Aggregate query processing in the presence of
A wireless sensor network (WSN) consists of spatially distributed autonomous devices with various sensors, and a powered base station which serves as an access point for users to pose ad hoc queries Among the previous techniques for spatiotemporal data, some studies consider aggregate query processing , Processing approximate aggregate queries in wireless Innetwork data aggregation has been recently proposed as an effective 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 theiraggregate query processing sensor networks Assembling Regions for Efficacious Aggregate Query Processing in Wireless Sensor Networks by Apostolos Fertis Diploma, Electrical and Computer Engineering (2003) A sensor network is a pervasive computing environment, which has to manage its resources Every query that is answered consumes both communication and energy resourcesAssembling Regions for Efficacious Aggregate Query
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 the sensor nodes that collect 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 queriesOptimizing innetwork aggregate queries in wireless Section snippets Sensor networks We consider a sensor network consisting of n stationary sensor nodes {s 1, s 2, , s n} deployed in a field of interest and a powered base station serving as an access point for users to pose ad hoc queries As a basic primitive to collect sensing data in WSNs, we use an ad hoc spanning tree, such as TinyDB [21], SNEE [10], and AnduIn [16] as the basic Aggregate query processing in the presence of
Aggregate Location Monitoring for Wireless Sensor
components, wireless sensor network and aggregate query processor A third major component that is not shown in the figure is a resourceefficient sensor scheduler that is responsible on tuning a tradeoff between energy and bandwidth consumption of the wireless sensor network and the accuracy of the answers provided by the aggregate query routing [4, 26] and innetwork query processing [14, 15, 16, 28] A survey of the applications and the challenges that sensor networks introduce is presented in [10] For monitoring queries that aggregate the observed values from a group of sensor nodes, [14] suggested the construction of a greedy aggregation tree that seeks to maximize the Processing Approximate Aggregate Queries in Wireless two main modules, innetwork location anonymization and aggregate query processing over anonymizedlocations Inthe rst module, trusted wireless sensor nodes collaborate with each other to anonymize users’ exact locations by a cloaked spatial region that satis es a prespeci ed privacy requirement On the other side, the aggregate query processingTinyCasper: A PrivacyPreserving Aggregate Location
Query Processing in Wireless Sensor Network
Query Processing in Wireless Sensor Network 3 FIGURE 1(a): Centeralised Data Approach for WSN The following protocols are followed in the Query processing: 21 TinyDB TinyDB is a simple protocol which provides Structured Query Language (SQL) Interface which allows user to query the network using declarative queries (retrieves Assembling Regions for Efficacious Aggregate Query Processing in Wireless Sensor Networks by Apostolos Fertis Diploma, Electrical and Computer Engineering (2003) A sensor network is a pervasive computing environment, which has to manage its resources Every query that is answered consumes both communication and energy resourcesAssembling Regions for Efficacious Aggregate Query 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 queriesOptimizing innetwork aggregate queries in wireless
aggregate query processing sensor networks
Processing approximate aggregate queries in wireless Innetwork data aggregation has been recently proposed as an effective 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 components, wireless sensor network and aggregate query processor A third major component that is not shown in the figure is a resourceefficient sensor scheduler that is responsible on tuning a tradeoff between energy and bandwidth consumption of the wireless sensor network and the accuracy of the answers provided by the aggregate query Aggregate Location Monitoring for Wireless Sensor In this paper, we develop a query layer for wireless sensor networks Our approach is motivated by the followingthree design goals First, we believe thatdeclarative queries are especially suitable for sensor network interaction: Clients issue queries without knowing how the results are generated, processed, and returned to the clientQuery Processing for Sensor Networks
TinyCasper: A PrivacyPreserving Aggregate Location
