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Energy Aware Routing for Spatio

Energy Aware Routing for Spatio-temporal Queries in Sensor Networks Neha Jain Ratnabali Biswas Nagesh Nandiraju and Dharma P Agrawal OBR Research Center for Distributed and Mobile Computing ECECS Department University of Cincinnati Cincinnati OH 45221-0030 Email {njain biswasr nandirns dpa}ececs uc edu Abstract—Wireless sensor

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Accuracy vs Lifetime Linear Sketches for Aggregate

gate queries over sensor networks in an energy–efficient manner From the databases perspective in–network aggregation provides a mechanism for evaluating aggregate queries over sensor networks The common approach to (aggre-gate) query processing in sensor networks has two phases the dissemination phase and the aggregation phase For

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A New Storage Scheme for Approximate Location Queries

1 A New Storage Scheme for Approximate Location Queries in Object Tracking Sensor Networks Xu Member IEEE Xueyan Tang Member IEEE and Wang-Chien Lee Member IEEE Abstract—Energy efficiency is one of the most critical issues in the design of wireless sensor networks

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Holistic Aggregates in a Networked World Distributed

in wireless sensor networks where communication overhead is the key factor in determining sensor battery life [18]) Furthermore each remote site may see a high-speed streamof data and has its own local resource constraints such as storage-spaceor CPU-time constraints This is true for IP routers that cannot possibly store the

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Processing Spatiotemporal Data Map Queries with

sensor network environment and introduces three algorithms for processing STDMap queries in this environment Section 5 presents the experimental evaluation and Section 6 concludes the paper 2 Related Work Query processing with approximate answering in sensor networks has

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Query Processing in Sensor Networks

SENSOR AND ACTUATOR NETWORKS 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 passive devices that simply modulate a voltage on

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Processing approximate aggregate queries in wireless

Processing approximate aggregate queries in wireless sensor networks 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

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Efficient Execution of Aggregate Queries on Big Data

approximate aggregate query execution on Big Data is wireless sensor networks etc This gargantuan data is also query processing technique for aggregate queries Section 4 presents the empirical results and corresponding discussions Finally the work is concluded in Section 5

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Processing approximate aggregate queries in wireless

Dec 01 2006Read Processing approximate aggregate queries in wireless sensor networks Information Systems on DeepDyve the largest online rental service for scholarly research with thousands of academic publications available at your fingertips

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Sketching Streams Through the Net Distributed

Sketching Streams Through the Net Distributed Approximate Query Tracking Graham Cormode in wireless sensor networks where communication overhead is the key factor in determining sensor battery life [18]) Furthermore each remote site may see a high- general class of complex aggregate queries over a collection of distributed data

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Processing Approximate Aggregate Queries in Wireless

CiteSeerX - Document Details (Isaac Councill Lee Giles Pradeep Teregowda) In-network 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 parents

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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 Due to the low quality sensing devices or random environmental disturbances sensor

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Wireless Body Area Networks for Healthcare Applications

Taking all the previous reported topics into consideration WBANs for healthcare applications require an approximate 1-2 meter range present small wireless sensors nodes around the body require real-time processing [6 7] and need to be comfortable and easy to use If the batteries are easy to replace the power consumption is not so critical

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Robust Aggregation in Sensor Networks

on sensor networks has been advocated [24 29] with particular attention paid to efficient query processing for aggregation queries [24 29 31] In the TAG system [24] users connect to the sensor network using a workstation or base station directly connected to a sensor designated as the sink Aggregate queries over the sensor data are

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aggregate query

In a first method the generated query plan includes generating at least one intermediate aggregate query wherein the intermediate aggregate query combines a subset of aggregate queries from the set of aggregate queries so as to pre-aggregate data from the data stream prior to execution of the subset of aggregate queries such that the generated query plan is optimized for computational

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Secure and efficient in

In-network aggregation is a popular methodology adopted in wireless sensor networks which reduces the energy expenditure in processing aggregate queries (such as SUM MAX etc ) over the sensor readings Recently research has focused on secure in-network aggregation motivated (i) by the fact that the sensors are usually deployed in open and unsafe environments and (ii) by new trends such

