Aggregate Query Processing In Wireless Sensor Networ

Processing approximate aggregate queries in wireless Consider a node Root, which initiates a continuous query over the values observed by a set of data sources

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Aggregate Query Processing In Wireless Sensor Networ

  • Processing approximate aggregate queries in wireless

    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 periodsThe 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 theProcessing Approximate Aggregate Queries in Wireless Sensor Networks Antonios Deligiannakisa Yannis Kotidisb Nick Roussopoulosa aUniversity of Maryland bAT&T LabsResearch Abstract Innetwork data aggregation has been recently proposed as an effective means to reduce the number of messages exchanged in wireless sensor networksProcessing Approximate Aggregate Queries in WirelessWireless sensor networks have been widely used in many environmental monitoring applications []In most of these applications, aggregate queries, such as SUM, COUNT, AVERAGE (AVG), MIN and MAX, are often used as statistics collected from sensors [12, 13, 22]However, it is known that data collected from sensors are often noisy for various reasons,Robust and Efficient Aggregate Query Processing in

  • Optimizing innetwork aggregate queries in wireless

    This study proposes a method of innetwork aggregate query processing to reduce the number of messages incurred in a wireless sensor network When aggregate queries are issued to the resourceconstrained wireless sensor network, it is important toWireless sensor networks (WSNs) have received increasing attention in the past decade In existing studies for query processing of WSNs, each sensor node measures environmental parameters such as temperature, light and humidity around its locationAggregate query processing in the presence of duplicatesThis study proposes a method of innetwork aggregate query processing to reduce the number of messages incurred in a wireless sensor network When aggregate queries are issued toOptimizing innetwork aggregate queries in wireless

  • (PDF) Assembling regions for efficacious aggregate query

    Wireless sensor networks generate a vast amount of data This data, however, must be sparingly extracted to conserve energy, usually the most precious resource in batterypowered sensorsAssembling Regions for Efficacious Aggregate Query Processing in Wireless Sensor Networks by Apostolos Fertis Diploma, Electrical and Computer Engineering (2003) National Technical University of Athens Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements ofAssembling Regions for Efficacious Aggregate Queryinnetwork query processing for power saving in wireless sensor networks [3][5][6] Prior works [2][6] explore the feature of innetwork aggregation in which sensor nodes in a routing tree are able to perform aggregate operators The authors in [1] proposed innetwork materialized view that could be shared by multipleOptimizing Multiple InNetwork Aggregate Queries in

  • Data Aggregation in Wireless Sensor Network: A Survey

    Wireless sensor networks (WSNs) consist of sensor nodes These networks have huge application in habitat monitoring, disaster management, security and military, etc Wireless sensor nodes are very small in size and have limited processing capability very low battery power This restriction of low battery power makes the sensor networkProcessing Approximate Aggregate Queries in Wireless Sensor Networks Antonios Deligiannakisa Yannis Kotidisb Nick Roussopoulosa aUniversity of Maryland bAT&T LabsResearch Abstract Innetwork data aggregation has been recently proposed as an effective means to reduce the number of messages exchanged in wireless sensor networksProcessing Approximate Aggregate Queries in WirelessCiteSeerX Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Innetwork data aggregation has been recently proposed as an e#ective means to reduce the number of messages exchanged in wireless sensor networks Nodes of the network form an aggregation tree, in which parent nodes aggregate the values received from their children and propagateProcessing Approximate Aggregate Queries in Wireless

  • Optimizing Multiple InNetwork Aggregate Queries in

    innetwork query processing for power saving in wireless sensor networks [3][5][6] Prior works [2][6] explore the feature of innetwork aggregation in which sensor nodes in a routing tree are able to perform aggregate operators The authors in [1] proposed innetwork materialized view that could be shared by multipleAdaptive query operators (algorithms) can adjust their behavior in response to specific events that take place during data processing In this paper, we propose an adaptive innetwork aggregation operator for query processing in sensor nodes of a WSN, called ADAGA (ADaptive AGgregation Algorithm for sensor networks)An adaptive innetwork aggregation operator for querynodes, so has been used as a paradigm in energyconstrained wireless sensor networks To process an aggregate query, innetwork aggregation consists of distribution and collection phases [13] In the distribution phase, a tree rooted at the base station and spanning all the sensor nodes is constructedEnergyEfficient Aggregate Query Evaluation in Wireless