two main modules, innetwork location anonymization and aggregate query processing over anonymized locationsInthe first module, trusted wireless sensor nodes collaborate with each other to anonymize users’ exact locations by a cloaked spatial region that satisfies a prespecified privacy requirement On the other side, the aggregate query Keywords: sensor network, energy optimization, aggregate query, network lifetime, group aggregation, sensor database 1 INTRODUCTION In recent years, inevitable research trends have been moving towards wireless sensor networks, which consist of a large number of active, lowbatterysupplied sensors for the powerful data collection and EnergyEfficient Aggregate Query Evaluation in Wireless Wireless sensor network is characterized by their capability of generating, processing, and communicating data They are being explored in many scientific domains, eg, ecology and oceanography Most of these applications involve primarily data collection with innetwork processing in which continuous aggregate queries are posed and processedSensor Scheduling for Aggregate Monitoring in Wireless
A Sensor Network Data Aggregation Technique
tackled the data management topic in wireless sensor networks including query processing and data handling but none generic useful results and findings were originated for implementation There has been a lot of work and approaches on query processing in distributed database systems [8 and 9], A Sensor Network Data Aggregation Technique two main modules, innetwork location anonymization and aggregate query processing over anonymizedlocations Inthe rst module, trusted wireless sensor nodes collaborate with each other to anonymize users’ exact locations by a cloaked spatial region that satis es a prespeci ed privacy requirement On the other side, the aggregate query processingTinyCasper: A PrivacyPreserving Aggregate Location CiteSeerX 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 propagate the result to their own parentsProcessing Approximate Aggregate Queries in
CiteSeerX — Innetwork Query for Wireless Sensor
CiteSeerX Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Recently, innetwork aggregate query processing techniques have problems such as high energy consumption in sensor nodes, low accuracy of query processing results, and long query processing time In order to solve these problems and to enhance the efficiency of aggregate query processing in wireless sensor networks Supporting Aggregate Queries Over AdHoc Wireless Sensor Networks Samuel Madden UC Berkeley WMCSA June 21, 2002 Motivation: Sensor Nets and InNetwork Query Processing Many Sensor Network Applications are Data Oriented Queries Natural and Efficient Data Processing Mechanism Easy (unlike embedded C code) Enable optimizations through Supporting Aggregate Queries Over AdHoc Wireless Wireless sensor network is characterized by their capability of generating, processing, and communicating data They are being explored in many scientific domains, eg, ecology and oceanography Most of these applications involve primarily data collection with innetwork processing in which continuous aggregate queries are posed and processedSensor Scheduling for Aggregate Monitoring in Wireless
InNetwork Aggregation in Wireless Sensor Networks 1
A query requesting aggregate data is injected into the sensor network at a host node, also known as a sink The query is forwarded by the host to the other nodes in the network The simplest and least optimal query plan would require each node to report its own readings back to the host node for processing After receiving all data packets from the Abstract: An important class of queries over sensor networks are networkwide aggregation queries In this work we study a class of aggregation queries which we refer to as aggregate threshold queries The goal of an aggregate threshold query is to continuously monitor the network and give a notification every time an aggregated value crosses a predetermined threshold valueAggregate Threshold Queries in Sensor Networks duit to disseminate data required for processing monitoring queries in a wireless sensor network While prior techniques base their operation on the assumption that the sensor nodes that collect data relevant to a specified query need to include their measurements in the query result at every query epoch, in many event monitoring applicationsProcessing EventMonitoring Queries in Sensor Networks
Supporting Spatial Aggregation in Sensor Network
network processing of the aggregation queries on the data generated in the sensor network We use the adhoc query routing algorithm of TAG to disseminate our query into the network Our spatial aggregate operators are compatible with the aggregate processing of TAG and easily portable to TinyDB Zhao et al in [9] introduce an architecture for Corona is a distributed innetwork query processing system for the SunSPOT Wireless Sensor Network platform , developed at the School of IT at the University of Sydney Corona provides a declarative query SQLLike language to formulate queriesA survey on wireless sensor network databases this paradigm for sensor query dissemination and processing We show that, by using directed diffusion, one can realize robust multipath delivery, empirically adapt to a small subset of network paths, and achieve significant energy savings when intermediate nodes aggregate responses to Directed Diffusion for Wireless Sensor Networking