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Journal of Applied Sciences
  Year: 2017 | Volume: 17 | Issue: 1 | Page No.: 1-11
DOI: 10.3923/jas.2017.1.11
Improving the QoS for ad hoc Networks Using and Comparing Genetic and Dynamic Programming
Hassan Faouzi, Hicham Mouncif and Mohamed Lamsaadi

Abstract:
Background and Objective: This research studies the problem of searching the shortest path with a multi-objective (energy, bandwidth, queue, delay) routing protocol. Most of the routing protocols in MANETs which developed to solve this problem are implementing the single-interface and single-channel environment this leads the QoS degradation issues. These issues can be solved by using multi-channel multi-interface (MCMI). Materials and Methods: This new finding considers a wireless ad hoc network composed of nodes equipped with multiple network interfaces to each of which a different wireless channel can be assigned. By embedding information about channel usage in control messages of AODV, each node obtains a view of topology information of the whole network. Based on the obtained information, a source node uses mathematical models (genetic algorithm or dynamic algorithm) to determine a logical path with the maximum available energy and minimum queue to satisfy QoS requirements. Results: Simulation results conducted in network simulator (NS-2) show that our approaches give a good performance than the others. Conclusion: The results indicate that these algorithms improve significantly the Quality of Services and can be used in different environments.
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How to cite this article:

Hassan Faouzi, Hicham Mouncif and Mohamed Lamsaadi, 2017. Improving the QoS for ad hoc Networks Using and Comparing Genetic and Dynamic Programming. Journal of Applied Sciences, 17: 1-11.

DOI: 10.3923/jas.2017.1.11

URL: https://scialert.net/abstract/?doi=jas.2017.1.11

 
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