@inproceedings{d326ab21d60c4632ac79dfa1792e6435,
title = "Genetic algorithmic topology control for two-tiered wireless sensor networks",
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.",
keywords = "GA-OTC, Multiple objective functions, WSNs",
author = "Donghwan Lee and Wonjun Lee and Joongheon Kim",
year = "2007",
doi = "10.1007/978-3-540-72590-9_53",
language = "English",
isbn = "9783540725893",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 4",
pages = "385--392",
booktitle = "Computational Science - ICCS 2007 - 7th International Conference, Proceedings",
edition = "PART 4",
note = "7th International Conference on Computational Science, ICCS 2007 ; Conference date: 27-05-2007 Through 30-05-2007",
}