Rachid El kouch

Work place: National Institute of Posts and Telecommunications, INPT, RAI2S, Rabat, Morocco

E-mail: elkouch@inpt.ac.ma


Research Interests: Computational Engineering, Software Engineering, Computer systems and computational processes, Information Systems


Rachid EL Kouch is a Professor at the National Institute of Post and Telecommunications (INPT) Rabat Morocco. He is the Manager of PABX Laboratory, attached to Systems and Communications Department. Since 1981, he started his carrier as a telecommunications engineer, and then in 1989 he got his Masters degree of Science in Telecommunications from the University of Colorado-Boulder in the USA. In 2005, he obtained his doctorate degree in applied mathematical from Mohammed Ben Abdellah University- Faculty of Sciences and Techniques of Fez-USMBA. His research fields include mobile delay-tolerant networks, wireless communications.

Author Articles
Energy Efficient Routing Protocol for Delay Tolerant Network Based on Fuzzy Logic and Ant Colony

By Mohamed Ababou Mostafa Bellafkih Rachid El kouch

DOI: https://doi.org/10.5815/ijisa.2018.01.08, Pub. Date: 8 Jan. 2018

The messages routing in a DTN network is a complicated challenge, due on the one hand of intermittent connection between the nodes, the lack of the end-to-end path between source / destination and on the other hand, the constraints related to the capacity of the buffer and the battery. To ensure messages delivery in such an environment, the proposed routing protocols use multiple copies of each message in order to increase the delivery ratio. Most of these routing protocols do not take into account the remaining energy of nodes and the history on the relays that have already received a copy of the message in order to select the nodes that will participate in the message routing. This paper proposes a new approach named EERPFAnt inspired by the ant colony intelligence and improved by the fuzzy logic technique to select the best relay by combining the energy level of the nodes, as well as the information on the relay that have already received a copy of the message to estimate intelligently, the energy level of the nodes at the time of encounter with the desired destination. Simulation results will show that the proposed approach performances are better than those of Epidemic routing protocols, Spray and Wait and ProPHET.

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