A Local Indicator of Spatial Autocorrelation Based Sub-area Algorithm for Wireless Sensor Networks

被引：0

作者：

Wang, Leichun ^{[1
]}

Ma, Chuanxiang ^{[1
]}

Han, Zhe ^{[2
]}

机构：

[1] Hubei Univ, Sch Math & Comp Sci, Wuhan 430062, Peoples R China

[2] Wuhan Univ, Natl Engn Ctr Multimedia Software, Wuhan, Peoples R China

来源：

PROCEEDINGS OF THE FIRST INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND COMPUTER SCIENCE, VOL III | 2009年

关键词：

Wireless Sensor Networks (simply WSNs); Spatial autocorrelation; Sub-area;

D O I：

10.1109/ETCS.2009.692

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

To enhance management and cooperation of nodes in wireless sensor networks (simply WSNs), a local indicator of spatial autocorrelation (namely LISA) based sub-area algorithm, LISABSAA, is presented. Firstly, LISABSAA divides WSNs into spatial virtual grids, which are basic management units. According to LISAs of different spatial virtual grids, LISABSAA then divides WSNs into different areas by combining neighboring spatial objects. Experimental results show that LISABSAA can efficiently sub-area WSNs by LISABSAA.

引用

页码：708 / +

页数：3

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