Understanding the efficiency of cooperation in location-aware wireless networks

Yifeng Xiong; Jingming Kuang; Yuan Feng; Hua Wang; Nan Wu

doi:10.1109/ICCW.2017.7962761

Understanding the efficiency of cooperation in location-aware wireless networks

Yifeng Xiong, Jingming Kuang, Yuan Feng, Hua Wang, Nan Wu^*

^*Corresponding author for this work

School of Integrated Circuits and Electronics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Localization techniques are crucial for wireless networks in the age of big data. Exploiting pairwise measurements between agents, the scheme of cooperative localization yield superior performance and has been discussed extensively. However, despite its great significance for network design, the efficiency of cooperation remains an open topic. By introducing a decomposition of the Fisher information matrix (FIM), this paper gives a natural definition of cooperation efficiency, and relate it to the information coupling among nodes. Geometric interpretations of this decomposition is given and illustrated by numerical examples.

Original language	English
Title of host publication	2017 IEEE International Conference on Communications Workshops, ICC Workshops 2017
Editors	Constantinos B. Papadias, Abbas Jamalipour
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	828-833
Number of pages	6
ISBN (Electronic)	9781509015252
DOIs	https://doi.org/10.1109/ICCW.2017.7962761
Publication status	Published - 29 Jun 2017
Event	2017 IEEE International Conference on Communications Workshops, ICC Workshops 2017 - Paris, France Duration: 21 May 2017 → 25 May 2017

Publication series

Name	2017 IEEE International Conference on Communications Workshops, ICC Workshops 2017

Conference

Conference	2017 IEEE International Conference on Communications Workshops, ICC Workshops 2017
Country/Territory	France
City	Paris
Period	21/05/17 → 25/05/17

Keywords

Cooperative dilution of information
Cooperative localization
Cramér-Rao bound (CRB)
Efficiency of cooperation

Access to Document

10.1109/ICCW.2017.7962761

Cite this

Xiong, Y., Kuang, J., Feng, Y., Wang, H., & Wu, N. (2017). Understanding the efficiency of cooperation in location-aware wireless networks. In C. B. Papadias, & A. Jamalipour (Eds.), 2017 IEEE International Conference on Communications Workshops, ICC Workshops 2017 (pp. 828-833). Article 7962761 (2017 IEEE International Conference on Communications Workshops, ICC Workshops 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCW.2017.7962761

Xiong, Yifeng ; Kuang, Jingming ; Feng, Yuan et al. / Understanding the efficiency of cooperation in location-aware wireless networks. 2017 IEEE International Conference on Communications Workshops, ICC Workshops 2017. editor / Constantinos B. Papadias ; Abbas Jamalipour. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 828-833 (2017 IEEE International Conference on Communications Workshops, ICC Workshops 2017).

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title = "Understanding the efficiency of cooperation in location-aware wireless networks",

abstract = "Localization techniques are crucial for wireless networks in the age of big data. Exploiting pairwise measurements between agents, the scheme of cooperative localization yield superior performance and has been discussed extensively. However, despite its great significance for network design, the efficiency of cooperation remains an open topic. By introducing a decomposition of the Fisher information matrix (FIM), this paper gives a natural definition of cooperation efficiency, and relate it to the information coupling among nodes. Geometric interpretations of this decomposition is given and illustrated by numerical examples.",

keywords = "Cooperative dilution of information, Cooperative localization, Cram{\'e}r-Rao bound (CRB), Efficiency of cooperation",

author = "Yifeng Xiong and Jingming Kuang and Yuan Feng and Hua Wang and Nan Wu",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Communications Workshops, ICC Workshops 2017 ; Conference date: 21-05-2017 Through 25-05-2017",

year = "2017",

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doi = "10.1109/ICCW.2017.7962761",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Xiong, Y, Kuang, J, Feng, Y, Wang, H & Wu, N 2017, Understanding the efficiency of cooperation in location-aware wireless networks. in CB Papadias & A Jamalipour (eds), 2017 IEEE International Conference on Communications Workshops, ICC Workshops 2017., 7962761, 2017 IEEE International Conference on Communications Workshops, ICC Workshops 2017, Institute of Electrical and Electronics Engineers Inc., pp. 828-833, 2017 IEEE International Conference on Communications Workshops, ICC Workshops 2017, Paris, France, 21/05/17. https://doi.org/10.1109/ICCW.2017.7962761

Understanding the efficiency of cooperation in location-aware wireless networks. / Xiong, Yifeng; Kuang, Jingming; Feng, Yuan et al.
2017 IEEE International Conference on Communications Workshops, ICC Workshops 2017. ed. / Constantinos B. Papadias; Abbas Jamalipour. Institute of Electrical and Electronics Engineers Inc., 2017. p. 828-833 7962761 (2017 IEEE International Conference on Communications Workshops, ICC Workshops 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Understanding the efficiency of cooperation in location-aware wireless networks

AU - Xiong, Yifeng

AU - Kuang, Jingming

AU - Feng, Yuan

AU - Wang, Hua

AU - Wu, Nan

PY - 2017/6/29

Y1 - 2017/6/29

N2 - Localization techniques are crucial for wireless networks in the age of big data. Exploiting pairwise measurements between agents, the scheme of cooperative localization yield superior performance and has been discussed extensively. However, despite its great significance for network design, the efficiency of cooperation remains an open topic. By introducing a decomposition of the Fisher information matrix (FIM), this paper gives a natural definition of cooperation efficiency, and relate it to the information coupling among nodes. Geometric interpretations of this decomposition is given and illustrated by numerical examples.

AB - Localization techniques are crucial for wireless networks in the age of big data. Exploiting pairwise measurements between agents, the scheme of cooperative localization yield superior performance and has been discussed extensively. However, despite its great significance for network design, the efficiency of cooperation remains an open topic. By introducing a decomposition of the Fisher information matrix (FIM), this paper gives a natural definition of cooperation efficiency, and relate it to the information coupling among nodes. Geometric interpretations of this decomposition is given and illustrated by numerical examples.

KW - Cooperative dilution of information

KW - Cooperative localization

KW - Cramér-Rao bound (CRB)

KW - Efficiency of cooperation

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M3 - Conference contribution

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T3 - 2017 IEEE International Conference on Communications Workshops, ICC Workshops 2017

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BT - 2017 IEEE International Conference on Communications Workshops, ICC Workshops 2017

A2 - Papadias, Constantinos B.

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PB - Institute of Electrical and Electronics Engineers Inc.

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Xiong Y, Kuang J, Feng Y, Wang H , Wu N. Understanding the efficiency of cooperation in location-aware wireless networks. In Papadias CB, Jamalipour A, editors, 2017 IEEE International Conference on Communications Workshops, ICC Workshops 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 828-833. 7962761. (2017 IEEE International Conference on Communications Workshops, ICC Workshops 2017). doi: 10.1109/ICCW.2017.7962761

Understanding the efficiency of cooperation in location-aware wireless networks

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Keywords

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