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

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. Accordin...

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Bibliographic Details
Published in2009 First International Workshop on Education Technology and Computer Science Vol. 3; pp. 708 - 712
Main Authors Leichun Wang, Chuanxiang Ma, Zhe Han
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2009
Subjects
Autocorrelation
Computer network management
Computer science
Computer science education
Educational technology
Mathematics
Memory
Software algorithms
Spatial autocorrelation
Sub-area
Technology management
Wireless sensor networks
Wireless Sensor Networks (simply WSNs)
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Summary: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.
ISBN:1424435811
9781424435814
0769535577
9780769535579
DOI:10.1109/ETCS.2009.692