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962 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA

sampling-based approach to evaluate approximate top-k queries in sensor networks Top-k processing algorithms have also been developed for peer-to-peer networks [2] and private databases [36] However all these studies have focused on snapshot top-k queries whereas we are interested in monitoring continuous top-k queries in this paper

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Deterministic Data Reduction in Sensor Networks

sensor network data extraction Recently data aggregation in sensor networks at-tracted great attention from the research community In sensor networks where the in-network processing of various aggregate queries is paramount data aggre-gation inside the network could drastically reduce the communication cost (consequently prolong the battery

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Approximate Coverage in Wireless Sensor Networks

Approximate Coverage in Wireless Sensor Networks Yuzhen Liu Weifa Liang Department of Computer Science The Australian National University Canberra ACT 0200 Australia Email {yliu wliang}cs anu edu au Abstract—Recent advances in microelectronic technology have made it possible to construct compact and inexpensive wireless sensors

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Approximate Monitoring in Wireless Sensor Networks

Approximate Monitoring in Wireless Sensor Networks Xingbo Yu Sharad Mehrotra Nalini Venkatasubramanian Weiwen Yang School of Information and Computer Science University of California Irvine CA 92697 USA f xyu sharad nalini wyang g ics uci edu Abstract In this paper we develop an energy efficient approach

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TinyDB An Acquisitional Query Processing System for

query processing that emphasize moving queries to data In contrast we advocate acquisitional query processing (ACQP) where we focus not only on traditional techniques but also on the significant new query processing opportunity that arises in sensor networks the fact that smart sensors have control over where when

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Data management in Wireless Sensor Networks (WSN)

Data model in wireless sensor networks Relational model is widely used in traditional databases – SQL databases are everywhere It can also be adopted in WSN databases – Output of sensors can be seen as infinitely-long logical tables data streams – Columns consists of attributes defined in the network as Sensor readings Node_id location Time_stamps

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EnergyEfficient Monitoring of Extreme Values in Sensor

lem in wireless sensor networks (and in general complex dynamic systems) This problem presents very different algorithmic chal-lenges from aggregate and selection queries in the sense that an individual node cannot by itself determine its inclusion in the query result We present novel query processing algorithms for this prob-

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Processing approximate aggregate queries in wireless

Processing approximate aggregate queries in wireless sensor networks 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

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An Adaptive Data Aggregation Algorithm in Wireless Sensor

Wireless sensor network (WSN) is a network of sensor nodes The main constituents of the WSN nodes are the communication devices (i e receiver and transmitter) a small Central Processing unit (CPU) a sensing device and a battery The sensor node senses and gathers infor-mation from the surroundings the CPU executes some

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Approximate monitoring in wireless sensor networks

In this paper we develop an energy efficient approach to processing continuous aggregate queries in sensor networks with bounded quality constraints Specifically we exploit quality-aware in-network aggregation of query information to reduce communication costs

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Antonios Deligiannakis

Outliers in Sensor Network Aggregate Queries In Proc of the 6th Int ACM Workshop on Data Engineering for Wireless and Mobile Access (MobiDE) Beijing China June 2007 [C8] V Stoumpos A Deligiannakis Y Kotidis A Delis Processing Event-Monitoring Queries in Sensor Networks

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Wireless sensor network

Providing security to aggregate data in wireless sensor networks is known as secure data aggregation in WSN were the first few works discussing techniques for secure data aggregation in wireless sensor networks Two main security challenges in secure data aggregation are confidentiality and integrity of data

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Multi

Centralized storage is appropriate for low-data rate small-scale sensor networks where there are infrequent events As the useful data rate increases and the network scale grows centralized storage is not feasible in sensor networks due the power constraints on sensor nodes Aggregate costs of transmitting the data to a base-station can

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Ensemble

viding approximate answers to aggregate queries on sum-marized sensor network data based on data compression and approximation paradigms Aggregate queries are the basis for achieving Online Analytical Processing (OLAP) over sensor network readings in Data Grid environments OLAP has a number of interesting applications for eScience

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