Relay Node Selection Strategy for Wireless Sensor Network

Lingping Kong; Jeng-Shyang Pan; Shu-Chuan Chu; John Roddick

doi:10.1007/978-3-319-68527-4_25

Relay Node Selection Strategy for Wireless Sensor Network

Lingping Kong, Jeng-Shyang Pan, Shu-Chuan Chu, John Roddick

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

Abstract

In the past few years, people have experienced advanced interest in the potential use of wireless sensor network in applications such as environment surveillance, military field protection and medical treatment. Usually hundreds even thousands of sensors are scattered randomly in remote environment. In generally, for the scalability of sensor network, cluster techniques are often used to group nodes into several sets. And in this paper, we proposed a new method called GF_CENTER to select the positions of centers, which is also a kind of k-center problem. And a new fitness function is presented for optimize the resolution. We compare our method with two other algorithms. GF_CENTER method minimizes the number of centers in the network. From the experiments, GF_CENTER find smaller number of centers than the other methods, which lower the construction fee of network.

Original language	English
Title of host publication	Proceedings of the 4th Euro-China Conference on Intelligent Data Analysis and Applications
Editors	Pavel Kromer, Vaclav Snasel, Jeng-Shyang Pan, Enrique Alba
Publisher	Springer-Verlag
Pages	228-234
Number of pages	7
ISBN (Print)	9783319685267
DOIs	https://doi.org/10.1007/978-3-319-68527-4_25
Publication status	Published - 1 Jan 2018
Event	4th Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2017 - Malaga, Spain Duration: 9 Oct 2017 → 11 Oct 2017

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	682
ISSN (Print)	2194-5357

Conference

Conference	4th Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2017
Country/Territory	Spain
City	Malaga
Period	9/10/17 → 11/10/17

Keywords

Farthest first traversal
Genetic algorithm
Wireless sensor network

Access to Document

10.1007/978-3-319-68527-4_25

Cite this

Kong, L., Pan, J.-S., Chu, S.-C., & Roddick, J. (2018). Relay Node Selection Strategy for Wireless Sensor Network. In P. Kromer, V. Snasel, J.-S. Pan, & E. Alba (Eds.), Proceedings of the 4th Euro-China Conference on Intelligent Data Analysis and Applications (pp. 228-234). (Advances in Intelligent Systems and Computing; Vol. 682). Springer-Verlag. https://doi.org/10.1007/978-3-319-68527-4_25

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title = "Relay Node Selection Strategy for Wireless Sensor Network",

abstract = "In the past few years, people have experienced advanced interest in the potential use of wireless sensor network in applications such as environment surveillance, military field protection and medical treatment. Usually hundreds even thousands of sensors are scattered randomly in remote environment. In generally, for the scalability of sensor network, cluster techniques are often used to group nodes into several sets. And in this paper, we proposed a new method called GF_CENTER to select the positions of centers, which is also a kind of k-center problem. And a new fitness function is presented for optimize the resolution. We compare our method with two other algorithms. GF_CENTER method minimizes the number of centers in the network. From the experiments, GF_CENTER find smaller number of centers than the other methods, which lower the construction fee of network.",

keywords = "Farthest first traversal, Genetic algorithm, Wireless sensor network",

author = "Lingping Kong and Jeng-Shyang Pan and Shu-Chuan Chu and John Roddick",

year = "2018",

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doi = "10.1007/978-3-319-68527-4_25",

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editor = "Pavel Kromer and Vaclav Snasel and Jeng-Shyang Pan and Enrique Alba",

booktitle = "Proceedings of the 4th Euro-China Conference on Intelligent Data Analysis and Applications",

note = "4th Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2017 ; Conference date: 09-10-2017 Through 11-10-2017",

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Kong, L, Pan, J-S, Chu, S-C & Roddick, J 2018, Relay Node Selection Strategy for Wireless Sensor Network. in P Kromer, V Snasel, J-S Pan & E Alba (eds), Proceedings of the 4th Euro-China Conference on Intelligent Data Analysis and Applications. Advances in Intelligent Systems and Computing, vol. 682, Springer-Verlag, pp. 228-234, 4th Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2017, Malaga, Spain, 9/10/17. https://doi.org/10.1007/978-3-319-68527-4_25

Relay Node Selection Strategy for Wireless Sensor Network. / Kong, Lingping; Pan, Jeng-Shyang; Chu, Shu-Chuan et al.
Proceedings of the 4th Euro-China Conference on Intelligent Data Analysis and Applications. ed. / Pavel Kromer; Vaclav Snasel; Jeng-Shyang Pan; Enrique Alba. Springer-Verlag, 2018. p. 228-234 (Advances in Intelligent Systems and Computing; Vol. 682).

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

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AU - Kong, Lingping

AU - Pan, Jeng-Shyang

AU - Chu, Shu-Chuan

AU - Roddick, John

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N2 - In the past few years, people have experienced advanced interest in the potential use of wireless sensor network in applications such as environment surveillance, military field protection and medical treatment. Usually hundreds even thousands of sensors are scattered randomly in remote environment. In generally, for the scalability of sensor network, cluster techniques are often used to group nodes into several sets. And in this paper, we proposed a new method called GF_CENTER to select the positions of centers, which is also a kind of k-center problem. And a new fitness function is presented for optimize the resolution. We compare our method with two other algorithms. GF_CENTER method minimizes the number of centers in the network. From the experiments, GF_CENTER find smaller number of centers than the other methods, which lower the construction fee of network.

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Relay Node Selection Strategy for Wireless Sensor Network

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Keywords

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