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Adaptive Task-Oriented Message Template for In-Network Processing

Nguyen, The An Binh ; Meurisch, Christian ; Niemczyk, Stefan ; Böhnstedt, Doreen ; Geihs, Kurt ; Mühlhäuser, Max ; Steinmetz, Ralf (2017):
Adaptive Task-Oriented Message Template for In-Network Processing.
In: 2017 International Conference on Networked Systems (NetSys), pp. 1-8,
IEEE, International Conference on Networked Systems ; NetSys, Göttingen, 13-16 März 2017, DOI: 10.1109/NetSys.2017.7903952,
[Conference or Workshop Item]

Abstract

<div>In disaster situations or on emergency terrains, Internet and Cloud access may be restricted; it may still be important to process complex resource-intensive tasks and to acquire distributed information for emergency response, using ad-hoc networks among, e.g., first responder mobile devices. Corresponding approaches towards coordination, resource utilization, and interoperability are still challenging. This paper introduces the concept of adaptive task-oriented message templates (ATMT) as a basis for overcoming these issues and for enabling cooperative in-network processing without additional synchronization overhead for mobile devices. An ATMT serves as a self-encapsulated message containing the operation chains that need to be executed as well as the required data. In order to address heterogeneity and interoperability issues, we integrate a lightweight ontology. Depending on the current utilization, devices can autonomously decide whether to participate in the network or not. We evaluate our approach in an indoor testbed with 8 wireless mesh nodes. The results confirm that our approach efficiently supports cooperation among heterogeneous devices towards utilizing available in-network resources while reducing network traffic.</div>

Item Type: Conference or Workshop Item
Erschienen: 2017
Creators: Nguyen, The An Binh ; Meurisch, Christian ; Niemczyk, Stefan ; Böhnstedt, Doreen ; Geihs, Kurt ; Mühlhäuser, Max ; Steinmetz, Ralf
Title: Adaptive Task-Oriented Message Template for In-Network Processing
Language: English
Abstract:

<div>In disaster situations or on emergency terrains, Internet and Cloud access may be restricted; it may still be important to process complex resource-intensive tasks and to acquire distributed information for emergency response, using ad-hoc networks among, e.g., first responder mobile devices. Corresponding approaches towards coordination, resource utilization, and interoperability are still challenging. This paper introduces the concept of adaptive task-oriented message templates (ATMT) as a basis for overcoming these issues and for enabling cooperative in-network processing without additional synchronization overhead for mobile devices. An ATMT serves as a self-encapsulated message containing the operation chains that need to be executed as well as the required data. In order to address heterogeneity and interoperability issues, we integrate a lightweight ontology. Depending on the current utilization, devices can autonomously decide whether to participate in the network or not. We evaluate our approach in an indoor testbed with 8 wireless mesh nodes. The results confirm that our approach efficiently supports cooperation among heterogeneous devices towards utilizing available in-network resources while reducing network traffic.</div>

Book Title: 2017 International Conference on Networked Systems (NetSys)
Publisher: IEEE
Uncontrolled Keywords: Mobile Networking
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering > Multimedia Communications
20 Department of Computer Science
20 Department of Computer Science > Telecooperation
LOEWE
LOEWE > LOEWE-Schwerpunkte
LOEWE > LOEWE-Schwerpunkte > NiCER – Networked infrastructureless Cooperation for Emergency Response
Event Title: International Conference on Networked Systems ; NetSys
Event Location: Göttingen
Event Dates: 13-16 März 2017
Date Deposited: 09 Jan 2017 11:08
DOI: 10.1109/NetSys.2017.7903952
Additional Information:

ISBN 978-1-5090-4394-1

Identification Number: TUD-CS-2017-0014
PPN:
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