Treffer: Data aggregation as an essential paradigm in Wireless Sensor Networks

Title:
Data aggregation as an essential paradigm in Wireless Sensor Networks
Authors:
Carneiro Viana, Aline, Bertier, Marin
Contributors:
As Scalable As Possible: foundations of large scale dynamic distributed systems (ASAP), Université de Rennes (UR)-Centre Inria de Saclay, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Centre Inria de l'Université de Rennes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-SYSTÈMES LARGE ÉCHELLE (IRISA-D1), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), J. N. Turner and C. S. Boyer
Source:
J. N. Turner and C. S. Boyer. Ad Hoc Networks: New Research. :45-60
Publisher Information:
CCSD; Nova Science Publisher, Inc., 2008.
Publication Year:
2008
Collection:
collection:EC-PARIS
collection:UNIV-RENNES1
collection:CNRS
collection:INRIA
collection:UNIV-UBS
collection:INSA-RENNES
collection:INRIA-RENNES
collection:IRISA
collection:INRIA-SACLAY
collection:IRISA_SET
collection:INRIA_TEST
collection:TESTALAIN1
collection:IRISA-INSA-R
collection:IRISA-D1
collection:INRIA2
collection:UR1-HAL
collection:UR1-MATH-STIC
collection:UR1-UFR-ISTIC
collection:TEST-UNIV-RENNES
collection:TEST-UR-CSS
collection:UNIV-RENNES
collection:INRIA-RENGRE
collection:INSA-GROUPE
collection:INSTITUTS-TELECOM
collection:UR1-MATH-NUM
Subject Terms:
Data aggregation, data management, wireless sensor networks, resource management, ACM: C.: Computer Systems Organization, C.2: COMPUTER-COMMUNICATION NETWORKS, C.2.0: General, C.2.0.0: Data communications, C.2.1: Network Architecture and Design, C.2.1.6: Network communications, [INFO.INFO-NI]Computer Science [cs], Networking and Internet Architecture [cs.NI]
Original Identifier:
HAL:
Document Type:
Buch bookPart<br />Book sections
Language:
English
ISBN:
978-1-60456-895-0
Availability:
https://inria.hal.science/inria-00334346
Accession Number:
edshal.inria.00334346v1
Database:
HAL

Weitere Informationen

Considering the Wireless Sensor Network's classical necessity of sensor-to-sink communication, data aggregation can be applied to combine data coming from different sources enroute to a simple sink, allowing in-network consolidation of redundant data. Moreover, it has been put forward as an essential paradigm for WSNs to: conserve the scarce energy resources, minimize the number of transmissions, and eliminate/reduce redundancy. Our objective is to identify the specific characteristics and the potentiality of data aggregation in wireless sensor networks and discuss how existent approaches have implemented it. In particular, the work proposes a general taxonomy of data aggregation mechanisms, while discusses their design alternatives. In this way, we hope to provide insights that will help the choice of which mechanism is more suitable for a particular task. We notice that mobile environments have not always been considered in the discussed data aggregation approaches, and so represent an interesting open issue.