Network connectivity buildup by adaptive learning

Author

Roytblat, I. ; Guterman, H. ; Giladi, R.

Author_Institution

Dept. of Electr. Eng. & Comput. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel

fYear

1996

Firstpage

9

Lastpage

12

Abstract

A method for sub-optimal traffic routing in a 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 the master/slave (MS) control approach. The method allows one to spread a wireless network without a-priori knowledge of the connectivity and topology of the network, but all the same allow the network to operate

Keywords

adaptive systems; data communication; learning systems; network topology; radio networks; radiocommunication; telecommunication control; telecommunication network reliability; telecommunication network routing; telecommunication traffic; adaptive learning; data transfer; master/slave control; network connectivity buildup; network topology; parameterized knowledge acquisition; relays; routing decisions; suboptimal traffic routing; terminals; unreliable network infrastructure; wireless network; Communication system control; Communication system traffic control; Counting circuits; Interference; Master-slave; Network topology; Relays; Routing; Systems engineering and theory; Wireless networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Electronics Engineers in Israel, 1996., Nineteenth Convention of

Conference_Location

Jerusalem

Print_ISBN

0-7803-3330-6

Type

conf

DOI

10.1109/EEIS.1996.566880

Filename

566880