Performance on clustering routing for naturally deployed wireless sensor networks

Yung Fa Huang, Jyu Wei Wang, John Jenq, Hsing Chung Chen, Chung Hsin Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

This paper investigates the optimization on the energy efficiency for naturally scattering deployed cluster-based wireless sensor networks (WSNs). The energy efficiency depends on the number of clusters in WSNs where the cluster head (HD) transmitting sensing data received from each sensor in the cluster and dissipate large energy due to the long distance to the sink. Moreover, the nodes deployment would be Gaussian distributed in large area for naturally scattering senior nodes. Thus, in this paper we based on the numerical results in previous works and further simulated the optimization the number of cluster for a large area WSNs.

Original languageEnglish
Title of host publicationMobile Internet Security - 1st International Symposium, MobiSec 2016, Revised Selected Papers
EditorsFang-Yie Leu, Igor Kotenko, Ilsun You, Hsing-Chung Chen
PublisherSpringer Verlag
Pages1-9
Number of pages9
ISBN (Print)9789811078491
DOIs
StatePublished - 1 Jan 2018
Event1st International Symposium on Mobile Internet Security, MobiSec 2016 - Taichung, Taiwan, Province of China
Duration: 14 Jul 201615 Jul 2016

Publication series

NameCommunications in Computer and Information Science
Volume797
ISSN (Print)1865-0929

Other

Other1st International Symposium on Mobile Internet Security, MobiSec 2016
CountryTaiwan, Province of China
CityTaichung
Period14/07/1615/07/16

Fingerprint

Wireless Sensor Networks
Wireless sensor networks
Routing
Clustering
Number of Clusters
Energy Efficiency
Energy efficiency
Scattering
Dissipate
Optimization
Vertex of a graph
Sensing
Numerical Results
Sensor
Sensors
Energy

Keywords

  • Clustering
  • Energy efficiency
  • Wireless sensor networks

Cite this

Huang, Y. F., Wang, J. W., Jenq, J., Chen, H. C., & Hsu, C. H. (2018). Performance on clustering routing for naturally deployed wireless sensor networks. In F-Y. Leu, I. Kotenko, I. You, & H-C. Chen (Eds.), Mobile Internet Security - 1st International Symposium, MobiSec 2016, Revised Selected Papers (pp. 1-9). (Communications in Computer and Information Science; Vol. 797). Springer Verlag. https://doi.org/10.1007/978-981-10-7850-7_1
Huang, Yung Fa ; Wang, Jyu Wei ; Jenq, John ; Chen, Hsing Chung ; Hsu, Chung Hsin. / Performance on clustering routing for naturally deployed wireless sensor networks. Mobile Internet Security - 1st International Symposium, MobiSec 2016, Revised Selected Papers. editor / Fang-Yie Leu ; Igor Kotenko ; Ilsun You ; Hsing-Chung Chen. Springer Verlag, 2018. pp. 1-9 (Communications in Computer and Information Science).
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abstract = "This paper investigates the optimization on the energy efficiency for naturally scattering deployed cluster-based wireless sensor networks (WSNs). The energy efficiency depends on the number of clusters in WSNs where the cluster head (HD) transmitting sensing data received from each sensor in the cluster and dissipate large energy due to the long distance to the sink. Moreover, the nodes deployment would be Gaussian distributed in large area for naturally scattering senior nodes. Thus, in this paper we based on the numerical results in previous works and further simulated the optimization the number of cluster for a large area WSNs.",
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Huang, YF, Wang, JW, Jenq, J, Chen, HC & Hsu, CH 2018, Performance on clustering routing for naturally deployed wireless sensor networks. in F-Y Leu, I Kotenko, I You & H-C Chen (eds), Mobile Internet Security - 1st International Symposium, MobiSec 2016, Revised Selected Papers. Communications in Computer and Information Science, vol. 797, Springer Verlag, pp. 1-9, 1st International Symposium on Mobile Internet Security, MobiSec 2016, Taichung, Taiwan, Province of China, 14/07/16. https://doi.org/10.1007/978-981-10-7850-7_1

Performance on clustering routing for naturally deployed wireless sensor networks. / Huang, Yung Fa; Wang, Jyu Wei; Jenq, John; Chen, Hsing Chung; Hsu, Chung Hsin.

Mobile Internet Security - 1st International Symposium, MobiSec 2016, Revised Selected Papers. ed. / Fang-Yie Leu; Igor Kotenko; Ilsun You; Hsing-Chung Chen. Springer Verlag, 2018. p. 1-9 (Communications in Computer and Information Science; Vol. 797).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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N2 - This paper investigates the optimization on the energy efficiency for naturally scattering deployed cluster-based wireless sensor networks (WSNs). The energy efficiency depends on the number of clusters in WSNs where the cluster head (HD) transmitting sensing data received from each sensor in the cluster and dissipate large energy due to the long distance to the sink. Moreover, the nodes deployment would be Gaussian distributed in large area for naturally scattering senior nodes. Thus, in this paper we based on the numerical results in previous works and further simulated the optimization the number of cluster for a large area WSNs.

AB - This paper investigates the optimization on the energy efficiency for naturally scattering deployed cluster-based wireless sensor networks (WSNs). The energy efficiency depends on the number of clusters in WSNs where the cluster head (HD) transmitting sensing data received from each sensor in the cluster and dissipate large energy due to the long distance to the sink. Moreover, the nodes deployment would be Gaussian distributed in large area for naturally scattering senior nodes. Thus, in this paper we based on the numerical results in previous works and further simulated the optimization the number of cluster for a large area WSNs.

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Huang YF, Wang JW, Jenq J, Chen HC, Hsu CH. Performance on clustering routing for naturally deployed wireless sensor networks. In Leu F-Y, Kotenko I, You I, Chen H-C, editors, Mobile Internet Security - 1st International Symposium, MobiSec 2016, Revised Selected Papers. Springer Verlag. 2018. p. 1-9. (Communications in Computer and Information Science). https://doi.org/10.1007/978-981-10-7850-7_1