(PDF) Assembling regions for efficacious aggregate query

Assembling regions for efficacious aggregate query processing in wireless sensor networks . Article (PDF Available) · November 2006 with 26 Reads How we measure ''reads'' A

Query Processing for Sensor Networks Cornell University

Query Processing for Sensor Networks Yong Yao Johannes Gehrke Department of Computer Science Cornell University Ithaca, NY 14850 {yao,johannes}@cs rnell.edu Abstract Hardware for sensor nodes that combine physical sensors, actuators, embedded processors, and communiion components has advanced significantly over the last decade, and made the largescale deployment of such sensors a

Curve Query Processing in Wireless Sensor Networks IEEE

Abstract: Most existing query processing algorithms for wireless sensor networks (WSNs) can only deal with discrete values. However, since the monitored environment always changes continuously with time, discrete values cannot describe the environment accurately and, hence, may not satisfy a variety of query requirements, such as the queries of the maximal, minimal,

Secure pattern based aggregation using query processing

Abstract: Data aggregation is the technique used togather the sensor data to reduce the duplie data transmission. It is an effectual approach for Wireless Sensor Networks (WSNs) to save energy and prolong network life time. Existing Reliable Spatial Window Aggregation (RESA) query processing algorithm proposed to reduce packet loss rate during data communiion and balance the load of

Routing and Processing Multiple Aggregate Queries in

CiteSeerX Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Treebased routing is an energyefficient technique for evaluating aggregate queries in sensor networks, since it enables partial aggregation of results in their way to the root. Tree construction is currently performed using simple flooding algorithms, datacentric reinforcement strategies or energyaware route

(PDF) Processing approximate aggregate queries in wireless

Processing approximate aggregate queries in wireless sensor networks

Query Privacy Preserving for Data Aggregation in Wireless

Wireless Sensor Networks (WSNs) are increasingly involved in many appliions. However, communiion overhead and energy efficiency of sensor nodes are the major concerns in WSNs. In addition, the broadcast communiion mode of WSNs makes the network vulnerable to privacy disclosure when the sensor nodes are subject to malicious behaviours.

CiteSeerX — Routing and Processing Multiple Aggregate

This paper presents a querydriven approach to routing and processing continuous aggregate queries in sensor networks. Given a query workload and a specialpurpose gateway node where results are expected, the query optimizer exploits query correlations in order to generate an energyefficient distributed evaluation plan. The proposed

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 indie the sequence of steps involved in processing a query.

Data Aggregation and Query Processing in WSN

Data Aggregation and Query Processing in WSN Ayoni Mukherjee, Sanjit Setua Abstract A wireless sensor network (WSN) has a wide range of important appliions such as remote environment monitoring, target tracking etc. This has been enabled by the availability of sensors that are smaller, cheaper and intelligent. These sensor nodes are

Processing approximate aggregate queries in wireless

Processing approximate aggregate queries in wireless sensor networks Article in Information Systems 31(8):770792 · December 2006 with 56 Reads How we measure ''reads''

Optimized Query Processing for Wireless Sensor Networks

Optimized Query Processing for Wireless Sensor Networks d a 1. I NTR ODUCI Recently sensor networks are used in various domains of computer appliions. Infinite property and scalability of them give chance to getting around information in the highest resolution that impossible in previous technologies. They are used from military search to

PrivacyPreserving and Dynamic Spatial Range Aggregation

24.04.2019 · The existing privacypreserving aggregation query processing methods in sensor networks rely on preestablished network topology and require all nodes in the network to participate in query processing. Maintaining the topology results in a large amount of energy overhead, and in many cases, the user is interested only in the aggregated query

Secure pattern based aggregation using query processing

Abstract: Data aggregation is the technique used togather the sensor data to reduce the duplie data transmission. It is an effectual approach for Wireless Sensor Networks (WSNs) to save energy and prolong network life time. Existing Reliable Spatial Window Aggregation (RESA) query processing algorithm proposed to reduce packet loss rate during data

Routing and Processing Multiple Aggregate Queries in

This paper presents a querydriven approach to routing and processing continuous aggregate queries in sensor networks. Given a query workload and a specialpurpose gateway node where results are expected, the query optimizer exploits query correlations in order to generate an energyefficient distributed evaluation plan. The proposed

Processing approximate aggregate queries in wireless

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International Journal of Distributed Energyefficient and

spatial range aggregation query processing in wireless sensor networks Liang Liu, Zhenhai Hu and Lisong Wang Abstract The existing privacypreserving aggregation query processing methods in sensor networks rely on preestablished network topology and require all nodes in the network to participate in query processing. Maintaining the topology

MultiRoot, MultiQuery Processing in Sensor Networks

Sensor networks can be viewed as large distributed databases and SQLlike highlevel declarative languages can be used for data and information retrieval. Energy constraints make optimizing query

(PDF) Spatial query processing in wireless sensor networks

Spatial query processing in wireless sensor networks A survey

Optimized Query Processing for Wireless Sensor Networks

Optimized Query Processing for Wireless Sensor Networks d a 1. I NTR ODUCI Recently sensor networks are used in various domains of computer appliions. Infinite property and scalability of them give chance to getting around information in the highest resolution that impossible in previous technologies. They are used from military search to

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 in the presence of duplies

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 temperature, light and humidity around its loion.

Processing Multiple Aggregation Queries in GeoSensor

To process aggregation queries issued through different sensors as access points in sensor networks, existing algorithms handle queries independently and perform innetwork aggregation only at the query time. As a result of adhoc and independent execution of queries, no partial result is sharable and reusable among the queries. Consequently, scarce sensor network resources can be

Robust management of outliers in sensor network aggregate

Robust management of outliers in sensor network aggregate queries. Pages 17–24. Previous Chapter Next Chapter. ABSTRACT. Sensor networks are increasingly applied for monitoring diverse environments and appliions. Due to their unsupervised nature of operation and inexpensive hardware used, sensor nodes may furnish readings of rather poor quality. We

LNCS 3882 Processing Multiple Aggregation Queries in Geo

Processing Multiple Aggregation Queries in GeoSensor Networks Ken C.K. Lee 1, WangChien Lee, Baihua Zheng2, and Julian Winter 1 Pennsylvania State University, USA {cklee, wlee, jwinter}@cse.psu.edu2 Singapore Management University, Singapore [email protected] Abstract. To process aggregation queries issued through different sen

Thresholded Range Aggregation in Sensor Networks

range, we obtain a sensor network. Query evaluation techniques for a sensor network aim at minimizing the energy consumption. DBMS prototypes for sensor networks (e.g., TinyDB [9], Cougar [14]) provide the user a convenient query interface for processing the measured values from sensors in the network.

International Journal of Distributed Energyefficient and

spatial range aggregation query processing in wireless sensor networks Liang Liu, Zhenhai Hu and Lisong Wang Abstract The existing privacypreserving aggregation query processing methods in sensor networks rely on preestablished network topology and require all nodes in the network to participate in query processing. Maintaining the topology

Robust and Efficient Aggregate Query Processing in

Wireless sensor networks have been widely used in many appliions, such as soil temperature monitoring for plant growth and abnormal event detection of industrial parameters. Among these

Effective processing of continuous groupby aggregate

To effectively 1 process continuous groupby aggregate queries in sensor networks, we consider the following two factors. • Approximate processing: A sensor gets sensor readings from the device. However, no matter how much the device is advanced, there are gaps between real values and sensor readings. Therefore, sensor readings have

Query Processing in Sensor Networks

Query Processing in Sensor Networks R ecent advances in computing technology have led to the production of a new class of computing devices: the wireless, batterypowered, smart sensor. Traditional sensors deployed throughout buildings, labs, and equipment are passive devices that simply modulate a voltage on the basis of some environmental parameter. These new sensors are active, full

