دانلود رایگان مقاله افزایش کیفیت سرویس مسیریابی با روش فوق ابتکاری در شبکه Ad-hoc تلفن همراه

Abstract

The Quality of Service Routing (QoSR) is always a tricky problem, due to dynamic nature of network, which is always Non-deterministic Polynomial-time (NP) hard. To resolve the problem, multi-constrained QoSR in Mobile Ad-hoc Network (MANET), an intelligent algorithm have been proposed to find the feasible path. This paper focuses on, satisfying the constraint of QoS in MANET inspiring Cuckoo Search(CS) algorithm, based on enhancing conventional CS technique using on-demand protocol. This approach select QoS path based on computation of best fitness value instead of shortest path for Route Replay (RRPLY) packet of Ad-hoc On-Demand Distance Vector (AODV) protocol. The fitness value is computed using three different parameters namely, routing load, residual energy and hop count. The algorithm is applied on AODV protocol for RRPLY, where multiple routes are available. The Cuckoo Search Optimization AODV (CSO-AODV) protocol gives better QoS routing metrics, satisfying QoS constraint. The obtained results of proposed CSO-AODV protocol are compared with, Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO) and basic AODV protocol, tested for three different condition i.e. mobility, scalability and congestion. The simulation results of the proposed algorithm is superior compared to ACO, PSO, and AODV algorithms.

7. Conclusion

This paper deals with performance evaluation of QoS in MANET using proposed CSO-AODV protocol. The CSO-AODV protocol achieves QoS by jointly finding RRPLY from multiple paths using best fitness value computation is carried out. Thus, it satisfies QoS constraint during route discovery process. The performance evaluation of proposed protocol is carried out using network simulation and the results are compared with ACO, PSO and basic AODV protocol. After simulation, results are analyzed using three different conditions i.e. mobility, scalability and congestion. The result analysis shows that proposed protocol is effective for mobility, scalability and congestion network condition and can provides stringent QoS to numerous applications. In future work we want to provide robustness to our proposed system by modifying cuckoo search algorithm.