By Khalid Al-Begain, Dieter Fiems, Gábor Horváth

ISBN-10: 3642022049

ISBN-13: 9783642022043

This ebook constitutes the refereed lawsuits of the sixteenth overseas convention on Analytical and Stochastic Modeling thoughts and functions, ASMTA 2009, held in Madrid, Spain, in June 2009 at the side of ECMS 2009, the 23nd eu convention on Modeling and Simulation.

The 27 revised complete papers offered have been rigorously reviewed and chosen from fifty five submissions. The papers are equipped in topical sections on telecommunication networks; instant & cellular networks; simulation; quueing platforms & distributions; queueing & scheduling in telecommunication networks; version checking & strategy algebra; functionality & reliability research of assorted systems.

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Extra info for Analytical and stochastic modeling techniques and applications 16th international conference, ASMTA 2009, Madrid, Spain, June 9-12, 2009: proceedings

Example text

This case can be reached, if either one of the two following events happens: – a PU arrives and occupies a free channel which is not occupied by an SU with probability c1 −(i+j) c1 −i . Therefore, the ongoing SU transmission will not be affected. – a PU arrives and occupies a channel which is utilized by an SU with jα probability c1i,j,k −i , whereas the indicator variable αi,j,k = 1, if i + j < c1 , k = c2 and 0 otherwise. Therefore, the PU preempts the SU from this channel. Furthermore, the preempted SU performs a handoff to another free primary channel i+j < c1 , since there is no backup channel available k = c2 .

Bi,j,k pi,j,k = (c1 − (i − 1 + j)) jαi,j,k + λ1 pi−1,j,k c1 − (i − 1) c1 − (i − 1) (j + 1)(1 − δk ) λ1 pi−1,j+1,k + νi,j,k λ2 pi,j,k−1 + c1 − (i − 1) (j + 1)δk λ1 pi−1,j+1,k−1 + γi,j,k λ2 pi,j−1,k + c1 − (i − 1) +(k + 1)µ2 pi,j,k+1 + (i + 1)µ1 pi+1,j,k +(j + 1)µ2 pi,j+1,k (2) where the value of pi,j,k = 0 for i < 0, j < 0 and k < 0 or k > c2 or i + j > c1 . The value of Bi,j,k is given as (c1 − i + jαi,j ) λ1 + (γi,j,k + νi,j,k )λ2 + (j + k)µ2 + iµ1 c1 − i Performance Metrics. 2 with some modification, different performance metrics can be obtained such as blocking probability, dropping probability and throughput.

Secondly, what are the realistic underlying performance criterions by which ants select the path to a destination (food source) in a multihomed colony? We address these questions throughout this paper. The rest of the paper is structured as follows. Section 2 reviews the commercial IRC implementation guidelines from the literature. In Section 3, we translate the IRC problem into ant colony domain and argue about different design decisions we need to make. Performance, convergence time and criterion metric of the proposed ant based IRC system are evaluated in Section 4 and finally we conclude the paper in Section 5.

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Analytical and stochastic modeling techniques and applications 16th international conference, ASMTA 2009, Madrid, Spain, June 9-12, 2009: proceedings by Khalid Al-Begain, Dieter Fiems, Gábor Horváth


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