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All Journal International Journal of Electrical and Computer Engineering
Djilali Moussaoui
University of Tlemcen
Computer Science & IT Electrical & Electronics Engineering

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Securing vehicular cloud networks Djilali Moussaoui; Mohamed Feham; Boucif Amar Bensaber; Benamar Kadri
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 5: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (963.553 KB) | DOI: 10.11591/ijece.v9i5.pp4154-4162

Abstract

Vehicular Cloud Networks (VCN) is the network that ensures mobility and availability of resources allowing new services and applications like Network as a Service (NaaS), STorage as a Service (STaaS), Computation as a Service (CompaaS) and Cooperation as a Service (CaaS). In this paper, we propose a solution to secure the Vehicular Cloud Network (VCN). Our challenge in this work is to adapt the PKI architecture, which is mainly used in wired networks to be used in VCN. To propose a security solution for Vehicular Cloud Networks (VCN), our work is based on three steps; the first one is to make network architecture study, where we tried to highlight the main network components. The second step is to propose the security solution architecture. Finally, the last step is to program a test and validate the solution using a simulation.
Clustered chain founded on ant colony optimization energy efficient routing scheme for under-water wireless sensor networks Djilali Moussaoui; Mourad Hadjila; Sidi Mohammed Hadj Irid; Sihem Souiki
International Journal of Electrical and Computer Engineering (IJECE) Vol 11, No 6: December 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v11i6.pp5197-5205

Abstract

One challenge in under-water wireless sensor networks (UWSN) is to find ways to improve the life duration of networks, since it is difficult to replace or recharge batteries in sensors by the solar energy. Thus, designing an energy-efficient protocol remains as a critical task. Many cluster-based routing protocols have been suggested with the goal of reducing overall energy consumption through data aggregation and balancing energy through cluster-head rotation. However, the majority of current protocols are concerned with load balancing within each cluster. In this paper we propose a clustered chain-based energy efficient routing algorithm called CCRA that can combine fuzzy c-means (FCM) and ant colony optimization (ACO) create and manage the data transmission in the network. Our analysis and results of simulations show a better energy management in the network.
Co-Authors Benamar Kadri Boucif Amar Bensaber Mohamed Feham Mourad Hadjila Sidi Mohammed Hadj Irid Sihem Souiki