Network connectivity buildup by adaptive learning

I. Roytblat, H. Guterman, R. Giladi

Research output: Contribution to conferencePaperpeer-review

Abstract

A method for sub-optimal traffic routing in wireless network (or any other unreliable network infrastructure) by means of adaptive learning is presented. It is aimed to allow data transfer, using the terminals themselves as relays, without network manager interference. Routing decisions are based on the acquisition of parameterized knowledge that encodes a limited view of the network connectivity as seen from each of the terminals. The research was restricted to Master/Slave (MS) control approach. The method allows to spread a wireless network without a-priori knowledge of connectivity and topology of the network, but all the same allow the network to operate.

Original languageEnglish
Pages9-12
Number of pages4
StatePublished - 1 Dec 1996
EventProceedings of the 1996 19th Convention of Electrical and Electronics Engineers in Israel - Jerusalem, Isr
Duration: 5 Nov 19966 Nov 1996

Conference

ConferenceProceedings of the 1996 19th Convention of Electrical and Electronics Engineers in Israel
CityJerusalem, Isr
Period5/11/966/11/96

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