Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/34950
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dc.contributor.authorKadir, Herdawatie Abdul-
dc.contributor.authorArshad, M. R.-
dc.date.accessioned2016-07-21T09:31:14Z-
dc.date.available2016-07-21T09:31:14Z-
dc.date.issued2015-12-
dc.identifier.issn0975-1033 (Online); 0379-5136 (Print)-
dc.identifier.urihttp://nopr.niscair.res.in/jspui/handle/123456789/34950-
dc.description1951-1961en_US
dc.description.abstractLong term monitoring for ocean observation is often difficult and expensive due to extreme ocean situation and befouling problem. In order to maintain reliable measurement over the entire recorded dataset, calibration needs to be done over time. The detection of unstable parameters cannot rely totally on direct measurements of sensors (buoy), but can be extended with an aerial observation platform which acts as an information hub and eyes to the surroundings. Therefore, more interpretation can be made to the real time data with higher bandwidth of information. This work presents a consensus decision making scheme for ocean observation platform using the multi blimp system and series of ODAS buoys. Not only the ocean observing system introduces biofriendly system but more accurate decision can be made to the measurement reading considering the ocean environment condition. The consensus scheme was tested in “small world” properties based on the Starling Flock Networks. The outcomes indicated that the results of the proposed consensus improved the direction of travel of small group and the performances were satisfying.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rightsCC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJMS Vol.44(12) [December 2015]en_US
dc.subjectMulti Agenten_US
dc.subjectBlimpen_US
dc.subjectBuoyen_US
dc.subjectObservationen_US
dc.subjectOceanen_US
dc.subjectConsensusen_US
dc.titleOcean Observation System using Multi Blimp System with Animal inspired Consensus Decision Makingen_US
dc.typeArticleen_US
Appears in Collections:IJMS Vol.44(12) [December 2015]

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