Open Access Open Access  Restricted Access Subscription Access

Controlling Access To Conserve Qos In Autonomous Network Using Network Simulator

Rk Parikshit Kumar, Ankhit N, Sachin S Kamat


Continuous applications made a requirement for system Quality of Service (QoS). This significance prompted the improvement of self-sufficient systems that utilization versatile bundle directing with the end goal to give the most ideal QoS. Affirmation Control (AC) is a system which makes those systems a pace further in ensuring bundle conveyance even under strict QoS imperatives. QoS all through the time of every single acknowledged association in the system. The effect that the new call will have, on the QoS of both the new and the current clients, is assessed by sending test parcels and checking the systems. The choice of whether to acknowledge another call is made utilizing a novel math of QoS measurements, encourage by Warshall's calculation, which searches for a way with adequate QoS values that can oblige the new stream. The fundamental scientific standards and present trial results acquired by assessing the strategy in an expansive research center proving ground working the Self-Aware Cognitive Packet Network (CPN) convention.

Full Text:



G. Bianchi, A. Capone, and C. Petrioli. Throughput analysis of end-to-end measurement-based admission control in IP. In Proceedings of IEEE INFOCOM 2000, pages 1461–1470, Tel Aviv, Israel, Mar. 2000. IEEE.

L. Breslau, E. W. Knightly, S. Shenker, I. Stoica, and H. Zhang. Endpoint admission control: Architectural issues and performance. In Proceedings of ACM SIGCOMM 2000, pages 57–70, Stockholm, Sweden, Oct. 2000. Acm.

Introduction to Network Simulator NS2, Second edition,2009 Authors: Issariyakul, Teerawat, Hossain, Ekram

V. Elek, G. Karlsson, and R. Ronngren. Admission control based on end-to-end measurements. In Proceedings of IEEE INFOCOM 2000, volume 2, pages 623–630, Tel Aviv, Israel, Mar. 2000.

R. W. Floyd. Algorithm 97: Shortest path. Communications of ACM, 5(6):345, June 1962.

S. Floyd. Comments on measurement-based admissions control for controlled-load services. Submitted to Computer Communication Review, July 1996.

A. J. Ganesh, P. Key, D. Polis, and R.Srikant. Congestion notification and probing mechanisms for endpoint admission control. IEEE/ACM Transactions on Networking, 14(3):568–578, June 2005.

E. Gelenbe. Learning in the recurrent random neural network. Neural Computation, 5(1):154–164, Jan. 1993.

E. Gelenbe, M. Gellman, R. Lent, P. Liu, and P. Su. Autonomous smart routing for network qos. In Proceedings of the First International Conference on Autonomic Computing (ICAC), pages 232– 239, New York, NY, USA, May 2004.

E. Gelenbe, M. Gellman, and P. Su. Self-awareness and adaptivity for quality of service.In A. Tantawy and K. Inan, editors, Proceedings of the IEEE International Symposium on Computers and Communications (ISCC’03), pages 3– 9, Kemer-Antalya, Turkey, June/July 2003.IEEE Computer Society. Invited Paper.

E. Gelenbe, R. Lent, A. Montuori, and Z. Xu. Towards networks with cognitive packets. In Proceedings of the International Conference on Performance and QoS of Next Generation Networking, pages 3–17, Nagoya, Japan, Nov. 2000. Opening Invited Paper.

E. Gelenbe, R. Lent, A. Montuori, and Z. Xu. Cognitive packet networks: QoS and performance. In Proceedings of the 10th IEEE International Symposium on Modeling, Analysis, and Simulation ofComputer and Telecommunications Systems (MASCOTS’02), pages 3–12, Fort Worth, TX, Oct. 2002. IEEE Computer Society. Opening Keynote Paper.

E. Gelenbe, R. Lent, and A. Nunez. Self-aware networks and QoS. Proceedings of the IEEE, 92(9):1478–1489, Sep. 2004.

E. Gelenbe, R. Lent, and Z. Xu. Design and performance of cognitive packet networks. Performance Evaluation, 46(2- 3):155–176, Oct. 2001.

E. Gelenbe, R. Lent, and Z. Xu. Measurement and performance of a cognitive packet network. Computer Networks, 37(6):691–701, Dec. 2001.


  • There are currently no refbacks.