Title: Latency-aware publish/subscribe systems on MANET

Authors: Imene Lahyani; Mohamed Jmaiel; Khalil Drira; Christophe Chassot

Addresses: CNRS, LAAS, 7 Avenue du Colonel Roche, F-31400 Toulouse, France; ReDCAD Laboratory, National School of Engineers of Sfax, University of Sfax, B.P. 1173, 3038 Sfax, Tunisia ' ReDCAD Laboratory, National School of Engineers of Sfax, University of Sfax, B.P. 1173, 3038 Sfax, Tunisia; Research Center for Computer Science, Multimedia and Digital Data Processing of Sfax, B.P. 275, Sakiet Ezzit, 3021 Sfax, Tunisia ' CNRS, LAAS, 7 Avenue du Colonel Roche, F-31400 Toulouse, France; Université de Toulouse, LAAS, F-31400 Toulouse, France ' CNRS, LAAS, 7 Avenue du Colonel Roche, F-31400 Toulouse, France; Université de Toulouse, INSA, LAAS, F-31400 Toulouse, France

Abstract: In this paper, we proposed an analytical approach for latency-aware publish/subscribe systems on MANET. The proposed customisable model ensures the user a good quality of service requirements and combines both proactive and reactive statistical analyses. In fact, the reactive analysis, suitable for multimedia applications, aims to detect failures by approximating latency series with a Gumbel distribution. Besides, the proactive analysis, suitable for crisis management applications, forecasts failure occurrence relying on autoregression or autoregressive integrated moving average formulas. Finally, a hybrid analysis was proposed by dynamically switching from reactive to proactive forms of analysis whenever quality of service violations are noticed. The correlation method was also used to identify source failure causes once they were detected or predicted. The efficiency and accuracy of the proposed scheme were validated by performing simulations.

Keywords: publish/subscribe systems; MANETs; mobile ad hoc networks; monitoring; latency awareness; mobile networks; simulation; statistical analysis; reactive analysis; multimedia applications; failure detection; Gumbel distribution; proactive analysis; crisis management; emergency management; failure forecasting.

DOI: 10.1504/IJWMC.2015.069404

International Journal of Wireless and Mobile Computing, 2015 Vol.8 No.3, pp.236 - 248

Received: 16 May 2014
Accepted: 15 Nov 2014

Published online: 13 May 2015 *

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