Hierarchical node clustering approach for energy savings in WSNs

Siho Cha, Jong Eon Lee, Dae Young Kim, Seokjoong Kang, Kuk Hyun Cho, Minho Jo, Nobok Lee, Younghyun Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

This paper proposes an energy efficient clustering algorithm for self-organizing and self-managing WSNs, called SNOWCLUSTER. It introduces region node selection as well as cluster head election based on the residual battery capacity of nodes to reduce the costs of managing sensor nodes and of the communication among them. SNOWCLUSTER clusters periodically to select cluster heads that are richer in residual energy level, compared to the other nodes to achieve load balancing and extend the lifetime of every individual sensor nodes. After the cluster heads are selected, SNOWCLUSTER selects the region nodes in the cluster heads based on the energy level of them and chooses gateway nodes between clusters based on their location information. The effectiveness of the proposed SNOWCLUSTER algorithm is validated through actual implementation and simulation using ns-2. The simulation results reveal that the proposed framework allows smaller energy consumption for network management and longer network lifetime than the existing schemes such as LEACH and LEACH-C for practical size networks.

Original languageEnglish
Title of host publicationProceedings - SERA 2007: Fifth ACIS International Conference on Software Engineering Research, Management, and Applications
Pages253-259
Number of pages7
DOIs
Publication statusPublished - 2007 Dec 1
Externally publishedYes
EventSERA 2007: Fifth ACIS International Conference on Software Engineering Research, Management, and Applications - Busan, Korea, Republic of
Duration: 2007 Aug 202007 Aug 22

Other

OtherSERA 2007: Fifth ACIS International Conference on Software Engineering Research, Management, and Applications
CountryKorea, Republic of
CityBusan
Period07/8/2007/8/22

Fingerprint

Sensor nodes
Electron energy levels
Energy conservation
Network management
Clustering algorithms
Resource allocation
Energy utilization
Communication
Costs
Node
Energy saving
Clustering
Energy

ASJC Scopus subject areas

  • Software
  • Management Science and Operations Research
  • Engineering(all)

Cite this

Cha, S., Lee, J. E., Kim, D. Y., Kang, S., Cho, K. H., Jo, M., ... Kim, Y. (2007). Hierarchical node clustering approach for energy savings in WSNs. In Proceedings - SERA 2007: Fifth ACIS International Conference on Software Engineering Research, Management, and Applications (pp. 253-259). [4296943] https://doi.org/10.1109/SERA.2007.89

Hierarchical node clustering approach for energy savings in WSNs. / Cha, Siho; Lee, Jong Eon; Kim, Dae Young; Kang, Seokjoong; Cho, Kuk Hyun; Jo, Minho; Lee, Nobok; Kim, Younghyun.

Proceedings - SERA 2007: Fifth ACIS International Conference on Software Engineering Research, Management, and Applications. 2007. p. 253-259 4296943.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cha, S, Lee, JE, Kim, DY, Kang, S, Cho, KH, Jo, M, Lee, N & Kim, Y 2007, Hierarchical node clustering approach for energy savings in WSNs. in Proceedings - SERA 2007: Fifth ACIS International Conference on Software Engineering Research, Management, and Applications., 4296943, pp. 253-259, SERA 2007: Fifth ACIS International Conference on Software Engineering Research, Management, and Applications, Busan, Korea, Republic of, 07/8/20. https://doi.org/10.1109/SERA.2007.89
Cha S, Lee JE, Kim DY, Kang S, Cho KH, Jo M et al. Hierarchical node clustering approach for energy savings in WSNs. In Proceedings - SERA 2007: Fifth ACIS International Conference on Software Engineering Research, Management, and Applications. 2007. p. 253-259. 4296943 https://doi.org/10.1109/SERA.2007.89
Cha, Siho ; Lee, Jong Eon ; Kim, Dae Young ; Kang, Seokjoong ; Cho, Kuk Hyun ; Jo, Minho ; Lee, Nobok ; Kim, Younghyun. / Hierarchical node clustering approach for energy savings in WSNs. Proceedings - SERA 2007: Fifth ACIS International Conference on Software Engineering Research, Management, and Applications. 2007. pp. 253-259
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