ω-LLC: weighted low-energy localized clustering for embedded networked sensors

FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II(2005)

引用 1|浏览0
暂无评分
摘要
This paper addresses a weighted dynamic localized clustering unique to a hierarchical sensor network structure, while reducing the energy consumption of cluster heads and as a result prolonging the network lifetime. Low-Energy Localized Clustering, our previous work, dynamically regulates the radii of clusters to minimize energy consumption of cluster heads while the network field is being covered. We present weighted Low-Energy Localized Clustering (w-LLC), which consumes less energy than LLC with weight functions.
更多
查看译文
关键词
energy consumption,cluster head,hierarchical sensor network structure,network field,network lifetime,previous work,weight function,embedded networked sensor,weighted low-energy
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要