aggregate query processing in wireless sensor network

Processing Approximate Aggregate Queries in Wireless

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

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Assembling regions for efficacious aggregate query

Assembling regions for efficacious aggregate query

Assembling regions for efficacious aggregate query processing in wireless sensor networks. Author(s) Fertis, Apostolos. DownloadFull printable version (6.275Mb) Other Contributors. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.

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Secure pattern based aggregation using query processing

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

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(PDF) Spatial query processing in wireless sensor networks

(PDF) Spatial query processing in wireless sensor networks

Spatial query processing in wireless sensor networks A survey

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KNN Query Processing in Wireless Sensor and Robot

KNN Query Processing in Wireless Sensor and Robot

In Wireless Sensor and Robot Networks (WSRNs), static sensors report event information to one of the robots. In the k nearest neighbour query processing problem in WSRNs, the robot receives event report needs to find exact k nearest robots (KNN) to react to the event, among those connected to it.

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Area Query Processing Based on Gray Code in Wireless

Area Query Processing Based on Gray Code in Wireless

The existing techniques of innetwork query processing suppress and aggregate sensed values to save energy. Nevertheless, these methods do not consider sensor coverage area as part of the results. Consequently, a new innetwork area query processing technique is necessary. Due to inherent limitations of wireless sensor networks, designing an in

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Query Processing for Sensor Networks

Query Processing for Sensor Networks

Sensor networks will become ubiquitous, and the database community has the right expertise to address the challenging problems of tasking the network and managing the data in the network. We described a vision of processing queries over sensor networks, and we discussed some initial steps in innetwork aggre

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Aggregate query processing in the presence of duplies

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.

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Optimized Query Processing for Wireless Sensor Networks

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

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Spatial query processing in wireless sensor networks A

Spatial query processing in wireless sensor networks A

Researchers interested in spatial query processing in wireless sensor networks (WSNs) and query processing in spatial and geographical databases should include this paper in their reference lists. Instead of providing a superficial, general survey, the authors insightfully capture the key characteristics of the details in this field.

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Query Processing in Sensor Networks

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.

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DATA AGGREGATION USING PROBABILITY THEORY FOR WIRELESS

DATA AGGREGATION USING PROBABILITY THEORY FOR WIRELESS

Wireless Sensor Networks (WSN), generally consists of nodes capable of sensing, processing and transmitting of data, detect and tracks the required information. Recent advances in digital electronics and wireless communiion have led to the emergence of WSN''s. In WSN for monitoring / obtaining some information, the geographically distributed sensor nodes can cooperate with each other to

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(PDF) Spatial query processing in wireless sensor networks

(PDF) Spatial query processing in wireless sensor networks

Spatial query processing in wireless sensor networks A survey

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An adaptive innetwork aggregation operator for query

An adaptive innetwork aggregation operator for query

An adaptive innetwork aggregation operator for query processing in wireless sensor networks

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Query Privacy Preserving for Data Aggregation in Wireless

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.

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Optimizing parallel itineraries for knn query processing

Optimizing parallel itineraries for knn query processing

Spatial queries for extracting data from wireless sensor networks are important for many appliions, such as environmental monitoring and military surveillance. One such query is K Nearest Neighbor (KNN) query that facilitates sampling of monitored sensor data in correspondence with a given query loion. Recently, itinerarybased KNN query processing techniques, that propagate queries and

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(PDF) Aggregate Queries in Wireless Sensor Networks

(PDF) Aggregate Queries in Wireless Sensor Networks

In order to solve these problems and to enhance the efficiency of aggregate query processing in wireless sensor networks, this paper proposes Bucketbased Parallel Aggregation (BPA).

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EnergyEfficient Data Organization and Query Processing in

EnergyEfficient Data Organization and Query Processing in

the performance of purely local query optimization techniques for processing queries that span such decomposed relations. 1. INTRODUCTION Wireless sensor networks are an emerging class of highly distributed systems with widespread applicability. In such networks, nodes generate, process and store sensor readings within the network.

