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http://hdl.handle.net/1893/3371
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DC Field | Value | Language |
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dc.contributor.author | Niazi, Muaz A K | en_UK |
dc.contributor.author | Hussain, Amir | en_UK |
dc.date.accessioned | 2016-11-11T23:25:47Z | - |
dc.date.available | 2016-11-11T23:25:47Z | - |
dc.date.issued | 2011-10 | en_UK |
dc.identifier.uri | http://hdl.handle.net/1893/3371 | - |
dc.description.abstract | We propose the Sensing of Emergent behavior in a Complex Adaptive System (SECAS), an extension of our previous work Formal Agent Based Simulation Framework (FABS). Using aggregated data from an array of proximity sensors, SECAS allows for the detection of complex behavior such as flocking of mobile robots or life forms. For validation, we develop an agentbased simulation model. Extensive simulation experiments using a wide range of randomly deployed sensors demonstrate the effectiveness of SECAS in the sensing of flocking. | en_UK |
dc.language.iso | en | en_UK |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_UK |
dc.relation | Niazi MAK & Hussain A (2011) Sensing Emergence in Complex Systems. IEEE Sensors Journal, 11 (10), pp. 2479-2480. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5750012&isnumber=5975325; https://doi.org/10.1109/JSEN.2011.2142303 | en_UK |
dc.rights | Published in IEEE Sensors Journal. © Copyright 2011 IEEE.; © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_UK |
dc.subject | Event detection | en_UK |
dc.subject | Multiagent systems | en_UK |
dc.subject | Agent-based simulation | en_UK |
dc.subject | complex adaptive system | en_UK |
dc.subject | environment | en_UK |
dc.subject | flocking | en_UK |
dc.subject | cognitive sensor network | en_UK |
dc.subject | Wireless sensor network | en_UK |
dc.subject | Computer simulation | en_UK |
dc.subject | Simulation methods | en_UK |
dc.subject | Computer networks | en_UK |
dc.title | Sensing Emergence in Complex Systems | en_UK |
dc.type | Journal Article | en_UK |
dc.identifier.doi | 10.1109/JSEN.2011.2142303 | en_UK |
dc.citation.jtitle | IEEE Sensors Journal | en_UK |
dc.citation.issn | 1530-437X | en_UK |
dc.citation.volume | 11 | en_UK |
dc.citation.issue | 10 | en_UK |
dc.citation.spage | 2479 | en_UK |
dc.citation.epage | 2480 | en_UK |
dc.citation.publicationstatus | Published | en_UK |
dc.citation.peerreviewed | Refereed | en_UK |
dc.type.status | AM - Accepted Manuscript | en_UK |
dc.identifier.url | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5750012&isnumber=5975325 | en_UK |
dc.author.email | thhgttg@gmail.com | en_UK |
dc.contributor.affiliation | COMSATS Institute of IT | en_UK |
dc.contributor.affiliation | Computing Science | en_UK |
dc.identifier.isi | WOS:000294009700015 | en_UK |
dc.identifier.scopusid | 2-s2.0-80051878177 | en_UK |
dc.identifier.wtid | 829385 | en_UK |
dc.contributor.orcid | 0000-0002-8080-082X | en_UK |
dcterms.dateAccepted | 2011-10-31 | en_UK |
dc.date.filedepositdate | 2011-09-28 | en_UK |
rioxxterms.type | Journal Article/Review | en_UK |
rioxxterms.version | AM | en_UK |
local.rioxx.author | Niazi, Muaz A K| | en_UK |
local.rioxx.author | Hussain, Amir|0000-0002-8080-082X | en_UK |
local.rioxx.project | Internal Project|University of Stirling|https://isni.org/isni/0000000122484331 | en_UK |
local.rioxx.freetoreaddate | 2011-10-31 | en_UK |
local.rioxx.licence | http://www.rioxx.net/licenses/under-embargo-all-rights-reserved||2011-10-31 | en_UK |
local.rioxx.licence | http://www.rioxx.net/licenses/all-rights-reserved|2011-10-31| | en_UK |
local.rioxx.filename | final_secas_authors_versionv1.pdf | en_UK |
local.rioxx.filecount | 1 | en_UK |
local.rioxx.source | 1530-437X | en_UK |
Appears in Collections: | Computing Science and Mathematics Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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final_secas_authors_versionv1.pdf | Fulltext - Accepted Version | 305.3 kB | Adobe PDF | View/Open |
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