Title :
Adaptive-SDR: adaptive swarm-based distributed routing
Author :
Kassabalidis, I. ; El-Sharkawi, M.A. ; Marks, R.J., II ; Arabshahi, P. ; Gray, A.A.
Author_Institution :
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
fDate :
6/24/1905 12:00:00 AM
Abstract :
Swarm intelligence forms the core of a new class of algorithms inspired by the social behavior of insects that live in swarms. Its attractive features include adaptation, robustness and a distributed, decentralized nature, rendering swarm-based algorithms well-suited for routing in wireless or satellite networks, where it is difficult it implement centralized network control. We propose one such routing algorithm, dubbed adaptive swarm-based distributed routing (adaptive-SDR), which is scalable, robust and suitable to handle large amounts of network traffic, while minimizing delay and packet loss
Keywords :
adaptive systems; delays; distributed control; packet radio networks; radio access networks; robust control; satellite communication; telecommunication control; telecommunication network routing; adaptive swarm-based distributed routing; adaptive-SDR; delay minimization; distributed decentralized intelligence; insects; packet loss minimization; robustness; satellite network routing; social behavior; swarm intelligence; wireless network routing; Centralized control; Clustering algorithms; Communication system control; Insects; Particle swarm optimization; Robust control; Routing; Satellites; Scalability; Telecommunication traffic;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005496
