The cognitive packet network: A survey

Computer Journal

Volumn 53, Issue 3, 2010, Pages 268-279

  Sakellari, Georgia ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Cognitive packet networks; Quality of service; Random neural network; Routing protocol; Self aware networks

Indexed keywords

BEST-EFFORT; COGNITIVE PACKET NETWORKS; EXPERIMENTAL PERFORMANCE EVALUATIONS; MULTIMEDIA NETWORKS; QOS MEASUREMENT; QUALITY OF SERVICE CONSTRAINTS; RANDOM NEURAL NETWORK;

INTERCONNECTION NETWORKS; INTERNET PROTOCOLS; PACKET NETWORKS; QUALITY CONTROL; QUALITY OF SERVICE; ROUTING PROTOCOLS; SURVEYS;

NEURAL NETWORKS;

EID: 77649321712     PISSN: 00104620     EISSN: 14602067     Source Type: Journal    
DOI: 10.1093/comjnl/bxp053     Document Type: Article

References (77)

1. Gelenbe, E., Xu, Z. and Seref, E. (1999) Cognitive Packet Networks. Proc. 11th Int. Conf. Tools with Artificial Intelligence (ICTAI'99), Chicago, IL, USA, 8-10 November, pp. 47-54. IEEE Computer Society Press,Washington, DC, USA.
2. Gelenbe, E., Seref, E. and Xu, Z. (2001) Simulation with learning agents. Proc. IEEE, 89, 148-157.
3. Gelenbe, E., Lent, R., Montuori, A. and Xu, Z. (2000) Towards Networks with Cognitive Packets. Proc. 8th Int. Symp. Modeling, Analysis and Simulation of Computer and Telecommunication Systems (IEEE MASCOTS), San Francisco, CA, USA, August 29-September 1, pp. 3-12. IEEE Computer Society Press, Washington, DC, USA. Opening Invited Paper.
4. Gelenbe, E., Lent, R. and Xu, Z. (2001) Design and performance of cognitive packet networks. Perform. Eval., 46, 155-176.
5. Gelenbe, E., Lent, R., Montuori, A. and Xu, Z. (2002) Cognitive Packet Networks: QoS and Performance. Proc. 10th IEEE Int. Symp. Modeling, Analysis, and Simulation of Computer and Telecommunications Systems (MASCOTS'02), FortWorth,Texas, USA, October 11-16, pp. 3-9. IEEE Computer Society, Los Alamitos, CA, USA. Opening Keynote Paper.
6. Gelenbe, E., Gellman, M., Lent, R., Liu, P. and Su, P. (2004) Autonomous Smart Routing for Network QoS. Proc. First Int. Conf. Autonomic Computing (ICAC), NewYork, NY, USA, May 17-18, pp. 232-239. IEEE Computer Society Press,Washington, DC, USA.
7. Gelenbe, E. (2004) Cognitive Packet Network. US Patent 6804201 B1.
8. Su, P. and Gellman, M. (2004) Using adaptive routing to achieve quality of service. Perform. Eval., 57, 105-119.
9. Gelenbe, E. (1989) Random neural networks with negative and positive signals and product form solution. Neural Comput., 1, 502-510.
10. Gelenbe, E. (1993) Learning in the recurrent random neural network. Neural Comput., 5, 154-164.
11. Gelenbe, E. (1990) Stability of the random neural network model. Neural Comput., 2, 239-247.
12. Gelenbe, E. and Stafylopatis, A. (1991) Global behavior of homogeneous random neural systems. Appl. Math. Model., 15, 534-541.
13. Gelenbe, E. and Fourneau, J. M. (1999) Random neural networks with multiple classes of signals. Neural Comput., 11, 953-963.
14. Gelenbe, E. and Hussain, K. (2002) Learning in the multiple class random neural network. IEEE Trans. Neural Netw., 13, 1257-1267.
15. Gelenbe, E. and Timotheou, S. (2008) Random neural networks with synchronised interactions. Neural Comput., 20, 2308-2324.
16. Gelenbe, E., Stafylopatis, A. and Likas, A. (1991) An extended Random Network Model with Associative Memory Capabilities. Proc. Int. Conf. Artificial Neural Networks (ICANN'91), Helsinki, Finland, June 24-28, pp. 307-312. Elsevier, Amsterdam, The Netherlands.
17. Likas, A. and Stafylopatis, A. (1996) High capacity associative memory based on the random neural network model. Int. J. Pattern Recognit. Artif. Intell., 10, 919-937.
