Aggregate query processing in the presence of duplicates
Mar 10, 2015 In addition, when the sensing areas of sensor nodes are disjoint, the coordinator of each sensor becomes itself and we perform traditional aggregate query processing. Thus, the problem we are considering is a generalization of the traditional in-network aggregation problem.
Assembling Regions for Efficacious Aggregate Query
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
aggregate query processing sensor networks
Efficient Iceberg Query Processing in Sensor Networks. Poster Abstract: Routing and Processing Multiple Aggregate Queries in Sensor Networks Niki Trigoni Alexandre Guitton Antonios Skordylis Birkbeck College, University of London, London WC1E 7HX, United Kingdom {niki,alexandre,adonis}@dcs.bbk.ac.uk Abstract We present a novel approach to processing continuous aggregate queries in sensor
Interplay of processing and routing in aggregate query
Interplay 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 aggre-gate queries in sensor networks, which lifts the assumption of tree
Aggregate Query Processing Definition
Sensor network applications rely heavily on aggregate queries. Queries are also considered a natural way for users to interact with the sensor network [23]. Therefore, several studies have been carried toward (aggregate) query processing in sensor networks [20,21,23]. The common approach to query processing in sensor networks has two phases.
Robust and Efficient Aggregate Query Processing in
May 08, 2008 高达10%返现 Wireless 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, such as
(PDF) Interplay of Processing and Routing in Aggregate
The TinyDB [8,9] and Cougar [14,15] projects investigate tree-based routing and scheduling techniques for processing aggregate queries like avg, count, sum, min and max in sensor networks. The concept of semantic routing trees (SRTs) [9] is used to forward
(PDF) Interplay of Processing and Routing in Aggregate
processing aggregate queries like avg, count, su m, min and max in sensor networks. The concept of semantic routing tree s (SRTs) [9] is used to forward queries on ly to children that satisfy the
Aggregate query processing in the presence of duplicates
Mar 10, 2015 In addition, when the sensing areas of sensor nodes are disjoint, the coordinator of each sensor becomes itself and we perform traditional aggregate query processing. Thus, the problem we are considering is a generalization of the traditional in-network aggregation problem.
Assembling Regions for Efficacious Aggregate Query
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
aggregate query processing sensor networks
Efficient Iceberg Query Processing in Sensor Networks. Poster Abstract: Routing and Processing Multiple Aggregate Queries in Sensor Networks Niki Trigoni Alexandre Guitton Antonios Skordylis Birkbeck College, University of London, London WC1E 7HX, United Kingdom {niki,alexandre,adonis}@dcs.bbk.ac.uk Abstract We present a novel approach to processing continuous aggregate queries in sensor
Interplay of processing and routing in aggregate query
Interplay 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 aggre-gate queries in sensor networks, which lifts the assumption of tree
Aggregate Query Processing Definition
Sensor network applications rely heavily on aggregate queries. Queries are also considered a natural way for users to interact with the sensor network [23]. Therefore, several studies have been carried toward (aggregate) query processing in sensor networks [20,21,23]. The common approach to query processing in sensor networks has two phases.
Robust and Efficient Aggregate Query Processing in
May 08, 2008 高达10%返现 Wireless 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, such as
(PDF) Interplay of Processing and Routing in Aggregate
The TinyDB [8,9] and Cougar [14,15] projects investigate tree-based routing and scheduling techniques for processing aggregate queries like avg, count, sum, min and max in sensor networks. The concept of semantic routing trees (SRTs) [9] is used to forward
(PDF) Interplay of Processing and Routing in Aggregate
processing aggregate queries like avg, count, su m, min and max in sensor networks. The concept of semantic routing tree s (SRTs) [9] is used to forward queries on ly to children that satisfy the