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Reliability Polynomials in Optimizing Placement of Base Stations in Monitoring Networks. / Rodionov, Alexey S.; Kalney, Artyom M.

2018 14th International Scientific-Technical Conference on Actual Problems of Electronic Instrument Engineering, APEIE 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 252-259 8545933.

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

Harvard

Rodionov, AS & Kalney, AM 2018, Reliability Polynomials in Optimizing Placement of Base Stations in Monitoring Networks. in 2018 14th International Scientific-Technical Conference on Actual Problems of Electronic Instrument Engineering, APEIE 2018 - Proceedings., 8545933, Institute of Electrical and Electronics Engineers Inc., pp. 252-259, 14th International Scientific-Technical Conference on Actual Problems of Electronic Instrument Engineering, APEIE 2018, Novosibirsk, Russian Federation, 02.10.2018. https://doi.org/10.1109/APEIE.2018.8545933

APA

Rodionov, A. S., & Kalney, A. M. (2018). Reliability Polynomials in Optimizing Placement of Base Stations in Monitoring Networks. In 2018 14th International Scientific-Technical Conference on Actual Problems of Electronic Instrument Engineering, APEIE 2018 - Proceedings (pp. 252-259). [8545933] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APEIE.2018.8545933

Vancouver

Rodionov AS, Kalney AM. Reliability Polynomials in Optimizing Placement of Base Stations in Monitoring Networks. In 2018 14th International Scientific-Technical Conference on Actual Problems of Electronic Instrument Engineering, APEIE 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 252-259. 8545933 doi: 10.1109/APEIE.2018.8545933

Author

Rodionov, Alexey S. ; Kalney, Artyom M. / Reliability Polynomials in Optimizing Placement of Base Stations in Monitoring Networks. 2018 14th International Scientific-Technical Conference on Actual Problems of Electronic Instrument Engineering, APEIE 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 252-259

BibTeX

@inproceedings{6ff113812a514c8a8868556a3791d4ce,
title = "Reliability Polynomials in Optimizing Placement of Base Stations in Monitoring Networks",
abstract = "When analysing or designing monitoring networks, one of major indices of quality is a size of area that is under reliable monitoring. This size may be estimated by MENC - a mathematical expectation of a number of nodes that are connected with one special node (central node, C -node). In large networks several nodes (base stations, b -nodes) may be used for gathering information and then transfer it directly or after pre-processing to a c-node by reliable channels. In the case of homogeneous or almost homogeneous networks, reliability polynomials may be used for comparison of choices for b-nodes placement. We show how to increase efficiency of obtaining MENC-polynomials and present example of their crossing for different choices of b-node placement.",
keywords = "Network reliability, reliability polynomials",
author = "Rodionov, {Alexey S.} and Kalney, {Artyom M.}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 14th International Scientific-Technical Conference on Actual Problems of Electronic Instrument Engineering, APEIE 2018 ; Conference date: 02-10-2018 Through 06-10-2018",
year = "2018",
month = nov,
day = "26",
doi = "10.1109/APEIE.2018.8545933",
language = "English",
pages = "252--259",
booktitle = "2018 14th International Scientific-Technical Conference on Actual Problems of Electronic Instrument Engineering, APEIE 2018 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

RIS

TY - GEN

T1 - Reliability Polynomials in Optimizing Placement of Base Stations in Monitoring Networks

AU - Rodionov, Alexey S.

AU - Kalney, Artyom M.

N1 - Publisher Copyright: © 2018 IEEE.

PY - 2018/11/26

Y1 - 2018/11/26

N2 - When analysing or designing monitoring networks, one of major indices of quality is a size of area that is under reliable monitoring. This size may be estimated by MENC - a mathematical expectation of a number of nodes that are connected with one special node (central node, C -node). In large networks several nodes (base stations, b -nodes) may be used for gathering information and then transfer it directly or after pre-processing to a c-node by reliable channels. In the case of homogeneous or almost homogeneous networks, reliability polynomials may be used for comparison of choices for b-nodes placement. We show how to increase efficiency of obtaining MENC-polynomials and present example of their crossing for different choices of b-node placement.

AB - When analysing or designing monitoring networks, one of major indices of quality is a size of area that is under reliable monitoring. This size may be estimated by MENC - a mathematical expectation of a number of nodes that are connected with one special node (central node, C -node). In large networks several nodes (base stations, b -nodes) may be used for gathering information and then transfer it directly or after pre-processing to a c-node by reliable channels. In the case of homogeneous or almost homogeneous networks, reliability polynomials may be used for comparison of choices for b-nodes placement. We show how to increase efficiency of obtaining MENC-polynomials and present example of their crossing for different choices of b-node placement.

KW - Network reliability

KW - reliability polynomials

UR - http://www.scopus.com/inward/record.url?scp=85060155924&partnerID=8YFLogxK

U2 - 10.1109/APEIE.2018.8545933

DO - 10.1109/APEIE.2018.8545933

M3 - Conference contribution

AN - SCOPUS:85060155924

SP - 252

EP - 259

BT - 2018 14th International Scientific-Technical Conference on Actual Problems of Electronic Instrument Engineering, APEIE 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 14th International Scientific-Technical Conference on Actual Problems of Electronic Instrument Engineering, APEIE 2018

Y2 - 2 October 2018 through 6 October 2018

ER -

ID: 18908182