Efficient Iceberg Query Processing In Sensor Networks

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Open Research: Energy-Efficient Top-k Query Processing in . , The large volume of data generated by sensors needs to be processed to respond to theusers queries. However efficient processing of queries in sensor networks poses greatchallenges due to the unique characteristics imposed on sensor networks including slow

SafeQ: Secure and efficient query processing in sensor . , CiteSeerX - Document Details Isaac Councill Lee Giles Pradeep Teregowda : Abstract—Thearchitecture of two-tiered sensor networks where storage nodes serve as an intermediatetier between sensors and a sink for storing data and processing queries has been widely

PDF Global Iceberg Detection over Distributed Data Streams , Efficient Iceberg Query Processing in Sensor Networks. Article. Dec 2014; In this paperwe propose an energy-efficient iceberg query processing technique in sensor networks. Tocompactly

Article: Efficient iceberg join processing in wireless . , In this paper we study the problem of iceberg join processing in wireless sensornetworks. The iceberg join query only includes a small fraction of data in its resultset yet still contains the most & 39;interesting& 39; and useful data relationships and

IJA: an efficient algorithm for query processing in sensor . , Therefore in this paper we propose and describe an Incremental Join Algorithm IJA inSensor Networks to reduce the overhead caused by moving a join pair to the final joinnode or to minimize the communi ion cost that is the main consumer of the battery when

Efficient skyline query processing in wireless sensor networks , His research interests include mobile/wireless data management sensor networks skylinequery processing spatio-temporal databases and web information retrieval. Chiang Leereceived the BS degree from National Cheng-Kung University Taiwan in 1980 and the ME

Energy-Efficient Data Organization and Query Processing in . , Recent sensor networks research has produced a class of data storage and query processingtechniques called Data-Centric Storage that leverages locality-preserving distributedindexes like DIM DIFS and GHT to efficiently answer multi-dimensional range and

Efficient Iceberg Query Processing in Sensor Networks The . , However sensor nodes have limited energy resources and communi ion is a primary sourceof the energy consumption. Thus reducing the communi ion overhead is the most criticalissue in sensor networks. In this paper we propose an energy-efficient iceberg query

In-Network Processing of an Iceberg Join Query in Wireless . , We investigate the in-network processing of an iceberg join query in wireless sensornetworks WSNs . An iceberg join is a special type of join where only those joined tupleswhose cardinality exceeds a certain threshold called iceberg threshold are qualified

A Distributed Energy Efficient Query Processing in Self . , A Distributed Energy Efficient Query Processing in Self-Organized Wireless SensorNetworks Abstract—Spatial query execution is an essential functionality of a sensornetwork. Redundancy within a sensor network can be exploited to reduce the communi ion

International Journal of Sensor Networks IJSNet . , IJSNet proposes and fosters discussion on and dissemination of issues related to researchand appli ions of distributed and wireless/wired sensor and actuator networks. Sensornetworks is an interdisciplinary field including many fields such as wireless networks

Secure and Efficient Cluster-Based Range Query Processing . , In wireless sensor networks preserving privacy is more important and has attracted moreattentions. Protecting data and sensor privacy while collecting and computing queryresults is a challenge. In cluster-based sensor networks when a user queries a sensitive

Heejung Yang& 39;s research works Korea Advanced Institute . , Heejung Yang& 39;s 6 research works with 17 citations and 75 reads including: Erratum to‘An efficient top-k query processing framework in mobile sensor networks’ Data Knowl.Eng. 102 2016 78

Energy-efficient and privacy-preserving spatial range . , A framework for spatio-temporal query processing over wireless sensor networks. In:Proceeedings of the 1st international workshop on data management for sensor networks: inconjunction with VLDB 2004 Toronto ON Canada 30 August 2004 pp. 104 – 110. New York:

Efficient and Robust Serial Query Processing Techniques . , In this paper we investigate the issue of efficient and robust query processing byproposing a novel approach which we refer to as GBT Greedy and Boundary Traversal .GBT is of a serialized and localized nature i.e. each node does not maintain any

Query Privacy Preserving for Data Aggregation in Wireless . , Wireless Sensor Networks WSNs are increasingly involved in many appli ions. Howevercommuni ion overhead and energy efficiency of sensor nodes are the major concerns inWSNs. In addition the broadcast communi ion mode of WSNs makes the network vulnerable

International Journals - KAIST , 62 D.W. Choi and C.W. Chung "REQUEST : A Framework for Efficient Processing ofRegion-based Queries in Sensor Networks" Information Sciences Vol. 248 Issue 1November 2013 pp. 151-167. 61 J.H. Yun and C.W. Chung "Efficient Probabilistic

An Energy-Efficient and Privacy-Preserving Range Query . , Abstract: Applying range query processing in wireless sensor networks WSNs whilepreserving data privacy is a challenge. This paper proposes an energy-efficient andprivacy-preserving range query processing in two-tiered wireless sensor networks which

BBS: An Energy Efficient Localized Routing Scheme for . , Each query response is based on a group of sensor readings bounded by query constraints.Since sensors are powered by batteries the energy constraint of sensors challenges thedesigns of energy-efficient query processing at all levels in the sensor network protocol

