Prilagodljivost bežične mreže osjetila temeljena na umjetnom imunološkom sustavu

Čavrak, Igor

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doctoral thesis

Prilagodljivost bežične mreže osjetila temeljena na umjetnom imunološkom sustavu

Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2006. urn:nbn:hr:168:796402

Čavrak, Igor

University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Control and Computer Engineering

Cite this document

APA 6th Edition

Čavrak, I. (2006). Prilagodljivost bežične mreže osjetila temeljena na umjetnom imunološkom sustavu (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:796402

MLA 8th Edition

Čavrak, Igor. "Prilagodljivost bežične mreže osjetila temeljena na umjetnom imunološkom sustavu." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2006. https://urn.nsk.hr/urn:nbn:hr:168:796402

Chicago 17th Edition

Harvard

Čavrak, I. (2006). 'Prilagodljivost bežične mreže osjetila temeljena na umjetnom imunološkom sustavu', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 22 September 2024, https://urn.nsk.hr/urn:nbn:hr:168:796402

Vancouver

Čavrak I. Prilagodljivost bežične mreže osjetila temeljena na umjetnom imunološkom sustavu [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2006 [cited 2024 September 22] Available at: https://urn.nsk.hr/urn:nbn:hr:168:796402

IEEE

I. Čavrak, "Prilagodljivost bežične mreže osjetila temeljena na umjetnom imunološkom sustavu", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2006. Available at: https://urn.nsk.hr/urn:nbn:hr:168:796402

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:796402

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Metadata

Title	Prilagodljivost bežične mreže osjetila temeljena na umjetnom imunološkom sustavu
Title (english)	Wireless Sensor Network Adaptability Based On Artificial Immune System
Author	Igor Čavrak
Mentor	Mario Žagar (mentor)
Committee member	Leo Budin (član povjerenstva)
Committee member	Mario Žagar (član povjerenstva)
Committee member	Davor Antonić (član povjerenstva)
Committee member	Mario Kovač (član povjerenstva)
Committee member	Zdenko Kovačić (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing (Department of Control and Computer Engineering) Zagreb
Defense date and country	2006-04-07, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing Process Computing
Universal decimal classification (UDC)	004 - Computer science and technology. Computing. Data processing
Abstract	Doktorska disertacija istražuje mogućnosti ostvarenja adaptivnosti bežične mreže osjetila temeljene na metaforama i mehanizmima imunološkog sustava. U disertaciji su istražena svojstva bežičnih mreža osjetila s naglaskom na ograničenost resursa i problematiku bežične komunikacije čvorova mreže, kao i metode njihova programiranja. Analizirane su osnovne komponente i mehanizmi imunološkog sustava čovjeka te proučene postojeće implementacije i uporabe umjetnih imunoloških sustava. Definiran je model bežične mreže osjetila temeljen na strukturi i funkciji, te homeostazi kao načinu njihova održavanja. Na osnovu predloženog modela definiran je mehanizam samo organizacije i samo prilagodbe bežične mreže osjetila zasnovan na apstrakcijama i mehanizmima imunološke mreže. Analizirana su svojstva predloženog mehanizma s obzirom na svojstva organizacije, prilagodljivosti, robusnosti i skalabilnosti. Izvedena je implementacija sustava za platformu TinyOS i ispitan njen rad u simulatoru.
Abstract (english)	This thesis investigates the prospect of realising wireless sensor network adaptability based on metaphors and mechanisms of immune system. The thesis investigates various wireless sensor network properties primarily focusing on resource constraints and issues related to inter-node wireless communication, as well as existing methods of their programming. Analysis of basic components and mechanisms of human immune system was conducted, accompanied with the survey of existing implementations and applications of artificial immune systems. Wireless sensor network model was defined with structure and function as its building blocks, along with homeostasis as a mean of structure and function preservation. With respect to the proposed model an immune system based mechanism has been defined in order to provide properties of self-organisation and self-adaptation to the wireless sensor network. Analysis of the proposed mechanism has been conducted with respect to desired properties of self-organization, adaptability, robustness and scalability. A TinyOS based version of the system was implemented and tested in a simulator.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:168:796402
Study programme	Title: Computer Science Study programme type: university Study level: postgraduate Academic / professional title: Doktor znanosti (Doktor znanosti)
Type of resource	Text
File origin	Born digital
Access conditions	Closed access
Terms of use
Repository	FER Repository
Created on	2019-07-17 11:03:23