Home>Products

aggregate query processing in sensor networks

  • Robust and Efficient Aggregate Query Processing in

    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.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.

  • Aggregate Threshold Queries in Sensor Networks IEEE

    Mar 30, 2007· 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 Processing Multiple Aggregation Queries in Geo-Sensor Networks,This observation points out the fact that the in-network query processing is more energy efficient. Fig. 7(c) shows the response time. This time all proposed approaches performs the same and BS remains the best. 5 Conclusion and Future Work Aggregation queries are very important for sensor-network

  • (PDF) Routing and processing multiple aggregate queries in

    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.Processing Approximate Aggregate Queries in Wireless,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

  • Query Processing for Sensor Networks

    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 An adaptive in-network aggregation operator for query,Wireless sensor networks by sensors and consequently the data traffic in the network. Query-processing operators for WSNs should be able to In general, sensors are battery-powered devices applied handle conditions such as failures, resource limitations, the in monitoring applications used to detect specific events existence of large amounts of

  • Processing approximate aggregate queries in wireless

    Dec 01, 2006· In-network 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 children and propagate the result to their own parents.Effective processing of continuous group-by aggregate,Dec 01, 2010· Madden et al. (2002) propose TAG (Tiny AGgregation) for in-network aggregate processing. They classify aggregates in sensor networks and define the structure of aggregates with a merging function f, an initializer i, and an evaluator e to compute aggregate queries in sensor networks. Approximate query processing in sensor networks is very

  • Aggregate Threshold Queries in Sensor Networks IEEE

    Mar 30, 2007· 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 Aggregate query processing in the presence of duplicates,Wireless 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

  • 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 treePoster Abstract: Routing and Processing Multiple ,We present a novel approach to processing continuous aggregate queries in sensor networks, which lifts the as-sumption of tree-based routing. Given a query workload and a special-purpose gateway node where results are ex-pected, the query optimizer exploits query correlations in order to generate an energy-efcient distributed evaluation plan.

  • Query Processing for Sensor Networks

    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.Query Processing in Sensor Networks,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.

  • Robust Management of Outliers in Sensor Network

    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 ofOptimized Query Processing for Wireless Sensor Networks,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

  • In-Network Execution of Monitoring Queries in Sensor

    sensor networks. Users acquire interesting data by issuing SQL-like queries while the underlying data retrieval and col-lection processes are transparent to them. Many of the early works on query processing in sensor networks have focused on aggregate queries such as COUNT, SUM and MAX, and have developed in-network aggregation techniques that sig-IJA: An Efficient Algorithm for Query Processing in Sensor,Thus query processing over the nodes should be constrained because of their limitations. Due to the problems, the join operations in sensor networks are typically processed in a distributed manner over a set of nodes and have been studied. By way of example while simple queries, such as select and aggregate queries, in sensor networks

  • Processing Event-Monitoring Queries in Sensor Networks

    in-network processing that can be applied to non-aggregate queries as well [3]. In this paper we concentrate on building andmaintaining efficient datacollection trees that willprovide the conduit to disseminate all data required for processing manyconcurrent queries in a sensor network. While prior work [2], [6], [7] has also tackled similarEnergy-Efficient Aggregate Query Evaluation in Sensor Networks,Dec 13, 2005· This paper considers the aggregate query evaluation in a sensor network database with the objective to prolong the network lifetime. We first propose an algorithm by introducing a node capability concept that balances the residual energy and the energy consumption at each node so that the network lifetime is prolonged.

  • IJA: an efficient algorithm for query processing in sensor

    By way of example while simple queries, such as select and aggregate queries, in sensor networks have been addressed in the literature, the processing of join queries in sensor networks remains to be investigated. Therefore, in this paper, we propose and describe an Incremental Join Algorithm (IJA) in Sensor Networks to reduce the overheadEnergy-Efficient Data Organization and Query Processing in,Recent sensor networks research has produced a class of data stor-age and query processing techniques called Data-Centric Storage that leverages locality-preserving distributed indexes to efficiently answer multi-dimensional range and range-aggregate queries. These distributed indexes offer a rich design space of a) logical decompo-

  • Query Processing in Sensor Networks

    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.Aggregate Location Monitoring for Wireless Sensor ,three proposed techniques, and the aggregate query pro-cessor. Section 5 depicts the experiment results. Finally, Section 6 concludes this paper. 2. Related Works In this section, we highlight the related works in two areas, query processing in wireless sensor networks and spatio-temporal histograms. Query processing in sensor networks

  • The Design and Evaluation of a Query Processing

    The Design and Evaluation of a Query Processing Architecture for Sensor Networks by Ross Madden Doctor of Philosophy in Computer Science University of California, Berkeley Professor Michael J. Franklin, Chair With the advent of small, battery-powered, wireless computing and sensing technology, it isSIA: Secure Information Aggregation in Sensor Networks,a setting, certain nodes in the sensor network, called aggregators, collect the raw information from the sensors, process it locally, and reply to the aggregate queries of a remote user. However, informa-tion aggregation in sensor networks is made even more challenging by the fact that the sensor nodes and aggregators deployed in hos-

  • In-Network Execution of Monitoring Queries in Sensor

    sensor networks. Users acquire interesting data by issuing SQL-like queries while the underlying data retrieval and col-lection processes are transparent to them. Many of the early works on query processing in sensor networks have focused on aggregate queries such as COUNT, SUM and MAX, and have developed in-network aggregation techniques that sig-Energy-Efficient Data Organization and Query Processing in,Recent sensor networks research has produced a class of data stor-age and query processing techniques called Data-Centric Storage that leverages locality-preserving distributed indexes to efficiently answer multi-dimensional range and range-aggregate queries. These distributed indexes offer a rich design space of a) logical decompo-

  • Efficient Iceberg Query Processing in Sensor Networks

    In a sensor network environment, sensor nodes have very limited battery resources. Therefore, minimizing the energy consumption is the most important issue in sensor networks. One main strategy for reducing the energy consumption is to do some query processing tasks in the network, as suggested by Sharaf et al. [9] andYao and Gehrke [10]. TheThe Design of an Acquisitional Query Processor For Sensor,In this paper, we are concerned with query processing in sensor net-works. Researchers have noted the benefits of a query processor-like in-terface to sensor networks and the need for sensitivity to limited power and computational resources [27, 33, 41, 48, 34]. Prior systems, how-ever, tend to view query processing in sensor networks simply as a

  • Multi-Attribute Join Query Processing in Sensor Networks

    in-network spatial query processing in wireless sensor networks. The proposed algorithm can process spatial queries without the necessity of periodic beacon trans-missions for neighbor table updates or for synchroniza-tion. In [11], the authors analyzed the properties of reverse skyline query and proposed a skyband-based approach toaggregate query processing sensor networks,aggregate query processing in sensor networks. Aggregate Query Processing Sensor Networks. Robust Aggregation In Sensor Networks. Robust aggregation in sensor networks george kollios, john byers, jeffrey considine, marios hadjieleftheriou, and feifei li.Faulty sensor networks.Guaranteeing exact solutions in the face of losses is generally impractical, so we focus.In-network aggregate query

  • Medians and Beyond: New Aggregation Techniques for

    nell University [24] (Cougar) have developed energy efficient query processing architectures over sensor networks. Their approach is based on a couple of observations : first, for a user, the individual sensor values do not hold much value. For example, in a sensor network spanning thousands of nodes, the user would like to knowTinyDB: An Acquisitional Query Processing System for,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-

  • Exact In-Network Aggregation with Integrity and

    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 aggregationThe Sybil Attack in Sensor Networks: Analysis & Defenses,Sensor networks are a promising new technology to enable economically viable solutions to a variety of applications, for example pollution sensing, structural integrity monitoring, and traffic monitoring. A large subset of sensor network ap-plications requires security, especially if the sensor network protects or monitors critical infrastructures.

  • Contact Us

    Company Address

    Pudong New Area, Shanghai, China.

    E-mail Address

    [email protected]

    Sales Hotline

    0086-371-86162511

    You can reach us by:

    If you are interested in our company or products, welcome to visit our company or local offices; you can also get contact with us through online consulting, demand table submission, e-mails and telephones. Our staff shall wholeheartedly provide product information, application knowledge and good service for you.
    Copyright © 2019 SKD Industry & Technology Group Co., Ltd.