@inproceedings{23e3351bd6b54eba812e63a7f7c7421d,
title = "On energy-aware dynamic clustering for hierarchical sensor networks",
abstract = "This paper proposes an energy-efficient nonlinear programming based dynamic clustering protocol (NLP-DC) unique to sensor networks to reduce the consumption of energy of cluster heads and to prolong the sensor network lifetime. NLP-DC must cover the entire network, which is another basic functionality of topology control. To achieve these goals, NLP-DC dynamically regulates the radius of each cluster for the purpose of minimizing energy consumption of cluster heads while the entire sensor network field is still being covered by each cluster. We verify both energy-efficiency and guarantee of perfect coverage. Through simulation results, we show that NLP-DC achieves the desired properties.",
author = "Joongheon Kim and Wonjun Lee and Eunkyo Kim and Joonmo Kim and Choonhwa Lee and Sungjin Kim and Sooyeon Kim",
note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; EUC 2005 Workshops: UISW, NCUS, SecUbiq, USN, and TAUES ; Conference date: 06-12-2005 Through 09-12-2005",
year = "2005",
doi = "10.1007/11596042_48",
language = "English",
isbn = "3540308032",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "460--469",
editor = "Tomoya Enokido and Lu Yan and Bin Xiao and Daeyoung Kim and Yuanshun Dai and Yang, {Laurence T.}",
booktitle = "Embedded and Ubiquitous Computing - EUC 2005 Workshops",
}