Communication technologies such as mobile and wireless have fostered the development of complex applications. Quality of service (QoS), however, is problematic since such communication technologies are characterized by frequent perturbations and changes in their environment including attenuation distortion, free space loss and refraction resulting in performance degradations such as transmission delay due to the traffic behavior characterized by more frequent packet inter-arrival. To avoid network congestion, it is important to dynamically trigger routing techniques suitable for different environment changes. For this purpose, a software framework characterized by adaptive architecture is used. Our framework design methodology integrates experimental tests including simulation to define the architecture components suitable for different environment behaviors. Simulation experiments are carried out here to evaluate the performance of different routing strategies to be triggered dynamically to optimize the network performance defined by the minimization of transmission delays. A new dynamic routing heuristic is defined in this paper. Our experiments are based on numerous network environment changes such as the traffic behaviour and the topology changes. The generated rules that associate routing strategies with the environment behavior will be triggered to make the network adaptive.
['Ilham Benyahia', 'Dany Lapointe']
A Complex Applications Framework Supporting Adaptive Routing Strategy for Ad-hoc Networks