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LA6 - Local Aggregation in the Internet of Things

Topics: Aggregation, Classification and Tracking; Data Mining; Energy Efficiency; Environment Monitoring; Gas Analysis and Sensing; Industrial and Structural Monitoring; Internet of Things; Interoperability; Sensor Data Fusion; Smart Buildings and Smart Cities; Ubiquitous Computing; Well-Being and Well-Working

Authors: Bruno Graça Coelho and Rui M. Rocha

Affiliation: Technical University of Lisbon, Portugal

Keyword(s): Local In-Network Data Aggregation, 6LoWPAN, Wireless Sensor Networks, Internet of Things, CTP.

Related Ontology Subjects/Areas/Topics: Aggregation, Classification and Tracking ; Applications and Uses ; Artificial Intelligence ; Biomedical Engineering ; Collaboration and e-Services ; Complex Systems Modeling and Simulation ; Data Communication Networking ; Data Engineering ; Data Manipulation ; Data Mining ; Databases and Information Systems Integration ; e-Business ; Energy Efficiency ; Energy Efficiency and Green Manufacturing ; Enterprise Information Systems ; Environment Monitoring ; Gas Analysis and Sensing ; Health Information Systems ; Industrial and Structural Monitoring ; Industrial Engineering ; Informatics in Control, Automation and Robotics ; Integration/Interoperability ; Internet of Things ; Interoperability ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Obstacles ; Ontologies and the Semantic Web ; Sensor Data Fusion ; Sensor Networks ; Signal Processing ; Simulation and Modeling ; Smart Buildings and Smart Cities ; Soft Computing ; Software Agents and Internet Computing ; Software and Architectures ; Symbolic Systems ; Telecommunications ; Ubiquitous Computing ; Well-Being and Well-Working ; Wireless Information Networks

Abstract: The Internet of Things concept is leaving its toddler age where essentially it is a research issue and becoming a key player in many current applications where Smart Cities are perhaps its greatest exponent. In such real-world scenarios, efficient large scale machine-to-machine communication is of utmost importance. However, the current 6LoWPAN standard, proposed by the IETF, has some efficiency problems which can make its application to the Internet of Things very difficult to scale up. This work transforms the existent 6LoWPAN implementation enabling a data-centric solution that will overcome the current viability issues of 6LoWPAN in these networks through the integration of an in-network data processing aggregation mechanism. The proposed data aggregation mechanism increases dramatically the sustainability and network lifetime of 6LoWPAN based sensor networks, contributing directly to the Internet of Things revolution.

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Paper citation in several formats:
Graça Coelho, B. and M. Rocha, R. (2014). LA6 - Local Aggregation in the Internet of Things. In Proceedings of the 3rd International Conference on Sensor Networks - SENSORNETS; ISBN 978-989-758-001-7; ISSN 2184-4380, SciTePress, pages 103-110. DOI: 10.5220/0004710401030110

@conference{sensornets14,
author={Bruno {Gra\c{C}a Coelho}. and Rui {M. Rocha}.},
title={LA6 - Local Aggregation in the Internet of Things},
booktitle={Proceedings of the 3rd International Conference on Sensor Networks - SENSORNETS},
year={2014},
pages={103-110},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004710401030110},
isbn={978-989-758-001-7},
issn={2184-4380},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Sensor Networks - SENSORNETS
TI - LA6 - Local Aggregation in the Internet of Things
SN - 978-989-758-001-7
IS - 2184-4380
AU - Graça Coelho, B.
AU - M. Rocha, R.
PY - 2014
SP - 103
EP - 110
DO - 10.5220/0004710401030110
PB - SciTePress