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Machine Learning in Wireless Sensor Networks: Algorithms

Machine Learning in Wireless Sensor Networks: Algorithms

Index Terms—Wireless sensor networks, machine learning, data mining, security, localization, clustering, data aggregation, event detection, query processing, data integrity, fault detection, medium access control, compressive sensing. I. INTRODUCTION AWireless sensor network (WSN) is composed typically of multiple autonomous, tiny, low cost

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Processing approximate aggregate queries in wireless

Processing approximate aggregate queries in wireless

Request PDF Processing approximate aggregate queries in wireless sensor networks Abstract Innetwork data aggregation has been recently proposed as an eective,means to reduce the number of

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Impact of Data Aggregation in Wireless Sensor Networks

Impact of Data Aggregation in Wireless Sensor Networks

The Impact of Data Aggregation in Wireless Sensor Networks Abstract— Sensor networks are distributed eventbased systems that differ from traditional communiion networks in several ways: sensor networks have severe energy constraints, redundant lowrate data, and manytoone flows. The endtoend routing schemes that have been pro

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TinyDB: An Acquisitional Query Processing System for

TinyDB: An Acquisitional Query Processing System for

of the power utilization of major elements of sensor network query processing the results of this study are given in Appendix A. In short, we found that in a typical data collection scenario, with relatively powerhungry sensing hardware, about 41% of energy goes to communiing or running the CPU while communiing, with another 58% going to

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Processing Approximate Aggregate Queries in Wireless

Processing Approximate Aggregate Queries in Wireless

Processing Approximate Aggregate Queries in Wireless Sensor Networks Antonios Deligiannakisa Yannis Kotidisb Nick Roussopoulosa aUniversity of Maryland bAT&T LabsResearch Abstract Innetwork 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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Processing approximate aggregate queries in wireless

Processing approximate aggregate queries in wireless

Processing approximate aggregate queries in wireless sensor networks. Authors: Antonios Deligiannakis: University of Maryland: Yannis Kotidis: Departrnent of Information Systems and Analysis, AT&T LabsResearch, NI: Nick Roussopoulos: University of Maryland: Published in: · Journal:

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International Journal of Distributed Energyefficient and

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

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Alternative Tuples Based Probabilistic Skyline Query

Alternative Tuples Based Probabilistic Skyline Query

Free Online Library: Alternative Tuples Based Probabilistic Skyline Query Processing in Wireless Sensor Networks.(Research Article) by "Mathematical Problems in Engineering" Engineering and manufacturing Mathematics Algorithms Mathematical optimization Optimization theory Sensors Wireless sensor networks

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Processing approximate aggregate queries in wireless

Processing approximate aggregate queries in wireless

Processing approximate aggregate queries in wireless sensor networks While the nodes in sensor networks form an aggregation tree where messages are aggregated and, therefore, Y. Yao, J. GehrkeThe Cougar approach to innetwork query processing in sensor networks.

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DATA AGGREGATION USING PROBABILITY THEORY FOR WIRELESS

DATA AGGREGATION USING PROBABILITY THEORY FOR WIRELESS

Wireless Sensor Networks (WSN), generally consists of nodes capable of sensing, processing and transmitting of data, detect and tracks the required information. Recent advances in digital electronics and wireless communiion have led to the emergence of WSN''s. In WSN for monitoring / obtaining some information, the geographically distributed sensor nodes can cooperate with each other to

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EnergyEfficient and Robust Spatial Window Aggregation

EnergyEfficient and Robust Spatial Window Aggregation

In wireless sensor networks, users often submit spatial window aggregation queries to obtain the summary information about a local area in the monitored region, for example, &#x0022retrieving the average temperature from region A.&#x0022. The current stateoftheart spatial window aggregation query processing algorithms do not take sensor node failures into consideration, which leads to low

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EnergyEfficient and Robust Spatial Window Aggregation

EnergyEfficient and Robust Spatial Window Aggregation

Jun 21, 2012 · Abstract: In wireless sensor networks, users often submit spatial window aggregation queries to obtain the summary information about a local area in the monitored region, for example, "retrieving the average temperature from region A.". The current stateoftheart spatial window aggregation query processing algorithms do not take sensor node failures into consideration,

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Optimizing parallel itineraries for knn query processing

Optimizing parallel itineraries for knn query processing

Spatial queries for extracting data from wireless sensor networks are important for many appliions, such as environmental monitoring and military surveillance. One such query is K Nearest Neighbor (KNN) query that facilitates sampling of monitored sensor data in correspondence with a given query loion. Recently, itinerarybased KNN query processing techniques, that propagate queries and

Get price
Supporting Aggregate Queries Over AdHoc Wireless

Supporting Aggregate Queries Over AdHoc Wireless

Supporting Aggregate Queries Over AdHoc Wireless Sensor Networks 2002 Motivation: Sensor Nets and InNetwork Query Processing Many Sensor Network Appliions are Data Oriented Queries Natural and Efficient Data Processing Mechanism Easy (unlike embedded C code) Enable optimizations through abstraction Aggregates Common Case E.g

