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Processing Approximate Aggregate Queries in Wireless. 2007-7-3 Processing Approximate Aggregate Queries in Wireless Sensor Networks Antonios Deligiannakisa Yannis Kotidisb Nick Roussopoulosa aUniversity of Maryland bAT&T Labs-Research Abstract In-network data aggregation has been recently proposed as an effective means to reduce the number of messages exchanged in wireless sensor networks.
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network processing of the aggregation queries on the data generated in the sensor network. We use the ad-hoc 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
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Abstract: An important class of queries over sensor networks are network-wide 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 value.
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Abstract: An important class of queries over sensor networks are network-wide 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 value.
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sensor networks is similar to saving and query processing in conventional database. Although infrastructure property and data properties of sensor networks is different with a central database system complementally [1]. We use declarative query in interaction networking. Declarative query playas an interface role. User able
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Acquisitional Query Processing In Sensor Networks • 125 Section 6 discusses our adaptive, power-sensitive model for query execution and result collection. 2. SENSOR NETWORK OVERVIEW We begin with an overview of some recent sensor network deployments, and then discuss properties of sensor nodes and sensor networks in general, provid-
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region specified in the query is changed. Our query processing scheme is also related to aggregate queries in sensor networks. Even if many works have been proposed to process aggregate queries, only a few works deal with grouped aggregate queries. TAG [10] propose a grouped in-network aggregation method. In this method,
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Aggregate queries (e.g., SUM, MAX, etc.) constitute a wide and important query class in sensor networks. In the naive case, the querier collects all the raw data from the sensors and performs the aggregation locally. Although this may be a vi-able solution in small networks, it leads to an excessive energy expenditure in large-scale networks.
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Handling of multiple aggregate queries in Sensor Networks is a challenging task. Sensor Networks are vulnerable to security attacks due to the broadcast nature of communication. This section gives a brief insight into the two background works that lay a foundation for the development of SDACQ: 1) SafeQ and 2) CDAMA.
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gregate query. Our contributions are as follows: • We present a new resilient execution paradigm for comput-ing aggregate queries in sensor networks. Our techniques dy-namically separate outliers from the outcome of the aggrega-tion. These unexpected readings are preserved and reported to the user that issued the query along with the estimate of
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running queries on the sensor readings, and periodically receives data from the network (typically via a single node, called the sink). Aggregate queries (e.g., SUM, MAX, etc.) constitute a wide and important query class in sensor networks. In the naive case, the querier collects all the raw data from the sensors and performs the aggregation
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Queries Data Distributed 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 query.
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This paperaddressesthe problemof processingmultiple aggregate queries in large sensor networks, and makes the following contributions: Multi-Query Optimization In Sensor Networks: Concepts and Complexity. We formally introduce the concept of result sharing for efcient processing of multiple aggregate queries.
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Aggregate queries are one of the most important queries in sensor networks. Especially, group-by aggregate queries can be used in various sensor netwo…
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This study proposes a method of in-network aggregate query processing to reduce the number of messages incurred in a wireless sensor network. When aggregate queries are issued to the resource-const...
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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 networks, which lifts the as- sumption of tree-based routing.
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Aggregate queries. Approximation. 1. Introduction. Densely distributed sensor networks are used in a variety of monitoring applications ranging from measurements of meteorological data (like temperature, pressure, humidity), noise levels, chemicals etc., to complex military vehicle surveillance and tracking applications.
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to ensure that the query processing layer is tightly in-tegrated with the networking layer. Second, the notion of the cost of a query plan has changed, as the critical resource in a sensor network is power, and query opti-mization and query processing have to be adapted to take this optimization criterion into account.
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Aggregate queries (e.g., SUM, MAX, etc.) constitute a wide and important query class in sensor networks. In the naive case, the querier collects all the raw data from the sensors and performs the aggregation locally. Although this may be a vi-able solution in small networks, it leads to an excessive energy expenditure in large-scale networks.
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This paper presents a query-driven approach to routing and processing continuous aggregate queries in sensor networks. Given a query workload and a special-purpose gateway node where results are expected, the query optimizer exploits query correlations in order to generate an energyefficient distributed evaluation plan.
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Assembling regions for efficacious aggregate query processing in wireless sensor networks. data retrieval architecture for continuous aggregate queries in wireless sensor networks.
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To process aggregation queries issued through different sensors as access points in sensor networks, existing algorithms handle queries independently and perform in-network aggregation only at the query time. As a result of ad-hoc and independent
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This paper presents a query-driven approach to routing and processing continuous aggregate queries in sensor networks. Given a query workload and a special-purpose gateway node where results are expected, the query optimizer exploits query correlations in order to generate an energyefficient distributed evaluation plan.
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Processing Approximate Aggregate Queries in Wireless. 2007-7-3 Processing Approximate Aggregate Queries in Wireless Sensor Networks Antonios Deligiannakisa Yannis Kotidisb Nick Roussopoulosa aUniversity of Maryland bAT&T Labs-Research Abstract In-network data aggregation has been recently proposed as an effective means to reduce the number of messages exchanged in wireless sensor networks.
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routing [4, 26] and in-network 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
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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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Request PDF | Robust and Efficient Aggregate Query Processing in Wireless Sensor Networks | Wireless sensor networks have been widely used in many applications, such as soil temperature monitoring
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This basic motivation underlies sensor network systems like TAG [9], Cougar [15], and others (see, e.g. [16]). Intuitively, the idea is to view sensors as sources of data, and the goal of the system is to support aggregate queries formed in an SQL-like language.
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