Context-Aware Hierarchy k-Depth Estimation and Energy-Efficient Clustering in Ad-hoc Network

被引:0
|
作者
Mun, Chang-min [1 ]
Kim, Young-hwan [2 ]
Lee, Kang-whan [1 ]
机构
[1] Korea Univ Technol & Educ, Adv Technol Res Ctr, Ubiquitous Chip Lab, Cheonan, South Korea
[2] Korea Univ Technol & Educ Cheonan, Adv Technol Res Ctr, Lab Intelligent Networks, Cheonan, South Korea
关键词
Ad hoc network; distributed clustering; hierarchy clustering; optimal depth;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Ad-hoc Network needs an efficient node management because the wireless network has energy constraints. Previously proposed a hierarchical routing protocol reduce the energy consumption and prolong the network lifetime. Further, there is a deficiency conventional works about the energy efficient depth of cluster associated with the overhead. In this paper, we propose a novel top-down method clustered hierarchy, CACHE(Context-aware Clustering Hierarchy and Energy-Efficient). The proposed analysis could estimate the optimum k-depth of hierarchy architecture in clustering protocols.
引用
收藏
页码:404 / +
页数:2
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