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Exploiting Spatio-temporal Correlations for Data Processing in Sensor Networks

by Antonios Deligiannakis, Yannis Kotidis
"... Abstract. Recent advances in microelectronics have made feasible the deployment of sensor networks for a variety of monitoring and surveil-lance tasks. In such tasks the state of the network is evaluated either at regular intervals at a base-station, which constitutes a centralized lo-cation where t ..."
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the characteristics of the collected data. Depending on the nature of the monitoring application at hand, the targeted data characteristics may range from simply monitoring the variance of a node’s measurements to identifying spatio-temporal corre-lations amongst the values collected by the sensor nodes. 1

Distances for spatio-temporal clustering. In:

by Slava Kisilevich , Florian Mansmann , Mirco Nanni , Salvatore Rinzivillo - Decimo Convegno Nazionale su Sistemi Evoluti per Basi di Dati (SEBD 2002), Portoferraio (Isola d’Elba), , 2002
"... Summary. Spatio-temporal clustering is a process of grouping objects based on their spatial and temporal similarity. It is relatively new subfield of data mining which gained high popularity especially in geographic information sciences due to the pervasiveness of all kinds of location-based or env ..."
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Summary. Spatio-temporal clustering is a process of grouping objects based on their spatial and temporal similarity. It is relatively new subfield of data mining which gained high popularity especially in geographic information sciences due to the pervasiveness of all kinds of location

An Adaptive and Composite Spatio-Temporal Data Compression Approach for Wireless Sensor Networks ∗

by Azad Ali, Abdelmajid Khelil, Piotr Szczytowski, Neeraj Suri
"... Wireless Sensor Networks (WSN)are often deployedto sample the desired environmental attributes and deliver the acquired samples to the sink for processing, analysis or simulations as per the application needs. Many applications stipulate high granularity and data accuracy that results in high data v ..."
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and forensics tolerate high latencies for sensor data collection. Accordingly, we develop a fully distributed adaptive technique for spatial and temporal innetwork datacompression with accuracyguarantees. We exploit thespatio-temporal correlation ofsensor readings while benefiting from possible data delivery

On the optimal density for real-time data gathering of spatio-temporal processes in sensor networks

by Răzvan Cristescu, Martin Vetterli - In International Symposium on Information Processing in Sensor Networks , 2005
"... Abstract — We consider sensor networks that measure spatio-temporal correlated processes. An important task in such settings is the reconstruction at a certain node, called the sink, of the data at all points of the field. We consider scenarios where data is time critical, so delay results in distor ..."
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Abstract — We consider sensor networks that measure spatio-temporal correlated processes. An important task in such settings is the reconstruction at a certain node, called the sink, of the data at all points of the field. We consider scenarios where data is time critical, so delay results

Materials for an exploratory theory of the network society.

by Manuel Castells , Anthony Giddens , Alain Touraine , Anthony Smith , Benjamin Barber , Peter Hall , Roger-Pol Droit , Sophie Watson , Frank Webster , Krishan Kumar , David Lyon , Craig Calhoun , Jeffrey Henderson , Ramon Ramos , Jose E Rodrigues-Ibanez , Jose F Tezanos , Mary Kaldor , Stephen Jones , Christopher Freeman - The British Journal of Sociology , 2000
"... ABSTRACT This article aims at proposing some elements for a grounded theor y of the network society. The network society is the social structure characteristic of the Information Age, as tentatively identi ed by empirical, cross-cultural investigation. It permeates most societies in the world, in v ..."
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, in various cultural and institutional manifestations, as the industrial society characterized the social structure of both capitalism and statism for most of the twentieth centur y. Social structures are organized around relationships of production/consumption, power, and experience, whose spatio-temporal

A PCA-based Data Stream Reduction Scheme for Sensor Networks

by Alexander Fedoseev, Young-hwan Choi, Eenjun Hwang
"... The emerging notion of data stream has brought many new challenges to the research communities as a consequence of its conceptual difference with conventional concepts of just data. One typical example is data stream processing in sensor networks. The range of data processing considerations in a sen ..."
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the cooperation of a query engine (or application) with a network base station. Our method exploits the spatio-temporal correlation among multiple measurements from different sensors. Finally, we present a new framework for data processing and describe a number of experiments under this framework. We compare our

Distributed source coding; Correlated data collection; Data suppression DEFINITION

by Amol Deshpande
"... Data compression issues arise in a sensor network when designing protocols for efficiently collecting all data observed by the sensor nodes at an Internet-connected base station. More formally, let Xi denote an attribute being observed by a node in the sensor network – Xi may be an environmental pro ..."
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network may also be appropriate in some settings. MAIN TEXT The key issue in designing data collection protocols is modeling and exploiting the strong spatio-temporal correlations present in most sensor networks. Let X t i be a random variable that denotes the value of Xi at

Wireless Sensor Networking in Challenging Environments

by Mo Sha, Raj Jain, Jonathan Turner, Guoliang Xing, Mo Sha , 2014
"... This Dissertation is brought to you for free and open access by Washington University Open Scholarship. It has been accepted for inclusion in All Theses and Dissertations (ETDs) by an authorized administrator of Washington University Open Scholarship. For more information, please contact ..."
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This Dissertation is brought to you for free and open access by Washington University Open Scholarship. It has been accepted for inclusion in All Theses and Dissertations (ETDs) by an authorized administrator of Washington University Open Scholarship. For more information, please contact

Statistical Nested Sensor Array Signal Processing

by Keyong Han, I. Norman Katz, Nan Lin, Hiro Mukai, Heinz Schaettler, Keyong Han, Saint Louis Missouri , 2015
"... ..."
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Abstract not found

SIMULATION, DEVELOPMENT AND DEPLOYMENT OF MOBILE WIRELESS SENSOR NETWORKS FOR MIGRATORY BIRD TRACKING

by Bird Tracking, William P. Bennett, William P., Development, Deployment Of, Mobile Wireless Sensor, William P. Bennett, William P. Bennett, Adviser Mehmet, C. Vuran , 2012
"... This thesis presents CraneTracker, a multi-modal sensing and communication system for monitoring migratory species at the continental level. By exploiting the robust and extensive cellular infrastructure across the continent, traditional mobile wireless sensor networks can be extended to enable reli ..."
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This thesis presents CraneTracker, a multi-modal sensing and communication system for monitoring migratory species at the continental level. By exploiting the robust and extensive cellular infrastructure across the continent, traditional mobile wireless sensor networks can be extended to enable
Results 1 - 10 of 145