Conference on Mobile Systems and Pervasive Computing, MobiSPC 2020

Y2 - 9 August 2020 through 12 August 2020

ER -

Time difference of arrival localization study for SAR systems over LoRAWAN

Abstract

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Keywords

ASJC Scopus subject areas

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