18. Stafylopatis, A. and Likas, A. (1992) A pictorial information retrieval using the random neural network. IEEE Transactions on Software Engineering, 18, 590-600.
19. Cramer, C., Gelenbe, E. and Gelenbe, P. (1998) Image and video compression. IEEE Potentials, 17, 29-33.
20. Bakircioglu, H., Gelenbe, E. and Koçak, T. (1998) Image enhancement and fusion with the Random Neural Network model. Elektrik, 5, 65-77.
21. Gelenbe, E., Bakircioglu, H. and Koçak, T. (1997) Image Processing with the Random Neural Network (RNN). Proc. 13th Int. Conf. Digital Signal Processing, Santorini, Greece, July 2-4, pp. 243-248. SPIE, San Jose, CA, USA.
22. Atalay, V. and Gelenbe, E. (1992) Parallel algorithm for colour texture generation using the random neural network model. Int. J. Pattern Recognit. Artif. Intell., 6, 437-446.
23. Atalay,V., Gelenbe, E. andYalabik, N. (1992) The random neural network model for texture generation. Int. J. Pattern Recognit. Artif. Intell., 6, 131-141.
24. Gelenbe, E., Cramer, C., Sungur, M. and Gelenbe, P. (1996) Traffic and video quality in adaptive neural compression. Multimedia Syst., 4, 357-369.
25. Cramer, C., Gelenbe, E. and Bakircloglu, H. (1996) Low bitrate video compression with neural networks and temporal subsampling. Proc. IEEE, 84, 1529-1543.
26. Feng, Y. and Gelenbe, E. (1998) Adaptive object tracking and video compression. Netw. Inform. Syst., 1, 371-400.
27. Cramer, C. and Gelenbe, E. (2000)Video quality and traffic QoS in learning-based subsampled and receiver-interpolated video sequences. IEEE J. Sel. Areas Commun., 18, 150-167.
28. Bakircioglu, H., Gelenbe, E. and Koçak, T. (1997) Image enhancement and fusion with the random neural network. Elektrik, 5, 65-77.
29. Mohamed, S. and Rubino, G. (2002)A study of real-time packet video quality using random neural networks. IEEETrans. Circuits Syst. Video Technol., 12, 1071-1083.
30. Aguilar, J. and Gelenbe, E. (1997) Task assignment and transaction clustering heuristics for distributed systems. Inf. Sci., 97, 199-219.
31. Gelenbe, E. and Shachnai, H. (2000) On G-networks and resource allocation in multimedia systems. Eur. J. Oper. Res., 126, 308-318.
32. Gelenbe, E. (1994) G-networks: a unifying model for queuing networks and neural networks. Ann. Oper. Res., 48, 433-461.
33. Fourneau, J., Gelenbe, E. and Suros, R. (1996) G-networks with multiple classes of positive and negative customers. Theoret. Comput. Sci., 155, 141-156.
34. Gelenbe, E. and Labed, A. (1998) G-networks with multiple classes of signals and positive customers. Eur. J. Oper. Res., 108, 293-305.
35. Gelenbe, E. (2000) The first decade of G-networks. Eur. J. Oper. Res., 126, 231-232.
36. Gelenbe, E. and Fourneau, J. M. (2002) G-networks with resets. Perform. Eval., 49, 179-191.
37. Gelenbe, E. and Cao, Y. (1998) Autonomous search for mines. Eur. J. Oper. Res., 108, 319-333.
38. Gelenbe, E., Hussain, K. and Kaptan, V. (2005) Simulating autonomous agents in augmented reality. J. Syst. Softw., 74, 255-268.
39. Halici, U. (2000) Reinforcement learning with internal expectation for the random neural network. Eur. J. Oper. Res., 126, 288-307.
40. Gelenbe, E., Liu, P. and Laine, J. (2006) Genetic Algorithms for Autonomic Route Discovery. Proc. IEEE Workshop on Distributed Intelligent Systems: Collective Intelligence and Its Applications (DIS'06), Prague, Czech Republic, June 15-16, pp. 371-376. IEEE Computer Society, Los Alamitos, CA, USA. (Pubitemid 44889133)
41. Gellman, M. (2007) Quality of service routing for real-time traffic. PhD Thesis, Imperial College London, London, UK.
