Development of reliable data transfer in bio-inspired real time load distribution (RTLD) wireless sensor network (WSN)

Development of reliable data transfer in bio-inspired real time load distribution (RTLD) wireless sensor network (WSN)

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Main Author: Tuani Ibrahim, Ahamed Fayeez
Format: Thesis
Published: 2012
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id my-utm-ep.32014
record_format uketd_dc
spelling my-utm-ep.320142013-06-12T07:53:44Z Development of reliable data transfer in bio-inspired real time load distribution (RTLD) wireless sensor network (WSN) 2012-00 Tuani Ibrahim, Ahamed Fayeez Unspecified 2012-00 Thesis http://eprints.utm.my/id/eprint/32014/ masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic Unspecified
spellingShingle Unspecified
Tuani Ibrahim, Ahamed Fayeez
Development of reliable data transfer in bio-inspired real time load distribution (RTLD) wireless sensor network (WSN)
description
format Thesis
qualification_level Master's degree
author Tuani Ibrahim, Ahamed Fayeez
author_facet Tuani Ibrahim, Ahamed Fayeez
author_sort Tuani Ibrahim, Ahamed Fayeez
title Development of reliable data transfer in bio-inspired real time load distribution (RTLD) wireless sensor network (WSN)
title_short Development of reliable data transfer in bio-inspired real time load distribution (RTLD) wireless sensor network (WSN)
title_full Development of reliable data transfer in bio-inspired real time load distribution (RTLD) wireless sensor network (WSN)
title_fullStr Development of reliable data transfer in bio-inspired real time load distribution (RTLD) wireless sensor network (WSN)
title_full_unstemmed Development of reliable data transfer in bio-inspired real time load distribution (RTLD) wireless sensor network (WSN)
title_sort development of reliable data transfer in bio-inspired real time load distribution (rtld) wireless sensor network (wsn)
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2012
_version_ 1747815900481847296

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