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A memetic algorithm for dynamic design of wireless sensor networks

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dc.contributor.author Ferentinos, KP en
dc.contributor.author Tsiligiridis, TA en
dc.date.accessioned 2014-06-06T06:47:20Z
dc.date.available 2014-06-06T06:47:20Z
dc.date.issued 2007 en
dc.identifier.uri http://dx.doi.org/10.1109/CEC.2007.4424822 en
dc.identifier.uri http://62.217.125.90/xmlui/handle/123456789/3528
dc.subject.other Algorithm design en
dc.subject.other Dynamic design en
dc.subject.other Memetic algorithms en
dc.subject.other Electric power utilization en
dc.subject.other Energy conservation en
dc.subject.other Genetic algorithms en
dc.subject.other Network architecture en
dc.subject.other Wireless sensor networks en
dc.title A memetic algorithm for dynamic design of wireless sensor networks en
heal.type conferenceItem en
heal.identifier.primary 10.1109/CEC.2007.4424822 en
heal.identifier.secondary 4424822 en
heal.publicationDate 2007 en
heal.abstract We present a memetic algorithm that dynamically optimizes the design of a wireless sensor network towards energy conservation and extension of the life span of the network, taking into consideration application-specific requirements, communication constraints and energy consumption of operation and communication tasks of the sensors. The memetic algorithm modifies an already successful genetic algorithm design system and manages to improve its performance. The obtained optimal sensor network designs satisfy all application-specific requirements, fulfill the existing connectivity constraints and incorporate energy conservation characteristics stronger than those of the original genetic algorithm system. Energy management is optimized to guarantee maximum life span of the network without lack of the network characteristics that are required by the specific sensing application. © 2007 IEEE. en
heal.journalName 2007 IEEE Congress on Evolutionary Computation, CEC 2007 en
dc.identifier.doi 10.1109/CEC.2007.4424822 en
dc.identifier.spage 2774 en
dc.identifier.epage 2781 en


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