期刊名称：International Journal of Computer Science, Engineering and Applications (IJCSEA)
印刷版ISSN：2231-0088
电子版ISSN：2230-9616
出版年度：2012
卷号：2
期号：4
DOI：10.5121/ijcsea.2012.2405
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：A multidisciplinary research area such as wireless sensor networks (WSN) have been invoked the monitoring of remote physical environment and are used for a wide range of applications ranging from defense personnel to many scientific research, statistical application, disaster area and War Zone. These networks are constraint with energy, memory and computing power enhance efficient techniques are needed for data aggregation, data collection, query processing, decision making and routing in sensor networks. The problem encountered in the recent past was of the more battery power consumption as activity increases, need more efficient data aggregation and collection techniques with right decision making capabilities. Therefore, this paper proposed the efficient and effective architecture and mechanism of energy efficient techniques for data aggregation and collection in WSN using principles like global weight calculation of nodes, data collection for cluster head and data aggregation techniques using data cube aggregation.
关键词：A multidisciplinary research area such as wireless sensor networks (WSN) have been invoked the;monitoring of remote physical environment and are used for a wide range of applications ranging from;defense personnel to many scientific research; statistical application; disaster area and War Zone. These;networks are constraint with energy; memory and computing power enhance efficient techniques are;needed for data aggregation; data collection; query processing; decision making and routing in sensor;networks. The problem encountered in the recent past was of the more battery power consumption as;activity increases; need more efficient data aggregation and collection techniques with right decision;making capabilities. Therefore; this paper proposed the efficient and effective architecture and mechanism;of energy efficient techniques for data aggregation and collection in WSN using principles like global;weight calculation of nodes; data collection for cluster head and data aggregation techniques using data;cube aggregation.
