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ISI and PAPR Immune IEEE 802.11p Channels Based on Single-Carrier Frequency Domain Equalizer اسراء محمد محمد ابراهيم ابراهيم

Doppler Effect is a prominent obstacle in vehicular networks, which dramatically increase the Bit-Error-Rate (BER). This problem is accompanied with the presence of the Orthogonal Frequency Division Multiplexing (OFDM) systems in which the Doppler shift interrupts the subcarriers orthogonality. Additionally, Inter-Symbol Interference (ISI) and high Peak-to-Average Power Ratio (PAPR) are likely to occur which corrupt the received signal. In this paper, the single-carrier combined with the frequency domain equalizer (SC-FDE) is utilized as an alternative to the OFDM over the IEEE 802.11p uplink vehicular channels. The Minimum Mean Squared Error (MMSE) and Zero-Forcing (ZF) are employed in order to study the impact of these equalization techniques along with the SC-FDE on the propagation medium. In addition, we aim to enhance the BER, improve the transmitted signal quality and achieve ISI and PAPR mitigation. The proposed schemes are investigated and we found that the MMSE outperforms the ZF equalization under different Doppler shift effects and modulations.

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A Hybrid Mutation Chemical Reaction Optimization Algorithm for Global Numerical Optimization اسراء محمد محمد ابراهيم ابراهيم
This paper proposes a hybrid metaheuristic approach that improves global numerical optimization by increasing optimal quality and accelerating convergence. This algorithm involves a recently developed process for chemical reaction optimization and two adjustment operators (turning andmutation operators).Three types ofmutation operators (uniform, nonuniform, and polynomial) were combined with chemical reaction optimization and turning operator to find themost appropriate framework.Thebest solution among these three options was selected to be a hybrid mutation chemical reaction optimization algorithm for global numerical optimization. The optimal quality, convergence speed, and statistical hypothesis testing of our algorithm are superior to those previous high performance algorithms such as RCCRO, HP-CRO2, and OCRO. ...
A Hybrid Cooperative Model for Bandwidth Utilization in Vehicular Ad hoc Networks Based on Game Theory اسراء محمد محمد ابراهيم ابراهيم

Generally speaking, Vehicular Ad hoc Networks comprise vehicles and roadside stations as the common types of nodes. These nodes are mainly providing each other with relevant information. A wide range of applications are supported by Vehicular Ad hoc Networks such as file downloading, or access to the Internet with lack of resource controlling. These challenging resource managements degrade the network performance and create competitive environments. Through this paper, we introduce a novel algorithm for bandwidth sharing enhancement in both vehicle-to-vehicle and vehicle-to-roadside communications. We aim to improve the bandwidth usage based on coalition formation game in order to reduce the cost paid by vehicles for bandwidth reservation at roadsides. Mainly, we intend the enhancement of both individual vehicles’ payoff along with the whole network gain. Simulation results have proven that the proposed algorithm succeed to analyze this conflicting situation efficiently. In addition, satisfaction rates up to 75% have been achieved with an incredibly increase in the network throughput.

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A Novel Diversity Guided Particle Swarm Multi-Objective Optimization Algorithm اسراء محمد محمد ابراهيم ابراهيم

This paper presents a mu lti-objective d iversity gu ided Particle Swa rm Op timization a pproach named MOPSO- AR wh ich increases di versity perfo rmance of multi-objective Parti cle S warm optimization by u sing A ttraction a nd Re pulsion (AR) m echanism. AR m echanism us es a d iversity measure to control the swar m. Being attractive and repulsive wil l help to overcome t he problem of premature c onvergence. AR mechanism together wi th cr owding di stance co mputation an d mutation operator maintains the diversity of non -dominated set in external archive. The approach is verified by several te st f unction exper iments. Results demo nstrate t hat the p roposed approach i s highly competitive in distribution of non-dominated solutions but still keeps convergence towards the Pareto front.

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Cluster Formation Based on Improved Many Optimizing Liaisons Optimization Algorithm in Wireless Sensor Networks اسراء محمد محمد ابراهيم ابراهيم

Extending Wireless Sensor Networks (WSNs) lifetime is one prominent challenge nowadays. Clustering in WSNs is used to manage energy consumption through data aggregation at the cluster head. WSNs energy-aware clustering is often formulated as an optimization problem. Therefore, an Improved Swarm Intelligence algorithm is proposed, named Improved Many Optimizing Liaisons (IMOL). The proposed algorithm is proposed to optimize the wireless sensor clustering to extend the network lifetime. This paper presents different comparisons among IMOL and the famous heuristic clustering algorithms. Simulation results demonstrate that the proposed IMOL algorithm gave a higher network lifetime over its comparatives.

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Investigating the combination of structural and textual information about multimedia retrieval سنا عبدالحميد عبدالرحمن الفخفاخ

Sana FAKHFAKH, Mohamed TMAR and Walid MAHDI: Investigating the combination of structural and textual information about multimedia retrieval. In International Journal of Advanced Computer Science and Applications, volume 5 issue 2 (2014)

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A study of impact of integration structural context in multimedia retrieval: Application on image media سنا عبدالحميد عبدالرحمن الفخفاخ

Sana FAKHFAKH, Mohamed TMAR and Walid MAHDI: A study of impact of integration structural context in multimedia retrieval: Application on image media. In International Journal Research in Computing Science, volume 90 (2015).

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Image Retrieval Based On Using Hamming Distance سنا عبدالحميد عبدالرحمن الفخفاخ

Sana FAKHFAKH, Mohamed TMAR and Walid MAHDI: Image Retrieval Based On Using Hamming Distance. In Elsevier Science in Procedia Computer Science journal, Volume 73, pp 320-327 (2015).

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Image retrieval based on structural and textual context سنا عبدالحميد عبدالرحمن الفخفاخ

Sana FAKHFAKH, Mohamed TMAR and Walid MAHDI : Image retrieval based on structural and textual context. In 27th International Conference on Software Engineering and Knowledge Engineering (SEKE 2015), pp 725. Pittsburgh, USA, (2015).

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MIRACL at imageclef 2014: Plant identification task سنا عبدالحميد عبدالرحمن الفخفاخ

Hanen KARAMTI, Sana FAKHFAKH, Mohamed TMAR, Walid MAHDI and Faiez GARGOURI : MIRACL at imageclef 2014: Plant identification task. CLEF 2014 Conference, Sheffield, UK, volume 1180 of CEUR Workshop Proceedings, pp 747–755. CEUR-WS.org, (2014).

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