Apr.03

April 3, 2017
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Best Innovation in the Field of ICT

Best Innovation in the Field of ICT in Algeria 2015

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The innovation was a tool for writing called “YouWrite”. The ultimate goal is to make writing easier.  This is useful for:
– Researchers,
– Journalists,
– Companies,
– Writers,
– Writing learners.

YouWrite Options

–  Adaptive to any field or topic.
–  Suggesting words while writing.
–  Auto-completion of words while writing.
–  Replacing used words by more appropriate words.
–  Searching for phrases that contain some words to check the suitability of words.
–  Indexing the references (for scientific writing).
–  For a specific paper, YouWrite lists the different citations (for scientific writing).

 

Presentation of YouWrite:

 

Publications

Apr.02

April 2, 2017
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An Efficient Management of the Control Channel Bandwidth in VANETs

Accepted in ICC 2017 (Paris)

Noureddine Haouari, Samira Moussaoui, Sidi-Mohammed Senouci,  Abdelwahab Boualouache, and Mohamed Ayoub Messous

The management of radio congestion in the control channel is one of the active research areas in Vehicular Ad-hoc Networks (VANETs). Many congestion control protocols have already been proposed to ensure an optimal management of the radio control channel. LIMERIC is a well-known congestion control protocol which was adopted by the current ETSI standardization process to be applied in the future deployment of VANETs. This protocol uses a mathematical equation to adjust the beaconing rate for each vehicle based on the measured channel load and a targeted channel load. However, efficiently managing all the available bandwidth using LIMERIC is yet to be achieved and still an open challenge. To address this issue, we propose a new approach that enhances LIMERIC protocol so that the available bandwidth would be used efficiently. Our aim is to bring the measured channel load as close as possible to the targeted level of channel load. Our method combines LIMERIC with a novel local density estimation approach called Segment based Local Density Estimation (SLDE). The performance evaluation shows that our approach uses the bandwidth efficiently and allows higher beaconing rate with a fair division of the available bandwidth.

URL: http://ieeexplore.ieee.org/document/7996755/

Publications

Apr.02

April 2, 2017
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Computation Offloading Game for an UAV Network in Mobile Edge Computing

Accepted in ICC 2017 (Paris)

Mohamed-Ayoub Messous, Hichem Sedjelmaci, Noureddin Haouari, Sidi-Mohammed Senouci

Due to the limitations of mobile devices in terms of processing power and battery lifetime, cloud-based solutions offer an attractive approach to answer these shortcomings. Since offloading intensive computation tasks to an edge/cloud server would achieve impressive performances, computation offloading paradigm has attracted the focus of many research groups in the last few years. This paper considers the problem of computation offloading while achieving a trade-off between execution time and energy consumption. The proposed solution is intended for a fleet of small drones that are required to achieve highly intensive computation tasks. Drones need to detect, identify and classify objects or situations. Thus, they are brought to deal with intensive tasks such as pattern recognition and video preprocessing. The latter implement very complex calculations and typically require dedicated and powerful processors, which would definitely accentuate the dilemma between energy and delay. We adopted a game theory model where the players are all the drones in the network with three possible strategies. We defined the cost function to be minimized as a combination of energy overhead and delay. The simulation results are very promising and the achieved performances outperformed their counterparts in terms of average system-wide cost and scalability.

URL:http://ieeexplore.ieee.org/document/7996483/

Publications

Apr.02

April 2, 2017
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Local density estimation for VANETs

Local density estimation for VANETs

Local vehicle density estimation is an integral part of various applications of Vehicular Ad-hoc Networks (VANETs) such as congestion control and congestion traffic estimation. Currently, many applications use beacons to estimate this density. However, many studies show that the reception rate of these beacons can significantly drop at short distances due to a broadcast storm problem in high-density situations. Therefore, the local vehicle density estimation helps VANETs’ applications in giving an estimate of the number of neighbors in their communication range where a vehicle could send and receive correctly packets. Indeed, an accuracy local density estimation considerably enhances the performance of these applications and makes them adaptable to different road scenarios. Our aim in this work is to extend more the local density to be segmented and within the maximum transmission range. This potential gives VANETs’ application the ability to estimate at different ranges depending on their requirements. To this goal, this paper proposes a segment-based approach that ensures high accuracy with low overhead over the maximum vehicles transmission range. Performance results show that the proposed strategy reaches a mean error ratio of approximately 3% with limited overhead over 1000m of range.

 

Bibtex:

@INPROCEEDINGS{7814935,
author={N. Haouari and S. Moussaoui and M. Guerroumi and S. M. Senouci},
booktitle={2016 Global Information Infrastructure and Networking Symposium (GIIS)},
title={Local density estimation for VANETs},
year={2016},
pages={1-6},
keywords={vehicular ad hoc networks;VANET applications;beacon reception rate;broadcast storm problem;local vehicle density estimation;vehicular ad-hoc network applications;DH-HEMTs;Estimation;Histograms;Protocols;Roads;Safety;Vehicles},
doi={10.1109/GIIS.2016.7814935},
month={Oct},}

 

DOWNLOAD (PDF)

 

Publications