Title :
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
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);
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
DOI :
10.1109/ETCS.2009.692
