I. Kassabalidis, M. A. El-Sharkawi, R. J. Marks II, P. Arabshahi and A. A. Gray, "Swarm Intelligence for Routing in Communication Networks", in Proceedings of IEEE Globecom 2001. Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
Determining possible avenues of approach using ANTS - Svenson, Sidenbladh (2003) (1 citation) (Correct)
....agent system. It is similar to other models for swarm intelligence and crowd behavior (e.g. 8, 9] It was first used by Dorigo (e.g. 4] to solve the traveling salesperson problem and has later been used for solving problems ranging from graph coloring [10] to routing and load balancing [11, 12]. The method shares a number of conceptual features with models for describing complex behavior such as Braitenberg vehicles [13] or Langton s vant [14] ANTS is very similar to random walk or diffusion based methods for solving optimization problems, but adds interaction between the walkers to ....
I. Kassabalidis, M. A. El-Sharkawi, R. J. Marks II, P. Arabshahi, and A. A. Gray. Swarm intelligence for routing in communication networks. In IEEE Globecom, 2001.
Adaptive-SDR: Adaptive Swarm-based Distributed Routing - Kassabalidis El-Sharkawi.. Self-citation (Kassabalidis El-sharkawi Arabshahi Gray) (Correct)
....of behavior far more complex than expected by such simple organisms. There already exist many successful adaptations of ant behavior to network control [1 11] with the most prominent being AntNet [2,3] and Ant based Control (ABC) 4] An overview of swarm based algorithms can be found in [12]. The application of AntNet to a satellite network is discussed in [13] These and the other existing algorithms lack a number of important features, namely scalability, full utilization of the network capacity, routing oscillations, and routing loops. We propose an algorithm called Adaptive ....
I. Kassabalidis, M.A. El-Sharkawi, R.J. Marks II, P. Arabshahi, and A.A. Gray, "Swarm intelligence for routing in communication networks," IEEE Globecom 2001.
Self-organized Autonomous Web Proxies - Kaiser, Tsui, Liu (2002) Self-citation (Markus) (Correct)
....did not consider the cached data. The logical next step, which we present in this paper, is to place a decision making component into every proxy component (autonomous proxy) The new idea is based on the assumption that after a learning phase, the autonomous proxy will selforganize [23] 26] [3] themselves in such a way that similar unresolved requests will be forwarded to the same devoted and ideal proxy. 1.4 The proposed Approach In real life a self organizing proxy architecture based on autonomous proxies can be compared to a simple market buyerseller environment where the buyer ....
I. Kassabalidis, M.A. El-Sharkawi, R.J.Markus II, P. Arabshahi, A.A. Gray, Swarm Intelligence for Routing in Communication Networks,
A Probabilistic Emergent Routing Algorithm for Mobile Ad Hoc.. - Baras, Mehta (2003) (2 citations) (Correct)
No context found.
I. Kassabalidis, M. A. El-Sharkawi, R. J. Marks II, P. Arabshahi and A. A. Gray, "Swarm Intelligence for Routing in Communication Networks", in Proceedings of IEEE Globecom 2001.
Determining possible avenues of approach using ANTS Pontus.. - Department Of Data (Correct)
No context found.
I. Kassabalidis, M. A. El-Sharkawi, R. J. Marks II, P. Arabshahi, and A. A. Gray. Swarm intelligence for routing in communication networks. In IEEE Globecom, 2001.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC