Interplay of processing and routing in aggregate query

2007-11-1  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

Robust and Efficient Aggregate Query Processing in

2008-5-8  Query processing on continuous aggregates. In this work, we assume sensor nodes have been organized into a spanning tree and each sensor will generate a sensing value in each round (a short time period). After the creation of a network topology, users can pose a continuous aggregate query, such as AVG, to the network.

Assembling Regions for Efficacious Aggregate Query

2021-7-5  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

TinyCasper: A Privacy-Preserving Aggregate Location

2016-5-21  niques designed for wireless sensor networks. On the other side, the aggregate query processing module is embedded in-side the server to support aggregate query processing over anonymized locations. TinyCasper system administrators can change the privacy requirement, i.e., k-anonymity re-quirement, at anytime. Finally, system users can issue snap-

Query Processing for Sensor Networks

2007-10-25  query layer for sensor networks. The query layer accepts queries in a declarative language that are then optimized to generate efficient query execution plans with in-network pro-cessing which can significantly reduce resource requirements. We examine the main architec-tural components of such a query layer, con-

TinyDB: An Acquisitional Query Processing System for

2020-8-10  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-

Query Processing in Sensor Networks

2004-8-18  Query Processing in Sensor Networks R ecent advances in computing tech-nology have led to the production of a new class of computing devices: the wireless, battery-powered, smart sensor. Traditional sensors deployed throughout buildings, labs, and equipment are

Optimizing in-network aggregate queries in wireless

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

Accuracy Vs Lifetime: Linear Sketches for Appoximate

2008-3-20  1.1 Query Processing in Sensor Networks From databases perspective, in–network aggregation is a mode for evaluating aggregate queries over the sensor network. 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

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.

Query Processing for Sensor Networks

2007-10-25  query layer for sensor networks. The query layer accepts queries in a declarative language that are then optimized to generate efficient query execution plans with in-network pro-cessing which can significantly reduce resource requirements. We examine the main architec-tural components of such a query layer, con-

TinyDB: An Acquisitional Query Processing System for

2020-8-10  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-

Accuracy Vs Lifetime: Linear Sketches for Appoximate

2008-3-20  1.1 Query Processing in Sensor Networks From databases perspective, in–network aggregation is a mode for evaluating aggregate queries over the sensor network. 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

Query Processing in Sensor Networks

2004-8-18  Query Processing in Sensor Networks R ecent advances in computing tech-nology have led to the production of a new class of computing devices: the wireless, battery-powered, smart sensor. Traditional sensors deployed throughout buildings, labs, and equipment are

The Design and Evaluation of a Query Processing

2004-9-3  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 is

Optimizing in-network aggregate queries in wireless

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

REQUEST: Region-Based Query Processing in Sensor

In this paper, we propose REQUEST, region-based query processing in sensor networks. A region in our approach is defined as a maximal set of nodes located within a circle having a diameter specified in the query. To efficiently construct a large number of regions covering the entire monitoring field, we build the SEC (Smallest Enclosing Cir-cle

A Distributed Spatial Index for Time-Efficient Aggregation

2005-5-22  Abstract. Many applications using sensing data require the fast retrieval of aggregated information in sensor networks. In this paper, distributed spatial index structure in sensor networks for time-efficient aggregation query processing is proposed.

QoS-aware query processing for wireless sensor networks

QoS-aware query processing for wireless sensor networks. Authors. Shaila (3799501) Pervin; Publication date 2017. Publisher. Cite. Abstract. A Wireless Sensor Network (WSN) is a collection of sensor nodes, spatially deployed in an ad hoc fashion, which performs distributed sensing tasks in a collaborative manner, without relying on any

Energy-Efficient Data Organization and Query Processing

Recent sensor networks research has produced a class of data storage and query processing techniques called data-centric storage that leverages locality-preserving distributed indexes to efficiently answer multi-dimensional range and range-aggregate queries.

Query Processing for Sensor Networks

2007-10-25  query layer for sensor networks. The query layer accepts queries in a declarative language that are then optimized to generate efficient query execution plans with in-network pro-cessing which can significantly reduce resource requirements. We examine the main architec-tural components of such a query layer, con-

(PDF) Routing and processing multiple aggregate queries

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.

Query Processing for Sensor Networks

2003-3-8  Query Processing for Sensor Networks Yong Yao and Johannes Gehrke (Presentation: Anne Denton March 8, 2003)

Efficient Iceberg Query Processing in Sensor Networks

2015-11-26  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]. The

Query Processing in Sensor Networks

2004-8-18  Query Processing in Sensor Networks R ecent advances in computing tech-nology have led to the production of a new class of computing devices: the wireless, battery-powered, smart sensor. Traditional sensors deployed throughout buildings, labs, and equipment are

QoS-aware query processing for wireless sensor networks

A Wireless Sensor Network (WSN) is a collection of sensor nodes, spatially deployed in an ad hoc fashion, which performs distributed sensing tasks in a collaborative manner, without relying on any underlying infrastructure support. WSNs have usually been treated as passive networks, where sensors measure some physical phenomena periodically, or detect some events, and then send the data thus

Power Efficient Data Query Processing Protocol for

2007-9-25  Wireless sensor networks are being widely deployed for measurement, detection, and monitoring applications. Nodes in a sensor network typically have a limited power supply, thus energy-efficient processing of the queries over the network is a critical issue. This paper proposed a power efficient data query processing protocol (PEDQPP) for wireless sensor networks, the main idea of

Accuracy Vs. Lifetime: Linear Sketches for Approximate

2010-3-30  aggregate queriesover sensor networksin anenergy{e cient manner. 1.1 Query Processing in Sensor Networks From the database perspective, in{network aggregation is a mode for evaluating aggregate queries over the sensor net-work. The common approach to (aggregate) query process-ing in sensor networks has two phases: the dissemination

Reading List on Wireless Sensor Networks

2005-10-20  Reading List on Wireless Sensor Networks Sensor Databases TinyDB. 1. Joseph M. Hellerstein, Wei Hong, Madden, and Kyle Stanek.Beyond Average: Towards Sophisticated Sensing with Queries. In Proceedings of the 2nd International Conference on Information Processing in Sensor Networks (IPSN), Palo Alto, California, USA, April 22-23, 2003, pp 63-79.

Sensor Networks, Wireless Sensor Network Management

Wireless Sensor Network Management. Connection of sensors, hubs and gateways using standard or custom communication protocol drivers. Alerting, charting, reporting, trend prediction and other data analysis tools. Transport network independence. Customizable network geography and topology visualization. Data aggregation and fusion.