dc.contributor.author |
Antoniou, Pavlos
|
|
dc.contributor.author |
Pitsillides, Andreas
|
|
dc.contributor.author |
Blackwell, Tim
|
|
dc.contributor.author |
Engelbrecht, Andries P.
|
|
dc.contributor.author |
Michael, Loizos
|
|
dc.date.accessioned |
2014-05-12T12:39:38Z |
|
dc.date.available |
2014-05-12T12:39:38Z |
|
dc.date.issued |
2013 |
|
dc.description.abstract |
This paper proposes that the flocking behavior of birds can guide the design of a robust, scalable
and self-adaptive congestion control protocol in the context of wireless sensor networks (WSNs).
The proposed approach adopts a swarm intelligence paradigm inspired by the collective behavior
of bird flocks. The main idea is to ‘guide’ packets (birds) to form flocks and flow towards the
sink (global attractor), whilst trying to avoid congestion regions (obstacles). The direction of
motion of a packet flock is influenced by repulsion and attraction forces between packets, as well
as the field of view and the artificial magnetic field in the direction of the artificial magnetic pole
(sink). The proposed approach is simple to implement at the individual node, involving minimal
information exchange. In addition, it displays global self-* properties and emergent behavior,
achieved collectively without explicitly programming these properties into individual packets.
Performance evaluations show the effectiveness of the proposed Flock-based Congestion Control
(Flock-CC) mechanism in dynamically balancing the offered load by effectively exploiting
available network resources and moving packets to the sink. Furthermore, Flock-CC provides
graceful performance degradation in terms of packet delivery ratio, packet loss, delay and energy
tax under low, high and extreme traffic loads. In addition, the proposed approach achieves
robustness against failing nodes, scalability in different network sizes and outperforms typical
conventional approaches. |
en_US |
dc.description.librarian |
hb2014 |
en_US |
dc.description.sponsorship |
This work is supported in part by the GINSENG: Performance Control in Wireless Sensor
Networks project funded by the 7th Framework Programme under Grant No. ICT-224282
and the MiND2C : Mimicking Nature for Designing Robust Congestion Control Mechanisms in Self-Organized Autonomous Decentralized Networks project funded by the Research Promotion Foundation of Cyprus under Grant No. TPE/EPIKOI/0308(BE)/03. |
en_US |
dc.description.uri |
http://www.elsevier.com/ locate/comnet |
en_US |
dc.identifier.citation |
Antoniou, P, Pitsillides, A, Blackwell, T, Engelbrecht, A & Michael, L 2013, 'Congestion control in wireless sensor networks based on bird flocking behavior', Computer Networks, vol .57, no. 5, pp. 1167-1191. |
en_US |
dc.identifier.issn |
1389-1286 (print) |
|
dc.identifier.other |
10.1016/j.comnet.2012.12.008 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/39779 |
|
dc.language.iso |
en |
en_US |
dc.publisher |
Elsevier |
en_US |
dc.rights |
© 2012 Elsevier B.V. All rights reserved.Notice : this is the author’s version of a work that was accepted for publication in Computer Networks. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computer Networks, vol. 57, no. 5, pp. 1167-1191, 2013. doi : 10.1016/j.comnet.2012.12.008 |
en_US |
dc.subject |
Wireless sensor network (WSN) |
en_US |
dc.subject |
Bird flocking behavior |
en_US |
dc.subject |
Congestion control |
en_US |
dc.subject |
Avoidance |
en_US |
dc.title |
Congestion control in wireless sensor networks based on bird flocking behavior |
en_US |
dc.type |
Postprint Article |
en_US |