dc.contributor.author | Antoniou, Pavlos Ch. | en |
dc.contributor.author | Pitsillides, Andreas | en |
dc.contributor.author | Engelbrecht, A. | en |
dc.contributor.author | Blackwell, T. | en |
dc.contributor.author | Michael, Loizos | en |
dc.creator | Antoniou, Pavlos | en |
dc.creator | Pitsillides, Andreas | en |
dc.creator | Engelbrecht, A. | en |
dc.creator | Blackwell, T. | en |
dc.creator | Michael, Loizos | en |
dc.date.accessioned | 2019-11-13T10:38:20Z | |
dc.date.available | 2019-11-13T10:38:20Z | |
dc.date.issued | 2011 | |
dc.identifier.isbn | 978-1-4503-0913-4 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/53567 | |
dc.description.abstract | Recently, sensor networks have attracted significant research interest. However, most studies have mainly focused on protocols for applications in which network performance assurances are not considered essential. With the emergence of mission-critical applications, performance control mechanisms are considered of prime importance. Performance control can be carried out by robust congestion control approaches that aim to keep the network operational under varying network conditions. Swarm intelligence is successfully employed to combat congestion by mimicking the collective behavior of bird flocks. In this way, the emerging global behavior of minimum congestion is achieved collectively. A flock-based congestion control (Flock-CC) approach was proposed in the past. This paper presents a new, simpler Flock-CC approach. Performance evaluations focus on parameter setting and on comparative studies between the new and the earlier version of Flock-CC. © 2011 ACM. | en |
dc.source | ACM International Conference Proceeding Series | en |
dc.source | 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL'11 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84856692723&doi=10.1145%2f2093698.2093776&partnerID=40&md5=d470dfffdc6c3e0a6bcb670a02dc912f | |
dc.subject | Artificial intelligence | en |
dc.subject | Communication | en |
dc.subject | Mission critical applications | en |
dc.subject | Comparative studies | en |
dc.subject | Congestion control (communication) | en |
dc.subject | Network performance | en |
dc.subject | Performance evaluation | en |
dc.subject | Bird flocks | en |
dc.subject | Collective behavior | en |
dc.subject | Cellular automata | en |
dc.subject | Global behaviors | en |
dc.subject | Network condition | en |
dc.subject | Parameter setting | en |
dc.subject | Performance control | en |
dc.subject | Swarm Intelligence | en |
dc.title | Applying swarm intelligence to a novel congestion control approach for wireless sensor networks | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.identifier.doi | 10.1145/2093698.2093776 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Conference Object | en |
dc.description.notes | <p>Sponsors: Kyranova Ltd, Center for TeleInFrastruktur (CTIF) | en |
dc.description.notes | IEEE | en |
dc.description.notes | Universitat Pompeu Fabra | en |
dc.description.notes | Technical University of Catalonia (UPC) | en |
dc.description.notes | River Publishers | en |
dc.description.notes | Technological Center for Telecommunications of Catalonia (CTTC) | en |
dc.description.notes | Conference code: 88372</p> | en |
dc.contributor.orcid | Pitsillides, Andreas [0000-0001-5072-2851] | |
dc.gnosis.orcid | 0000-0001-5072-2851 | |