  • Data Aggregation in Wireless Sensor Network: A Survey

    Wireless sensor networks (WSNs) consist of sensor nodes These networks have huge application in habitat monitoring, disaster management, security and military, etc Wireless sensor nodes are very small in size and have limited processing capability very low battery power This restriction of low battery power makes the sensor networkDistributed in network query processor 3 TinyDB or Cougar Wireless sensor network Query input Result collection 2 Query parsing Query optimization 1 Query result storage and display Figure 1 Architecture of a sensor network query processor Numbers indicate the sequence of steps involved in processing a queryQuery Processing in Sensor NetworksWe present a novel approach to processing continuous aggregate queries in sensor networks, which lifts the assumption of treebased routing Given a query workload and a specialpurpose gateway node where results are expected, the query optimizer exploits query correlations in order to generate an energyefcient distributed evaluation planPoster Abstract: Routing and Processing Multiple

  • Aggregate Location Monitoring for Wireless Sensor

    locationbased query processing in wireless sensor networks However, since all previous works in this area rely on users’ exact locations and/or identities, none of these works consider query processing over aggregate location data Spatiotemporal histograms Research efforts for spatiotemporal histograms aim to provide selectivityInterplay of processing and routing in aggregate query optimization for sensor networks Niki Trigoni Alexandre Guitton Antonios Skordylis Computing Laboratory, University of Oxford, Oxford OX1 3QD, UK Abstract This paper presents a novel approach to processing continuous aggregate queries in sensor networks, which lifts the assumption of treeInterplay of processing and routing in aggregate querySupporting Aggregate Queries Over AdHoc Wireless Sensor Networks Madden UC Berkeley With Robert Szewczyk, Michael Franklin, and David Culler WMCSA June 21, 2002 Motivation: Sensor Nets and InNetwork Query Processing Many Sensor Network Applications are Data Oriented Queries Natural and Efficient Data Processing MechanismSupporting Aggregate Queries Over AdHoc Wireless

  • Data Aggregation in Wireless Sensor Network: A Survey

    Wireless sensor networks (WSNs) consist of sensor nodes These networks have huge application in habitat monitoring, disaster management, security and military, etc Wireless sensor nodes are very small in size and have limited processing capability very low battery power This restriction of low battery power makes the sensor networkWe present a novel approach to processing continuous aggregate queries in sensor networks, which lifts the assumption of treebased routing Given a query workload and a specialpurpose gateway node where results are expected, the query optimizer exploits query correlations in order to generate an energyefcient distributed evaluation planPoster Abstract: Routing and Processing Multiplelocationbased query processing in wireless sensor networks However, since all previous works in this area rely on users’ exact locations and/or identities, none of these works consider query processing over aggregate location data Spatiotemporal histograms Research efforts for spatiotemporal histograms aim to provide selectivityAggregate Location Monitoring for Wireless Sensor

  • KNN Query Processing in Wireless Sensor and Robot

    In Wireless Sensor and Robot Networks (WSRNs), static sensors report event information to one of the robots In the k nearest neighbour query processing problem in WSRNs, the robot receives event report needs to find exact k nearest robots (KNN) to react to the event, among those connected to itInterplay of processing and routing in aggregate query optimization for sensor networks Niki Trigoni Alexandre Guitton Antonios Skordylis Computing Laboratory, University of Oxford, Oxford OX1 3QD, UK Abstract This paper presents a novel approach to processing continuous aggregate queries in sensor networks, which lifts the assumption of treeInterplay of processing and routing in aggregate queryContinuous Quantile Query Processing in Wireless Sensor Networks Johannes Niedermayer 1, Mario A Nascimento 2, Matthias Renz 1, Peer Kröger 1 and HansPeter Kriegel 1 1 Institute for Computer Science, LMU, Munich, Germany 2 Dept of Computing Science, University of Alberta, Canada {niedermayer, renz, kroeger, kriegel}@cipilmudeContinuous Quantile Query Processing in Wireless

  • Maximum Lifetime Continuous Query Processing in

    In wireless sensor networks, the notion of in–network processing was first introduced by Intanagonwiwat et al [18] to opportunistically eliminate duplicates in the context of directed diffusion Gehrke and Madden et al [11, 15, 24] are among the first to integrate query processing and sensor networks so tasking sensor networks can beMost existing query processing algorithms for wireless sensor networks (WSNs) can only deal with discrete values However, since the monitored environment always changes continuously with time, discrete values cannot describe the environment accurately and, hence, may not satisfy a variety of query requirements, such as the queries of the maximal, minimal,Curve Query Processing in Wireless Sensor Networks | IEEERemote Query Processing in Wireless Sensor Networks using Coordinated Mobile Objects Juzheng Li and Sol M Shatz Department of Computer Science University of Illinois at Chicago Chicago, Illinois 60607 {jli48, shatz}@uicedu Abstract The introduction of mobile devices into wireless sensor network systems has attracted significant attention inRemote Query Processing in Wireless Sensor Networks

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