TY - GEN
T1 - Positioning Vectors for Mobile Ad-Hoc Positioning
AU - Sartayeva, Yerkezhan
AU - Liu, Yunfei
AU - Ho, Yik Him
AU - Chan, Henry C.B.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/8
Y1 - 2023/8
N2 - In recent years, there has been considerable interest in indoor positioning with the advent of smartphones. Conventional indoor positioning methods are mostly infrastructure-based and non-collaborative. With the recent development of Ultra-WideBand (UWB) technologies, highly accurate distance and orientation detection have become available for supporting collaborative positioning, a new positioning paradigm. Hence there is a strong need to study collaborative positioning, which is referred to in this paper as mobile ad-hoc positioning (MAP). To contribute to the development of MAP, we present novel positioning vectors with the potential to tackle many related collaborative positioning problems and open an interesting area of research. Our contributions are outlined as follows. First, we present the concept of positioning vectors with the foundational features. Second, we present both experimental and simulation results, illustrating the use of positioning vectors. In particular, we discuss a COVID-19 related case study on social distancing. Last but not least, we discuss the future research directions of positioning vectors. In summary, this paper provides valuable insights into the development of MAP in general and positioning vectors in particular.
AB - In recent years, there has been considerable interest in indoor positioning with the advent of smartphones. Conventional indoor positioning methods are mostly infrastructure-based and non-collaborative. With the recent development of Ultra-WideBand (UWB) technologies, highly accurate distance and orientation detection have become available for supporting collaborative positioning, a new positioning paradigm. Hence there is a strong need to study collaborative positioning, which is referred to in this paper as mobile ad-hoc positioning (MAP). To contribute to the development of MAP, we present novel positioning vectors with the potential to tackle many related collaborative positioning problems and open an interesting area of research. Our contributions are outlined as follows. First, we present the concept of positioning vectors with the foundational features. Second, we present both experimental and simulation results, illustrating the use of positioning vectors. In particular, we discuss a COVID-19 related case study on social distancing. Last but not least, we discuss the future research directions of positioning vectors. In summary, this paper provides valuable insights into the development of MAP in general and positioning vectors in particular.
KW - collaborative positioning
KW - indoor positioning
KW - mobile ad-hoc positioning
KW - positioning vectors
UR - http://www.scopus.com/inward/record.url?scp=85168893649&partnerID=8YFLogxK
U2 - 10.1109/COMPSAC57700.2023.00074
DO - 10.1109/COMPSAC57700.2023.00074
M3 - Conference article published in proceeding or book
AN - SCOPUS:85168893649
T3 - Proceedings - International Computer Software and Applications Conference
SP - 512
EP - 517
BT - Proceedings - 2023 IEEE 47th Annual Computers, Software, and Applications Conference, COMPSAC 2023
A2 - Shahriar, Hossain
A2 - Teranishi, Yuuichi
A2 - Cuzzocrea, Alfredo
A2 - Sharmin, Moushumi
A2 - Towey, Dave
A2 - Majumder, AKM Jahangir Alam
A2 - Kashiwazaki, Hiroki
A2 - Yang, Ji-Jiang
A2 - Takemoto, Michiharu
A2 - Sakib, Nazmus
A2 - Banno, Ryohei
A2 - Ahamed, Sheikh Iqbal
PB - IEEE Computer Society
T2 - 47th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2023
Y2 - 26 June 2023 through 30 June 2023
ER -