Traffic Sensitive Algorithms and Performance Measures for the Generation of Self-Organizing Radio Network Schedules

Julie Shor; Thomas G. Robertazzi

doi:10.1109/26.212359

Traffic Sensitive Algorithms and Performance Measures for the Generation of Self-Organizing Radio Network Schedules

Julie Shor
, Thomas G. Robertazzi

Electrical Engineering

Gruman Space and Electronic Division

Research output: Contribution to journal › Article › peer-review

25 Scopus citations

Abstract

The generation of transmission schedules for self-organizing radio networks by traffic sensitive algorithms is described. A centralized “Traffic” algorithm that can be used as a performance benchmark is presented. Also described is a distributed “degree” algorithm that is a traffic sensitized version of an algorithm developed by Ephremides and Truong. Two performance measures for comparing schedules and simulation results are also presented.

Original language	English
Pages (from-to)	16-21
Number of pages	6
Journal	IEEE Transactions on Communications
Volume	41
Issue number	1
DOIs	https://doi.org/10.1109/26.212359
State	Published - Jan 1993

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abstract = "The generation of transmission schedules for self-organizing radio networks by traffic sensitive algorithms is described. A centralized “Traffic” algorithm that can be used as a performance benchmark is presented. Also described is a distributed “degree” algorithm that is a traffic sensitized version of an algorithm developed by Ephremides and Truong. Two performance measures for comparing schedules and simulation results are also presented.",

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Traffic Sensitive Algorithms and Performance Measures for the Generation of Self-Organizing Radio Network Schedules

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