an aggregate query processing system for wireless network in korea

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Home Conferences SAC Proceedings SAC 10 On processing location based topk queries in the wireless broadcasting system researcharticle On processing location based topk queries in the wireless broadcasting system Share on Authors Ha Rim Jung Korea University Seoul Korea Korea University Seoul Korea

Mar 12 2015 · Innetwork processing of an iceberg join query in wireless sensor networks based on 2way fragment semijoins Kang H1 Author information 1School of Computer Science and Engineering ChungAng University Seoul 156756 Korea hckang

Jul 01 2011 · Previous studies propose innetwork aggregate query processing in which sensor nodes use aggregate operators to reduce the number of messages thereby conserving energy When multiple aggregate queries are submitted to wireless sensor networks it is possible to generate the intermediate results of these queries

Prior systems however tend to view query processing in sensor networks simply as a powerconstrained version of traditional query processing given some set of data they 1 This is a preliminary release of an article accepted by ACM Transactions on Database Systems

Jan 01 2016 · We propose Secure Data Aggregation for Multiple Queries SDAMQ in Wireless Sensor Networks where multiple aggregate queries from the sink are authenticated and distributed to the sensor nodes The sensor nodes respond by aggregating data belonging to multiple coexisting queries into a single packet there by reducing the transmission cost

Dec 25 2008 · While we use online analytical query processing OLAP solutions for relatively small datasets we utilize wavelet based analytical query processing techniques developed by our Lab 10 11 for larger datasets Figure 2 depicts two North and South bound speed graphs that are drawn based on the results of a spatiotemporal aggregate query

Feb 23 2017 · With the development of mobile devices interest in the mobile P2Pbased services has increased However the existing schemes spend too much cost to process a continuous range query in mobile P2P network environments In this paper we propose a new efficient range query processing scheme in mobile P2P network environments The proposed scheme consists of two phases

carries systemassigned annotations such as tuple’s arrival timestamp Continuous queries are defined through a boxesandarrowsbased dataflow diagram which we call a query network Each box 1Borealis is a distributed stream processing system Each Borealis node runs Aurora as its underlying query processing engine T 12 input arrival

the performance of purely local query optimization techniques for processing queries that span such decomposed relations 1 INTRODUCTION Wireless sensor networks are an emerging class of highly distributed systems with widespread applicability In such networks nodes generate process and store sensor readings within the network

A query and results propagating through the network in power consumption and increased accuracy of query results over nonacquisitional systems that do not actively control when and where data is collected We address a number of questions related to query processing on sensor networks focusing in particular on ACQP issues such as the following

Dec 01 2006 · Consider a node Root which initiates a continuous query over the values observed by a set of data sources and requests that the results of this query be reported to it at regular time time interval between two such consecutive time periods is referred to as the epoch of the query The continuous query is disseminated through the network in search of the sensor nodes that

Dec 25 2008 · While we use online analytical query processing OLAP solutions for relatively small datasets we utilize wavelet based analytical query processing techniques developed by our Lab 10 11 for larger datasets Figure 2 depicts two North and South bound speed graphs that are drawn based on the results of a spatiotemporal aggregate query

Mar 12 2015 · Innetwork processing of an iceberg join query in wireless sensor networks based on 2way fragment semijoins Kang H1 Author information 1School of Computer Science and Engineering ChungAng University Seoul 156756 Korea hckang

database items When applied on the sensor network data the aggregation queries are the main means to extract the abstract characteristics of the phenomenon from the samples taken in the environment For example the following query is a range aggregate query on a network of sensor nodes with humidity and temperature sensors SELECT AVGhumidity