DocumentCode
3524692
Title
A metaheuristic algorithm for wireless sensor network design in railway structures
Author
Hada, Akio ; Tsuchiya, Ryuji
Author_Institution
Transp. Inf. Technol. Div., Railway Tech. Res. Inst., Kokubunji, Japan
fYear
2009
fDate
7-10 Dec. 2009
Firstpage
231
Lastpage
236
Abstract
In this paper we study the resource constrained store-carry-forward wireless sensor networks to be utilized for the maintenance of railway structures, and propose a method for designing these networks based on a metaheuristic algorithm. At first, we point out that we need to solve the two problems, namely the one to decide places for deploying gateways equipped with storage and the other to decide the transmitting paths for sending each sensor data to one of the gateways, in order to design the resource constrained store-carry-forward wireless sensor networks. After we integrate these two problems into one problem and formulate this integrated problem as a mathematical problem, we propose a method to generate a near optimal solution for this problem based on a metaheuristic algorithm. Finally we verify the effectiveness of our method through the computational experiments with application of the data of real railway tunnel.
Keywords
condition monitoring; maintenance engineering; railways; wireless sensor networks; mathematical problem; metaheuristic algorithm; network lifetime; railway structure maintenance; resource constrained store-carry-forward wireless sensor networks; wireless sensor network design; Algorithm design and analysis; Batteries; Condition monitoring; Design methodology; Humans; Information technology; Inspection; Rail transportation; Sensor systems; Wireless sensor networks; network lifetime; railway structures; wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2009 5th International Conference on
Conference_Location
Melbourne, VIC
Print_ISBN
978-1-4244-3517-3
Electronic_ISBN
978-1-4244-3518-0
Type
conf
DOI
10.1109/ISSNIP.2009.5416819
Filename
5416819
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