Advanced search
1 file | 476.31 KB Add to list

On the structural nature of cooperation in distributed network localization

Author
Organization
Abstract
We demonstrate analytically that the contribution of cooperation in improving the accuracy of distributed network localization has a fundamentally structural nature, rather then statistical as widely believed. To this end we first introduce a new approach to build Fisher Information Matrices (FIMs), in which the individual contribution of each cooperative pair of nodes is captured explicitly by a corresponding information vector. The approach offers new insight onto the structure of FIMs, enabling us to easily account for both anchor and node location uncertainties in assessing lower bounds on localization errors. Using this construction it is surprisingly found that in the presence of node location uncertainty and regardless of ranging error variances or network size, the Fisher information matrix (FIM) terms corresponding to the information added by node-to-node cooperation nearly vanish. In other words, the analysis reveals that the key contribution of cooperation in network localization is not to add statistical node-to-node information (in the Fisher sense), but rather to provide a structure over which information is better exploited.
Keywords
FUNDAMENTAL LIMITS, WIDE-BAND LOCALIZATION, SENSOR NETWORKS

Downloads

  • Asilomar14 v03.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 476.31 KB

Citation

Please use this url to cite or link to this publication:

MLA
Ghods, Alireza et al. “On the Structural Nature of Cooperation in Distributed Network Localization.” Conference Record of the Asilomar Conference on Signals Systems and Computers. 2014. 1194–1198. Print.
APA
Ghods, A., Severi, S., Abreu, G., Van de Velde, S., & Steendam, H. (2014). On the structural nature of cooperation in distributed network localization. Conference Record of the Asilomar Conference on Signals Systems and Computers (pp. 1194–1198). Presented at the 48h Asilomar Conference on Signals, Systems, and Computers.
Chicago author-date
Ghods, Alireza, Stefano Severi, Guiseppe Abreu, Samuel Van de Velde, and Heidi Steendam. 2014. “On the Structural Nature of Cooperation in Distributed Network Localization.” In Conference Record of the Asilomar Conference on Signals Systems and Computers, 1194–1198.
Chicago author-date (all authors)
Ghods, Alireza, Stefano Severi, Guiseppe Abreu, Samuel Van de Velde, and Heidi Steendam. 2014. “On the Structural Nature of Cooperation in Distributed Network Localization.” In Conference Record of the Asilomar Conference on Signals Systems and Computers, 1194–1198.
Vancouver
1.
Ghods A, Severi S, Abreu G, Van de Velde S, Steendam H. On the structural nature of cooperation in distributed network localization. Conference Record of the Asilomar Conference on Signals Systems and Computers. 2014. p. 1194–8.
IEEE
[1]
A. Ghods, S. Severi, G. Abreu, S. Van de Velde, and H. Steendam, “On the structural nature of cooperation in distributed network localization,” in Conference Record of the Asilomar Conference on Signals Systems and Computers, Pacific Grove, CA, 2014, pp. 1194–1198.
@inproceedings{5957314,
  abstract     = {We demonstrate analytically that the contribution of cooperation in improving the accuracy of distributed network localization has a fundamentally structural nature, rather then statistical as widely believed. To this end we first introduce a new approach to build Fisher Information Matrices (FIMs), in which the individual contribution of each cooperative pair of nodes is captured explicitly by a corresponding information vector. The approach offers new insight onto the structure of FIMs, enabling us to easily account for both anchor and node location uncertainties in assessing lower bounds on localization errors. Using this construction it is surprisingly found that in the presence of node location uncertainty and regardless of ranging error variances or network size, the Fisher information matrix (FIM) terms corresponding to the information added by node-to-node cooperation nearly vanish. In other words, the analysis reveals that the key contribution of cooperation in network localization is not to add statistical node-to-node information (in the Fisher sense), but rather to provide a structure over which information is better exploited.},
  author       = {Ghods, Alireza and Severi, Stefano and Abreu, Guiseppe and Van de Velde, Samuel and Steendam, Heidi},
  booktitle    = {Conference Record of the Asilomar Conference on Signals Systems and Computers},
  isbn         = {978-1-4799-8297-4},
  issn         = {1058-6393},
  keywords     = {FUNDAMENTAL LIMITS,WIDE-BAND LOCALIZATION,SENSOR NETWORKS},
  language     = {eng},
  location     = {Pacific Grove, CA},
  pages        = {1194--1198},
  title        = {On the structural nature of cooperation in distributed network localization},
  year         = {2014},
}

Web of Science
Times cited: