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

Author

Wang, LeiChun ; Ma, Chuanxiang ; Han, Zhe

Author_Institution

Sch. of Math. & Comput. Sci., Hubei Univ., Wuhan

Volume

3

fYear

2009

fDate

7-8 March 2009

Firstpage

708

Lastpage

712

Abstract

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.

Keywords

telecommunication network management; wireless sensor networks; LISABSAA; node management; spatial autocorrelation; subarea algorithm; wireless sensor networks; Autocorrelation; Computer network management; Computer science; Computer science education; Educational technology; Mathematics; Memory; Software algorithms; Technology management; Wireless sensor networks; Spatial autocorrelation; Sub-area; Wireless Sensor Networks (simply WSNs);

fLanguage

English

Publisher

ieee

Conference_Titel

Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-1-4244-3581-4

Type

conf

DOI

10.1109/ETCS.2009.692

Filename

4959410