Schweizer, Immanuel ; Wagner, Michael ; Bradler, Dirk ; Strufe, Thorsten ; Mühlhäuser, Max (2012):
kTC - Robust and Adaptive Wireless Ad-hoc Topology Control.
In: 2012 21st International Conference on Computer Communications and Networks (ICCCN): Proceedings,
IEEE, 21st International Conference on Computer Communication Networks (ICCCN), München, Germany, 30.07.-02.08.2012, ISBN 978-1-4673-1544-9,
DOI: 10.1109/ICCCN.2012.6289318,
[Conference or Workshop Item]
Abstract
Topology control for Wireless Sensor Networks (WSN) is a frequently tackled challenge, for which no satisfying general solution for realistic deployments has been found to the current day. Aiding to minimize unnecessary transmissions, it nevertheless represents a crucial function of WSN, in the light of their pursuit of efficiency. kTC is a new WSN topology control that unlike prior art neither relies on location information, nor on complex geometric structures, which could leave doubts about a practical feasibility. Even though location-free approaches have been proposed to circumvent systematic problems, they do not address issues like robustness and adaptability satisfyingly, which may lead to disconnection in real world deployments. kTC is a locationfree approach that adapts topologies dynamically in face of changing environmental influences. It is based on a local, patternbased heuristic, and transmitting only two messages per node to construct the topology it is highly scalable. The graphs kTC creates are symmetric, connected, and planar; they have bounded degree and nodes are off-separated. Simulative evaluations indicate that kTC outperforms known topology control schemes. A preliminary deployment on a sensor testbed corroborates the obtained results and acts as proof of concept for kTC.
Item Type: | Conference or Workshop Item |
---|---|
Erschienen: | 2012 |
Creators: | Schweizer, Immanuel ; Wagner, Michael ; Bradler, Dirk ; Strufe, Thorsten ; Mühlhäuser, Max |
Title: | kTC - Robust and Adaptive Wireless Ad-hoc Topology Control |
Language: | English |
Abstract: | Topology control for Wireless Sensor Networks (WSN) is a frequently tackled challenge, for which no satisfying general solution for realistic deployments has been found to the current day. Aiding to minimize unnecessary transmissions, it nevertheless represents a crucial function of WSN, in the light of their pursuit of efficiency. kTC is a new WSN topology control that unlike prior art neither relies on location information, nor on complex geometric structures, which could leave doubts about a practical feasibility. Even though location-free approaches have been proposed to circumvent systematic problems, they do not address issues like robustness and adaptability satisfyingly, which may lead to disconnection in real world deployments. kTC is a locationfree approach that adapts topologies dynamically in face of changing environmental influences. It is based on a local, patternbased heuristic, and transmitting only two messages per node to construct the topology it is highly scalable. The graphs kTC creates are symmetric, connected, and planar; they have bounded degree and nodes are off-separated. Simulative evaluations indicate that kTC outperforms known topology control schemes. A preliminary deployment on a sensor testbed corroborates the obtained results and acts as proof of concept for kTC. |
Title of Book: | 2012 21st International Conference on Computer Communications and Networks (ICCCN): Proceedings |
Publisher: | IEEE |
ISBN: | 978-1-4673-1544-9 |
Uncontrolled Keywords: | - SCS (Smart Civil Security);- P2P - Area Peer-to-Peer Systems |
Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Peer-to-Peer Netzwerke 20 Department of Computer Science > Telecooperation DFG-Collaborative Research Centres (incl. Transregio) DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet |
Event Title: | 21st International Conference on Computer Communication Networks (ICCCN) |
Event Location: | München, Germany |
Event Dates: | 30.07.-02.08.2012 |
Date Deposited: | 26 Nov 2015 13:07 |
DOI: | 10.1109/ICCCN.2012.6289318 |
Identification Number: | TUD-CS-2012-0095 |
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