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Alternative Tuples Based Probabilistic Skyline Query

Alternative Tuples Based Probabilistic Skyline Query

Free Online Library: Alternative Tuples Based Probabilistic Skyline Query Processing in Wireless Sensor Networks.(Research Article) by "Mathematical Problems in Engineering" Engineering and manufacturing Mathematics Algorithms Mathematical optimization Optimization theory Sensors Wireless sensor networks

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Robust and Efficient Aggregate Query Processing in

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

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Query Processing for Sensor Networks

Query Processing for Sensor Networks

Sensor networks will become ubiquitous, and the database community has the right expertise to address the challenging problems of tasking the network and managing the data in the network. We described a vision of processing queries over sensor networks, and we discussed some initial steps in innetwork aggre

Get price
Spatial query processing in wireless sensor networks A

Spatial query processing in wireless sensor networks A

Researchers interested in spatial query processing in wireless sensor networks (WSNs) and query processing in spatial and geographical databases should include this paper in their reference lists. Instead of providing a superficial, general survey, the authors insightfully capture the key characteristics of the details in this field.

Get price
CiteSeerX — Tinycasper: A privacypreserving aggregate

CiteSeerX — Tinycasper: A privacypreserving aggregate

This demo presents a privacypreserving aggregate loion monitoring system, namely, TinyCasper, in which we can monitor moving objects in wireless sensor networks while preserving their loion privacy. TinyCasper consists of two main modules, innetwork loion anonymization and aggregate query processing over anonymized loions.

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Energyefficient and privacypreserving spatial range

Energyefficient and privacypreserving spatial range

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 process

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Area Query Processing Based on Gray Code in Wireless

Area Query Processing Based on Gray Code in Wireless

The existing techniques of innetwork query processing suppress and aggregate sensed values to save energy. Nevertheless, these methods do not consider sensor coverage area as part of the results. Consequently, a new innetwork area query processing technique is necessary. Due to inherent limitations of wireless sensor networks, designing an in

Get price
Wireless Sensor Networks: An Information Processing

Wireless Sensor Networks: An Information Processing

Information processing in sensor networks is a rapidly emerging area of computer science and electrical engineering research. Because of advances in microsensors, wireless networking and embedded processing, ad hoc networks of sensor are becoming increasingly available for commercial, military, and homeland security appliions.

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Data Aggregation and Query Processing in WSN

Data Aggregation and Query Processing in WSN

[3] Meliou Alexandra, Guestrin Carlos, and Hellerstein Joseph, ""Approximating Sensor Network Queries Using InNetwork Summaries", Information Processing in Sensor Networks (IPSN,2009). [4] Fasoloy Elena, Rossiy Michele, Widmer J¨org Zorziy Michele:" Innetwork Aggregation Techniques for Wireless Sensor Networks: A Survey ", IEEE

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Query Processing in Wireless Sensor Network

Query Processing in Wireless Sensor Network

Query Processing in Wireless Sensor Network 3 FIGURE 1(a): Centeralised Data Approach for WSN The following protocols are followed in the Query processing: 2.1 TinyDB TinyDB is a simple protocol which provides Structured Query Language (SQL) Interface which allows user to query the network using declarative queries (retrieves

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An adaptive innetwork aggregation operator for query

An adaptive innetwork aggregation operator for query

An adaptive innetwork aggregation operator for query processing in wireless sensor networks

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Aggregate Query Processing In Wireless Sensor Network

Aggregate Query Processing In Wireless Sensor Network

Processing Area Queries in Wireless Sensor Networks. Processing Area Queries in Wireless Sensor Networks . techniques of innetwork query processing suppress and aggregate sensing values to save energy. However, these methods cannot merge adjacent sensor coverage areas in distributive manner, which is the key to area query processing.

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TinyCasper: A PrivacyPreserving Aggregate Loion

TinyCasper: A PrivacyPreserving Aggregate Loion

This demo presents a privacypreserving aggregate loion monitoring system, namely, TinyCasper,inwhichwecan monitor moving objects in wireless sensor networks while preserving their loion privacy. TinyCasper consists of two main modules, innetwork loion anonymization and aggregate query processing over anonymized loions the

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KNN Query Processing in Wireless Sensor and Robot

KNN Query Processing in Wireless Sensor and Robot

In Wireless Sensor and Robot Networks (WSRNs), static sensors report event information to one of the robots. In the k nearest neighbour query processing problem in WSRNs, the robot receives event report needs to find exact k nearest robots (KNN) to react to the event, among those connected to it.

Get price