Paper Info
Title
A Multi-model Based Range Query Processing Algorithm for the WSN.
Abstract
One important research topic for the wireless sensor network is about the range query, i.e., retrieving the areas in the sensor network where the temperature is between 30 ä﾿C and 35ä﾿C. The traditional approaches are not feasible for such query since they use a single probability model to describe the data distribution of the sensor nodes, which is not accurate. In this paper, we propose a multi-model based range query processing algorithm, which utilizes multiple probability models to improve the accuracy and saves the energy consumption of the single model based algorithms. We conduct experiments on real dataset. The experimental results show that the multi-model based algorithm can save more energy than that consumed by the single model based algorithm.
Year
DOI
Venue
2014
10.1007/978-3-319-07782-6_49
WASA
Keywords
Field
DocType
Range Query, Histogram, Multi-Model Driven, Query Processing, Wireless Sensor Network
Query optimization,Histogram,Data mining,Query expansion,Computer science,Range query (data structures),Brooks–Iyengar algorithm,Algorithm,Online aggregation,Energy consumption,Wireless sensor network
Conference
Volume
ISSN
Citations 
8491
0302-9743
0
PageRank 
References 
Authors
0.34
16
5
Name
Order
Citations
PageRank
Guilin Li1116.09
Xing Gao2158.37
Longjiang Guo317726.73
Juncong Lin410520.73
Ying Gao516.48