42. Gelenbe, E. and Lent, R. (2004) Power-aware ad hoc cognitive packet networks. Ad Hoc Netw. J., 2, 205-216.
43. Lent, R. (2007) Linear QoS goals of additive and concave metrics in ad hoc cognitive packet routing. IEEE Trans. Syst. Man Cybern., 36, 255-260.
44. Lent, R. (2005) Smart Packet-Based Selection of Reliable Paths in Ad Hoc Networks. Proc. 5th Int. Workshop on the Design of Reliable Communication Networks (DRCN 2005), Island of Ischia, Naples, Italy, October 16-19, pp. 497-501. IEEE, Piscataway, NJ, USA.
45. Gelenbe, E. and Nunez, A. (2003) Traffic engineering with cognitive packet networks. Simul. Ser., 35, 514-518.
46. Koçak, T., Seeber, J. and Terzioglu, H. (2003) Design and implementation of a random neural network routing engine. IEEE Trans. Neural Netw., 14, 1128-1143.
47. Hey, L., Cheung, P. and Gellman, M. (2005) FPGA Based Router for Cognitive Packet Networks. Proc. IEEE Int. Conf. Field-Programmable Technology, Kent Ridge, Singapore, December 11-14, pp. 331-332. IEEE, Piscataway, NJ, USA.
48. Hey, L. (2008) Reduced complexity algorithms for cognitive packet network routers. Comput. Commun., 31, 3822-3830.
49. Gelenbe, E. (2003) Sensible decisions based on QoS. Comput. Manage. Sci., 1, 1-14.
50. Hey, L. (2008) Power Aware Smart Routing in Wireless Sensor Networks. Proc. Conf. Next Generation Internet Networks (NGI 2008), Krakow, Poland, April 28-30, pp. 195-202. IEEE, Piscataway, NJ, USA.
51. Gelenbe, E., Gellman, M. and Loukas, G. (2005) An Autonomic Approach to Denial of Service Defence. Proc. Sixth IEEE Int. Symp. World of Wireless Mobile and Multimedia Networks (WoWMoM 2005), Taormina, Italy, June 13-16, pp. 537-541. IEEE Computer Society,Washington, DC, USA.
52. Gelenbe, E. and Loukas, G. (2007) A Self-aware approach to denial of service defence. Comput. Netw., 51, 1299-1314.
53. Oke, G. and Loukas, G. (2008) Distributed Defence Against Denial of Service Attacks: A Practical View. Proc. 1st BCS Int. Academic Conf., Visions of Computer Science, London, UK, September 22-24, pp. 153-162. The British Computer Society, Swindon, UK.
54. Oke, G. and Loukas, G. (2007) A denial of service detector based on maximum likelihood detection and the random neural network. Comput. J., 50, 717-727.
55. Oke, G., Loukas, G. and Gelenbe, E. (2007) Detecting Denial of ServiceAttacks with Bayesian Classifiers and the Random Neural Network. Proc. IEEE Int. Fuzzy Systems Conf. (FUZZ-IEEE 2007), London, UK, July 23-26, pp. 1-6. IEEE, Los Alamitos, CA, USA.
56. Loukas, G. and Oke, G. (2007) Likelihood Ratios and Recurrent Random Neural Networks in Detection of Denial of Service Attacks. Proc. Int. Symp. Performance Evaluation of Computer and Telecommunication Systems (SPECTS 2007), San Diego, CA, USA, July 16-18, pp. 16-18. Simulation Councils Inc., San Diego, CA, USA.
57. Gellman, M. and Liu, P. (2006) Random Neural Networks for the Adaptive Control of Packet Networks. Proc. 16th Int. Conf. Artificial Neural Networks (ICANN 2006), Athens, Greece, September 10-14, pp. 313-320. Springer, Berlin, Heidelberg, Germany.
58. Liu, P. and Gelenbe, E. (2007) Recursive Routing in the Cognitive Packet Network. Proc. 3rd Int. Conf. Testbeds and Research Infrastructures for the Development of Networks and Communities (TridentCom), Orlando, FL, USA, May 21-23, pp. 1-6. IEEE, Piscataway, NJ, USA.
59. Sakellari, G., D'Arienzo, M. and Gelenbe, E. (2006) Admission Control in Self Aware Networks. Proc. 49th Annual IEEE Global Telecommunications Conf. (GLOBECOM 2006), San Francisco, CA, USA, November 27-December 1, pp. 1-5. IEEE, Piscataway, NJ, USA.
