Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/13907
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Laoudias, C. | - |
dc.contributor.author | Panayiotou, C. G. | - |
dc.contributor.author | Michaelides, Michalis P. | - |
dc.date.accessioned | 2019-05-31T08:58:24Z | - |
dc.date.available | 2019-05-31T08:58:24Z | - |
dc.date.issued | 2011-12-01 | - |
dc.identifier.citation | 54th Annual IEEE Global Telecommunications Conference: ""Energizing Global Communications"", GLOBECOM 2011; Houston, TX; United States; 5 December 2011 through 9 December 2011 | en_US |
dc.identifier.isbn | 9781424492688 | - |
dc.identifier.issn | 2-s2.0-84857211828 | - |
dc.identifier.issn | https://api.elsevier.com/content/abstract/scopus_id/84857211828 | - |
dc.description.abstract | This paper investigates the use of a sensor network for localizing and tracking a moving target using only binary data. Due to the simple nature of the sensor nodes, sensing can be tampered (accidentally or maliciously), resulting in a significant number of sensor nodes reporting erroneous observations. Therefore, it is essential that any event tracking algorithm used in Wireless Sensor Networks (WSNs) exhibits fault tolerant behavior in order to tolerate a number of misbehaving nodes. SNAP (Subtract on Negative Add on Positive), is a simple event localization algorithm designed for WSNs applications that exhibits this fault tolerant behavior. The main contribution of this paper is to combine the decentralized implementation of SNAP with Kalman Filter techniques for tracking the movement of a target. This efficient tracking procedure provides fairly accurate results and turns out to be fault tolerant even when a large percentage of the sensor nodes report erroneous observations. © 2011 IEEE. | en_US |
dc.language.iso | en | en_US |
dc.rights | © IEEE | en_US |
dc.subject | Peer to peer computing | en_US |
dc.subject | Fault tolerance | en_US |
dc.subject | Fault tolerant systems | en_US |
dc.subject | Target tracking | en_US |
dc.subject | Wireless sensor networks | en_US |
dc.subject | Estimation | en_US |
dc.subject | Noise | en_US |
dc.title | Fault tolerant target localization and tracking in wireless sensor networks using binary data | en_US |
dc.type | Conference Papers | en_US |
dc.collaboration | University of Cyprus | en_US |
dc.subject.category | Electrical Engineering - Electronic Engineering - Information Engineering | en_US |
dc.country | Cyprus | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.relation.conference | GLOBECOM - IEEE Global Telecommunications Conference | en_US |
dc.identifier.doi | 10.1109/GLOCOM.2011.6134321 | en_US |
dc.identifier.scopus | 2-s2.0-84857211828 | en |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/84857211828 | en |
dc.contributor.orcid | #NODATA# | en |
dc.contributor.orcid | #NODATA# | en |
dc.contributor.orcid | #NODATA# | en |
cut.common.academicyear | 2011-2012 | en_US |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_c94f | - |
item.cerifentitytype | Publications | - |
item.openairetype | conferenceObject | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0002-0549-704X | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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