Genetic algorithmic topology control for two-tiered wireless sensor networks

Donghwan Lee; Wonjun Lee; Joongheon Kim

doi:10.1007/978-3-540-72590-9_53

Genetic algorithmic topology control for two-tiered wireless sensor networks

Donghwan Lee, Wonjun Lee, Joongheon Kim

Graduate School of Information Study

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

6 Citations (Scopus)

Abstract

This paper proposes an optimized topology control scheme (GA-OTC) based on a genetic algorithm for clustering-based hierarchical wireless sensor networks (WSNs). By using a genetic algorithm, we can obtain optimal solutions to multiple objective functions according to the two criteria of both balanced energy consumption and minimized total energy consumption of cluster heads while the entire WSNs field is covered by clusters. Through performance evaluation studies, we show that GA-OTC achieves desirable properties.

Original language	English
Title of host publication	Computational Science - ICCS 2007 - 7th International Conference, Proceedings
Publisher	Springer Verlag
Pages	385-392
Number of pages	8
Edition	PART 4
ISBN (Print)	9783540725893
DOIs	https://doi.org/10.1007/978-3-540-72590-9_53
Publication status	Published - 2007
Event	7th International Conference on Computational Science, ICCS 2007 - Beijing, China Duration: 2007 May 27 → 2007 May 30

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 4
Volume	4490 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	7th International Conference on Computational Science, ICCS 2007
Country	China
City	Beijing
Period	07/5/27 → 07/5/30

Keywords

GA-OTC
Multiple objective functions
WSNs

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-72590-9_53

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Cite this

Lee, D., Lee, W., & Kim, J. (2007). Genetic algorithmic topology control for two-tiered wireless sensor networks. In Computational Science - ICCS 2007 - 7th International Conference, Proceedings (PART 4 ed., pp. 385-392). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4490 LNCS, No. PART 4). Springer Verlag. https://doi.org/10.1007/978-3-540-72590-9_53

Genetic algorithmic topology control for two-tiered wireless sensor networks. / Lee, Donghwan; Lee, Wonjun; Kim, Joongheon.

Computational Science - ICCS 2007 - 7th International Conference, Proceedings. PART 4. ed. Springer Verlag, 2007. p. 385-392 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4490 LNCS, No. PART 4).

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

Lee, D, Lee, W & Kim, J 2007, Genetic algorithmic topology control for two-tiered wireless sensor networks. in Computational Science - ICCS 2007 - 7th International Conference, Proceedings. PART 4 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 4, vol. 4490 LNCS, Springer Verlag, pp. 385-392, 7th International Conference on Computational Science, ICCS 2007, Beijing, China, 07/5/27. https://doi.org/10.1007/978-3-540-72590-9_53

Lee D, Lee W, Kim J. Genetic algorithmic topology control for two-tiered wireless sensor networks. In Computational Science - ICCS 2007 - 7th International Conference, Proceedings. PART 4 ed. Springer Verlag. 2007. p. 385-392. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 4). https://doi.org/10.1007/978-3-540-72590-9_53

Lee, Donghwan ; Lee, Wonjun ; Kim, Joongheon. / Genetic algorithmic topology control for two-tiered wireless sensor networks. Computational Science - ICCS 2007 - 7th International Conference, Proceedings. PART 4. ed. Springer Verlag, 2007. pp. 385-392 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 4).

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