60. Gelenbe, E., Sakellari, G. and D'Arienzo, M. (2008) Admission of QoS aware users in a smart network.ACMTrans.Auton. Adapt. Syst., 3, 4:1-4:28.
61. Warshall, S. (1962) A theorem on Boolean matrices. J. ACM, 9, 11-12.
62. Sakellari, G. and Gelenbe, E. (2008) A Multiple Criteria, Measurement-Based Admission Control for Self-Aware Networks. Proc. Third Int. Conf. Communications and Networking in China (CHINACOM'08), Hangzhou, China, August 25-27, pp. 1060-1064. IEEE, Piscataway, NJ, USA.
63. Gelenbe, E., Lent, R., Di Ferdinando, A. and Manzalini, A. (2006) Distributed Auctions in Autonomic Communication Services. Proc. Second IEEE ComSoc/CreateNet Int. Workshop on Guaranteed Optical Service Provisioning (GOSP 2006), San Jose, CA, USA, October 1-5, pp. 1-6. IEEE, Piscataway, NJ, USA.
64. Di Ferdinando, A., Lent, R. and Gelenbe, E. (2007)A Framework for Autonomic Networked Auctions. Proc. 1st Int. Conf. Autonomic Computing and Communication Systems, Workshop on Innovative Service Technologies (INSERTech '07), Rome, Italy, 28-30 October, pp. 1-10. ICST, Brussels, Belgium
65. Gelenbe, E. (2009) Analysis of single and networked auctions. ACM Trans. Internet Technol., 9, 1-24.
66. Gelenbe, E. (2006) Analysis of Automated Auctions. Proc. 21th Int. Symp. Computer and Information Sciences (ISCIS' 06), Lecture Notes in Computer Science, Istanbul, Turkey, November 1-3, pp. 1-12. Springer, Berlin, Heidelberg, Germany.
67. Di Ferdinando,A., Rosi,A., Zambonelli, F., Lent, R. and Gelenbe, E. (2008) A Platform For Pervasive Combinatorial TradingWith Opportunistic Self-Aggregation. Proc. Second IEEE WoWMoM Workshop on Autonomic and Opportunistic Communications (AOC 2008), Newport Beach, CA, USA, June 23-26, pp. 1-6. IEEE, Piscataway, NJ, USA.
68. Gelenbe, E., Lent, R., Di Ferdinando, A. and Manzalini, A. (2006) An Autonomic Networked Auction System. Proc. Int. Conf. Self-Organization and Autonomous Systems in Computing and Communications (SOAS 2006), Erfusr, Germany, 18-21 September, pp. 1-14.
69. Ghanea-Hercock, R., Gelenbe, E., Jennings, N.R., Smith, O., Allsopp, D.N., Healing, A., Duman, H., Sparks, S., Karunatillake, N.C. and Vytelingum, P. (2007) Hyperion-next-generation battlespace information services. Comput. J., 50, 632-645.
70. Gelenbe, E., Lent, R. and Xu, Z. (2001) Measurement and performance of a cognitive packet network. Comput. Netw., 37, 691-701.
71. Gelenbe, E., Lent, R. and Nunez, A. (2004) Self-aware networks and QoS. Proc. IEEE, 92, 1478-1489.
72. Gelenbe, E. and Liu, P. (2005) QoS and Routing in the Cognitive Packet Network. Proc. First Int. IEEE WoWMoM Workshop on Autonomic Communications and Computing (ACC'05), Taormina, Italy, June 13-16, pp. 517-521. IEEE Computer Society,Washington, DC, USA.
73. Lent, R. and Liu, P. (2005) Searching for Low Latency Routes in CPN with Reduced Packet Overhead. Proc. ISCIS 2005, Advances in Computer Science and Engineering Series, Istanbul, Turkey, October 26-28, pp. 63-72. Imperial College Press, London, UK.
74. Sakellari, G. and Gelenbe, E. (2009) Adaptive Resilience of the Cognitive Packet Network in the presence of Network Worms. Proc. NATO Symp. C3I for Crisis, Emergency and Consequence Management, Bucharest, Romania, May 11-12.
75. Gellman, M. (2008) Oscillations in self-aware networks. Proc. R. Soc., 464, 2169-2185.
76. Gelenbe, E. and Gellman, M. (2007) Oscillations in a Bio-Inspired RoutingAlgorithm. Proc. IEEE Int. Conf. Mobile Ad hoc and Sensor Systems (MASS 2007), BIONETWORKS Workshop, Pisa, Italy, October 8-11, pp. 1-7. IEEE Computer Society, Washington, DC, USA.
77. Gelenbe, E. (2006) Users and services in intelligent networks. IET Proc. Intell. Transp. Syst., 153, 213-220