3 Simple Aggregate Query Processing A simple aggregate query is an aggregate query without Group By and Having clauses a very popular class of queries in sensor networks 21 In this section we outline how to process such simple aggregate queries Query processing strategies for more general queries are discussed in Section 5 31 InNetwork Aggregation
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Hematite ore is an important mineral resource. With 70% iron content and the large iron output capacity, hematite is the most important iron ore. To improve the comprehensive usage efficiency of hematite, hematite beneficiation process is necessary. We ne
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In this plant, gold ore is mainly natural gold among the ore to be processed, but it is mostly distributed in the crack of poisonous sand, pyrrhotite and quartz crystal gap, which significantly improves the processing difficulty of the gold ore. The custo
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In accordance with the field visit of working site and technical guidance, Fote Machinery introduced 3 stages crushing process for our customer.
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Related Equipments: vibrating feeder, jaw crusher, cone crusher, sand maker and vibrating screen.
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Wireless sensor networks have been widely used in many applications such as soil temperature monitoring for plant growth and abnormal event detection of industrial parameters Among these
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of aggregate quer y processing in w ireless sensor networks this paper proposes Buck etbased P arallel Aggregation BP A BP A divides a query region into several cells according to the dist
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Abstract Innetwork data aggregation has been recently proposed as an eectivemeans to reduce the number of messages exchanged in wireless sensor networks Nodes of the network form an aggregation
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In WSNs with such sensors an object may be detected by several sensor nodes and processing of aggregate queries such as COUNT SUM and AVERAGE becomes problematic since an
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In distributed wireless sensor network DWSN query processing may require responses from various sensor nodes which is different from query processing in the centralized system
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Wireless sensor networks have been widely used in many applications such as soil temperature monitoring for plant growth and abnormal event detection of industrial parameters Among these applications aggregate queries such as SUM COUNT AVERAGE MIN and MAX are often used to collect statistical data
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Processing approximate aggregate queries in wireless sensor networks This is a recursive procedure which ultimately results in the evaluation of the aggregate query at the Root node After waiting for messages from its children nodes the current node computes the new value of the partial aggregate based on the most current partial
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Recently as efficient processing of aggregate queries for fetching desired data from sensors has been recognized as a crucial part innetwork aggregate query processing techniques are studied
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Aggregate query processing in sensor networks is an orthogonal topic to our discussion Quite a few papers from the database community have been addressing techniques and solutions for this topic
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CiteSeerX Document Details Isaac Councill Lee Giles Pradeep Teregowda Innetwork data aggregation has been recently proposed as an eective 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
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Query Processing in Sensor Networks In this paper a method for answering Adhoc Continuous Aggregate Queries over data streams is employed that is uses a Dynamic Prefix Aggregate Tree As
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and processing in evaluating aggregate queries in sensor networks STG exploits the fact that the intersectingqueryareas naturally divide the network into smaller segments and partially aggregates all values within the same segment before forwarding the partial aggregate to the gateway In addition
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Interplay of Processing and Routing in Aggregate Query Optimization for Sensor Networks
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Assembling regions for efficacious aggregate query processing in wireless sensor networks efficient data retrieval architecture for continuous aggregate queries in wireless sensor networks
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Assembling 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 of
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Continuous groupby aggregate queries can be used in many sensor networks applications To process groupby aggregate queries in sensor networks we propose the GFramework In the GFramework using twodimensional Haar wavelets we reduce the communication cost in the intragroup aggregation as well as in the intergroup merging
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this end we propose a privacypreserving location monitoring system for wireless sensor networks In our system we design two innetwork location anonymization algorithms namely resource and qualityaware algorithms that aim to enable the system to provide high quality location monitoring services for system users while preserving
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A framework for spatiotemporal query processing over wireless sensor networks In Proceeedings of the 1st international workshop on data management for sensor networks in conjunction with VLDB 2004 Toronto ON Canada 30 August 2004 pp 104 – 110 New York ACM Google Scholar
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Many future largescale unattended sensor networks USNs are expected to follow a twotier architecture with resourcepoor sensor nodes at the lower tier and fewer resourcerich master nodes at the upper tier Master nodes collect data from sensor nodes and then answer the queries from the network owner on their behalf
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