TY - GEN
T1 - Data-aware clustering hierarchy for wireless sensor networks
AU - Wu, Xiaochen
AU - Wang, Peng
AU - Wang, Wei
AU - Shi, Baile
N1 - Funding Information:
This research is supported in part by the National High-Tech Research and Development Plan of China under Grant 2006AA01Z234 and the National Basic Research Program of China under grant 2005CB321905.
PY - 2008
Y1 - 2008
N2 - In recent years, the wireless sensor network (WSN) is employed a wide range of applications. But existing communication protocols for WSN ignore the characteristics of collected data and set routes only according to the mutual distance and residual energy of sensors. In this paper we propose a Data-Aware Clustering Hierarchy (DACH), which organizes the sensors based on both distance information and data distribution in the network Furthermore, we also present a multi-granularity query processing method based on DACH, which can estimate the query result more efficiently. Our empirical study shows that DACH has higher energy efficiency than Low-Energy Adaptive Clustering Hierarchy (LEACH), and the multi-granularity query processing method based on DACH brings more accurate results than a random access system using same cost of energy.
AB - In recent years, the wireless sensor network (WSN) is employed a wide range of applications. But existing communication protocols for WSN ignore the characteristics of collected data and set routes only according to the mutual distance and residual energy of sensors. In this paper we propose a Data-Aware Clustering Hierarchy (DACH), which organizes the sensors based on both distance information and data distribution in the network Furthermore, we also present a multi-granularity query processing method based on DACH, which can estimate the query result more efficiently. Our empirical study shows that DACH has higher energy efficiency than Low-Energy Adaptive Clustering Hierarchy (LEACH), and the multi-granularity query processing method based on DACH brings more accurate results than a random access system using same cost of energy.
KW - Communication protocol
KW - Data distribution
KW - Multi-granularity query
KW - Wireless sensor network
UR - http://www.scopus.com/inward/record.url?scp=44649139867&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-68125-0_77
DO - 10.1007/978-3-540-68125-0_77
M3 - Conference contribution
AN - SCOPUS:44649139867
SN - 3540681248
SN - 9783540681243
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 795
EP - 802
BT - Advances in Knowledge Discovery and Data Mining - 12th Pacific-Asia Conference, PAKDD 2008, Proceedings
T2 - 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2008
Y2 - 20 May 2008 through 23 May 2008
ER -