Secure pattern based aggregation using query processing

Abstract: Data aggregation is the technique used togather the sensor data to reduce the duplie data transmission. It is an effectual approach for Wireless Sensor Networks (WSNs) to save energy and prolong network life time. Existing Reliable Spatial Window Aggregation (RESA) query processing algorithm proposed to reduce packet loss rate during data communiion and balance the load of

IJA: An Efficient Algorithm for Query Processing in Sensor

IJA: An Efficient Algorithm for Query Processing in Sensor Networks Hyun Chang Lee 1, 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

Processing EventMonitoring Queries in Sensor Networks

monitoring queries in sensor networks. We borrow the syntax of TinyOS [13] to denote the epoch duration (e) and the lifetime of the query (t). The predie inclusionConditions has been added in order to specify which sensor nodes will participate in the query evaluation per epoch. At each query

Robust and Efficient Aggregate Query Processing in

Wireless sensor networks have been widely used in many appliions, such as soil temperature monitoring for plant growth and abnormal event detection of industrial parameters. Among these appliions, aggregate queries, such as SUM, COUNT, AVERAGE, MIN and MAX are often used to collect statistical data. Due to the low quality sensing devices or random environmental disturbances, sensor

Processing Approximate Aggregate Queries in Wireless

CiteSeerX Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Innetwork data aggregation has been recently proposed as an e#ective 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

Dynamic MultiRoot, MultiQuery Processing Based on Data

Dynamic MultiRoot, MultiQuery Processing Based on Data Sharing In Sensor Networks1 Zhiguo Zhang, Ajay D. Kshemkalyani and Sol M. Shatz Department of Computer Science University of Illinois at Chicago Chicago, Illinois 60607 Appliions that exploit the capabilities of sensor networks have triggered significant research on query processing in

Supporting Spatial Aggregation in Sensor Network Databases

network processing of the aggregation queries on the data generated in the sensor network. We use the adhoc 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

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

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 indie the sequence of steps involved in processing a query.

Processing Multiple Aggregation Queries in GeoSensor

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

Data Aggregation and Query Processing in WSN

Data Aggregation and Query Processing in WSN Ayoni Mukherjee, Sanjit Setua Abstract A wireless sensor network (WSN) has a wide range of important appliions such as remote environment monitoring, target tracking etc. This has been enabled by the availability of sensors that are smaller, cheaper and intelligent. These sensor nodes are

MultiRoot, MultiQuery Processing in Sensor Networks

Most previous research on query processing in sensor networks has focused on the processing of a single longrunning aggregation query (see, for example [8,13]). As an extension to this line of research, Trigoni et al. [11] and Emekci et al. [3] considered the case of reducing message transmission by sharing sensor

Toward adaptive query processing in wireless sensor networks

In this paper, we propose two adaptive query operators, which can adapt their executions according to memory or energy availability. One operator, called ADAGA (ADaptive AGgregation Algorithm for sensor networks), has the capability of processing innetwork aggregation,, in sensor nodes of a WSN. Observe that WSNs usually have a large number

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

Approximate Holistic Aggregation in Wireless Sensor Networks

Holistic aggregations are popular queries for users to obtain detailed summary information from Wireless Sensor Networks. An aggregation operation is holistic if there is no constant bound on the size of the storage needed to describe a subaggregation.

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

Query Privacy Preserving for Data Aggregation in Wireless

Wireless Sensor Networks (WSNs) are increasingly involved in many appliions. However, communiion overhead and energy efficiency of sensor nodes are the major concerns in WSNs. In addition, the broadcast communiion mode of WSNs makes the network vulnerable to privacy disclosure when the sensor nodes are subject to malicious behaviours.

Expos e zur Diplomarbeit Processing Multiple Aggregation

changing link qualities. An e cient query processing system has to use protocols which are able to deal with these conditions. Most existing solutions like for processing aggregation queries in wireless sensor networks, like [MFHH02] and [TGS06], assume a static network with a single gateway node used to disseminate all queries over over