SafeQ: Secure and Efficient Query Processing in Sensor . , paper we consider a two-tiered sensor network architecture in which storage nodes gatherdata from nearby sensors and answer queries from the sink of the network. The storagenodes serve as an intermediate tier between the sensors and the sink for storing data and

Ef Cient Iceberg Query Processing In Sensor Networks , Dec 21 2014· However sensor nodes have limited energy resources and communi ion is aprimary source of the energy consumption. Thus reducing the communi ion overhead isthe most critical issue in sensor networks. In this paper we propose an energy-efficient

Corona: Energy-Efficient Multi-query Processing in . , Abstract. Wireless sensor networks WSNs are a core infrastructure for automaticenvironmental monitoring. We developed Corona as an in-network distributed queryprocessor that allows to share a sensor network between several users with a declarative

SRJA: Iceberg Join Processing in Wireless Sensor Networks . , Abstract: The iceberg join query is an important type of query which explores therelationships among the sensing data in wireless sensor network.It outputs the joinedtuples whose aggregated results are above some threshold constraint. As the number of

Modern Query Optimization Technique Nature Inspired for . , This histogram supports the queries in the network 1 . A query engine and queryoperators are used to process the queries in WSNs. ADAGA Adaptive Aggregation Algorithmfor sensor networks is proposed for query processing in the identical manner i.e.

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Energy-Efficient Data Gathering in Query Processing of . , Networked sensor systems of large scale are becoming available in the foreseeable futureand provide economical and practical solutions for data collection and environmentmonitoring. A high-level abstraction of sensor network is to model it as a distributed

Ef Cient Iceberg Query Processing In Sensor Networks , Efficient Iceberg Query Processing in Sensor Networks. Abstract—The architecture oftwo-tiered sensor networks where storage nodes serve as an intermediate tier betweensensors and a sink for storing data and processing queries has been widely adopted

Energy Efficient Design for Window Query Processing in . , In this paper we propose an energy efficient design for window query processing insensor networks. A new design is structured to process the window queries. The use ofdistributed form of spatial indexing introduces greater flexibility and robustness as

Energy-Efficient Data Management For Sensor Networks: A . , Queries and View Nodes. The sensor network is pro-grammed through declarative querieswhich abstract the func-tionality of a large class of appli ions into a commoninterface of expressive queries. Our work does not depend on any specific query ;

CiteSeerX — Energy-efficient skyline query processing and . , CiteSeerX - Document Details Isaac Councill Lee Giles Pradeep Teregowda : The skylinequery as an important operator in databases for multi-preference analysis and decisionmaking has re-ceived much attention recently due to its wide appli ion backgrounds. In

Energy-Efficient and Robust Spatial Window Aggregation . , Abstract: In wireless sensor networks users often submit spatial window aggregationqueries to obtain the summary information about a local area in the monitored region forexample "retrieving the average temperature from region A.". The current

Energy Efficient Query Processing based on Multiple Query . , When multiple queries are requested for processing in a wireless sensor network energyconsumption can be significantly reduced if common partial results among similar queriescan be effectively shared. In this paper we propose an energy efficient multi-query

Aggregate Query Processing In Peer To Peer Networks , Efficient iceberg query processing in sensor networks solutions just right foryou.Journal of theoretical and applied information technology is a peer-reviewedelectronic research papers review papers journal with aim of promoting and publishing

In-network processing of an iceberg join query in wireless . , In-network processing of an iceberg join query in wireless sensor networks based on 2-wayfragment semijoins. Kang H 1 . Author information: 1 School of Computer Science andEngineering Chung-Ang University Seoul 156-756 Korea. hckang cau.ac.kr.

Efficient Iceberg Query Processing in Sensor Networks , Efficient Iceberg Query Processing in Sensor Networks Heejung Yang and Chin-Wan Chung∗Department of Computer Science KAIST Daejeon 305-701 Republic of Korea ∗Correspondingauthor: chungcw kaist.edu The iceberg query finds data whose aggregate values exceed a

Energy Efficient Spatial Query Processing in Wireless . , Because a sensor network depends on limited battery power energy saving is important toincrease the sensor network lifespan. We propose semi-distributed spatial query indexingstructure that disseminates a query into the network and retrieves data energy

Energy-efficient skyline query processing and maintenance . , Energy-efficient skyline query processing and maintenance in sensor networks. In thispaper we consider the skyline query problem in Wireless Sensor Network with an objectiveto maximize the network lifetime by proposing filter-based distributed algorithms for

Efficient Continuous Skyline Query Processing in Wireless . , sensors Article E cient Continuous Skyline Query Processing in Wireless Sensor NetworksYingyuan Xiao 12* Xu Jiao 2 Hongya Wang 3 Ching-Hsien Hsu 4* Li Liu 2 andWenguang Zheng 2 1 Key Laboratory of Computer Vision and System Ministry of Edu ion

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Efficient Iceberg Query Processing In Sensor Networks