A bio-inspired cooperative algorithm for distributed source localization with mobile nodes

Azam Khalili; Amir Rastegarnia; Md Kafiul Islam; Zhi Yang

doi:10.1109/EMBC.2013.6610300

A bio-inspired cooperative algorithm for distributed source localization with mobile nodes

Azam Khalili, Amir Rastegarnia, Md Kafiul Islam, Zhi Yang

Biomedical Engineering

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

Abstract

In this paper we propose an algorithm for distributed optimization in mobile nodes. Compared with many published works, an important consideration here is that the nodes do not know the cost function beforehand. Instead of decision-making based on linear combination of the neighbor estimates, the proposed algorithm relies on information-rich nodes that are iteratively identified. To quickly find these nodes, the algorithm adopts a larger step size during the initial iterations. The proposed algorithm can be used in many different applications, such as distributed odor source localization and mobile robots. Comparative simulation results are presented to support the proposed algorithm.

Original language	English (US)
Pages (from-to)	3515-3518
Number of pages	4
Journal	Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
Volume	2013
DOIs	https://doi.org/10.1109/EMBC.2013.6610300
State	Published - 2013
Event	2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 - Osaka, Japan Duration: Jul 3 2013 → Jul 7 2013

PubMed: MeSH publication types

Journal Article

Access

10.1109/EMBC.2013.6610300

OpenUrl availability

Full text

Cite this

Khalili, A., Rastegarnia, A., Islam, M. K., & Yang, Z. (2013). A bio-inspired cooperative algorithm for distributed source localization with mobile nodes. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2013, 3515-3518. https://doi.org/10.1109/EMBC.2013.6610300

A bio-inspired cooperative algorithm for distributed source localization with mobile nodes. / Khalili, Azam; Rastegarnia, Amir; Islam, Md Kafiul et al.
In: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, Vol. 2013, 2013, p. 3515-3518.

Research output: Contribution to journal › Article › peer-review

Khalili, A, Rastegarnia, A, Islam, MK & Yang, Z 2013, 'A bio-inspired cooperative algorithm for distributed source localization with mobile nodes', Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, vol. 2013, pp. 3515-3518. https://doi.org/10.1109/EMBC.2013.6610300

Khalili, Azam ; Rastegarnia, Amir ; Islam, Md Kafiul et al. / A bio-inspired cooperative algorithm for distributed source localization with mobile nodes. In: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference. 2013 ; Vol. 2013. pp. 3515-3518.

@article{9d0eb2bdaa2d46e7b376b2cbbe10e71f,

title = "A bio-inspired cooperative algorithm for distributed source localization with mobile nodes",

abstract = "In this paper we propose an algorithm for distributed optimization in mobile nodes. Compared with many published works, an important consideration here is that the nodes do not know the cost function beforehand. Instead of decision-making based on linear combination of the neighbor estimates, the proposed algorithm relies on information-rich nodes that are iteratively identified. To quickly find these nodes, the algorithm adopts a larger step size during the initial iterations. The proposed algorithm can be used in many different applications, such as distributed odor source localization and mobile robots. Comparative simulation results are presented to support the proposed algorithm.",

author = "Azam Khalili and Amir Rastegarnia and Islam, {Md Kafiul} and Zhi Yang",

year = "2013",

doi = "10.1109/EMBC.2013.6610300",

language = "English (US)",

volume = "2013",

pages = "3515--3518",

journal = "Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference",

issn = "1557-170X",

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

note = "2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 ; Conference date: 03-07-2013 Through 07-07-2013",

}

TY - JOUR

T1 - A bio-inspired cooperative algorithm for distributed source localization with mobile nodes

AU - Khalili, Azam

AU - Rastegarnia, Amir

AU - Islam, Md Kafiul

AU - Yang, Zhi

PY - 2013

Y1 - 2013

N2 - In this paper we propose an algorithm for distributed optimization in mobile nodes. Compared with many published works, an important consideration here is that the nodes do not know the cost function beforehand. Instead of decision-making based on linear combination of the neighbor estimates, the proposed algorithm relies on information-rich nodes that are iteratively identified. To quickly find these nodes, the algorithm adopts a larger step size during the initial iterations. The proposed algorithm can be used in many different applications, such as distributed odor source localization and mobile robots. Comparative simulation results are presented to support the proposed algorithm.

AB - In this paper we propose an algorithm for distributed optimization in mobile nodes. Compared with many published works, an important consideration here is that the nodes do not know the cost function beforehand. Instead of decision-making based on linear combination of the neighbor estimates, the proposed algorithm relies on information-rich nodes that are iteratively identified. To quickly find these nodes, the algorithm adopts a larger step size during the initial iterations. The proposed algorithm can be used in many different applications, such as distributed odor source localization and mobile robots. Comparative simulation results are presented to support the proposed algorithm.

UR - http://www.scopus.com/inward/record.url?scp=84886550003&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84886550003&partnerID=8YFLogxK

U2 - 10.1109/EMBC.2013.6610300

DO - 10.1109/EMBC.2013.6610300

M3 - Article

C2 - 24110487

AN - SCOPUS:84886550003

SN - 1557-170X

VL - 2013

SP - 3515

EP - 3518

JO - Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference

JF - Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference

T2 - 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013

Y2 - 3 July 2013 through 7 July 2013

ER -

A bio-inspired cooperative algorithm for distributed source localization with mobile nodes

Abstract

PubMed: MeSH publication types

Access

OpenUrl availability

Other files and links

Fingerprint

Cite this