International Journal of Computational Intelligence Systems

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Volume 8, Issue 3, June 2015, Pages 561 - 590

Optimal Tunnel Coverage Problem by One New Nature-Inspired Energy Conservation Optimization

Authors
Jun Liu, Tianyun Shi, Ping Li, Xuemei Ren, Hongbin Ma
Corresponding Author
Jun Liu
Received 25 September 2014, Accepted 25 January 2015, Available Online 1 June 2015.
DOI
10.1080/18756891.2015.1036223How to use a DOI?
Keywords
Energy conversation optimization, optimal tunnel coverage problem, sensor network, railway transportation
Abstract

This paper mainly provides one new nature inspired Energy Conversation Optimization (ECO) method to search for the optimal sensor position of sensor network in the typical tunnels, fully covering the tunnel and dynamically locating the high-speed train in the tunnel. Firstly, one objective of this study is to briefly introduce the framework of transmitting the sensor's data in the railway network, the objectives and the constraints of the optimal coverage problem. Secondly, another objective of this paper is to provide some fundamental assumptions and concepts of ECO algorithm, together with the corresponding convergence analysis and the main steps of ECO algorithm. Additionally, the ECO algorithm is mainly utilized to address the optimal tunnel coverage problem. Numerical results mainly concentrate on the effectiveness of ECO algorithm comparing with the PSO algorithm and deal with four typical optimal coverage problems in the presence of the line tunnel, the indirect line tunnel and the complicated tunnels, etc. Finally, the ECO algorithm can offer the guideline for the smallest number of sensors and the corresponding positions in the given tunnel, fully covering the whole tunnel and providing the location of high-speed trains.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
8 - 3
Pages
561 - 590
Publication Date
2015/06/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2015.1036223How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Jun Liu
AU  - Tianyun Shi
AU  - Ping Li
AU  - Xuemei Ren
AU  - Hongbin Ma
PY  - 2015
DA  - 2015/06/01
TI  - Optimal Tunnel Coverage Problem by One New Nature-Inspired Energy Conservation Optimization
JO  - International Journal of Computational Intelligence Systems
SP  - 561
EP  - 590
VL  - 8
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2015.1036223
DO  - 10.1080/18756891.2015.1036223
ID  - Liu2015
ER  -