TY - GEN
T1 - Traffic management of a satellite communication network using mean field annealing
AU - Arulambalam, Ambalavanar
AU - Ansari, Nirwan
PY - 1994
Y1 - 1994
N2 - The performance of non-hierarchical circuit switched networks at moderate load conditions is improved when alternate routes are made available. However, alternate routes introduce instability under heavy and overloaded conditions, and under these load conditions network performance is found to deteriorate. To alleviate this problem, a control mechanism that reserves a fraction of the capacity of each link for direct routed calls is used. In this paper, a traffic management scheme is developed to enhance the performance of a mesh-connected, circuit-switched satellite communication network. The network load is measured and the network is continually adapted by reconfiguring the map to suit the current traffic conditions. The reconfiguration of the network is done by properly allocating the capacity of each link and placing an optimal reservation on each link. The optimization is done by using a neural network-based optimization technique called mean field annealing. The simulation results show that this method of traffic management performs better than pure dynamic routing with a fixed configuration.
AB - The performance of non-hierarchical circuit switched networks at moderate load conditions is improved when alternate routes are made available. However, alternate routes introduce instability under heavy and overloaded conditions, and under these load conditions network performance is found to deteriorate. To alleviate this problem, a control mechanism that reserves a fraction of the capacity of each link for direct routed calls is used. In this paper, a traffic management scheme is developed to enhance the performance of a mesh-connected, circuit-switched satellite communication network. The network load is measured and the network is continually adapted by reconfiguring the map to suit the current traffic conditions. The reconfiguration of the network is done by properly allocating the capacity of each link and placing an optimal reservation on each link. The optimization is done by using a neural network-based optimization technique called mean field annealing. The simulation results show that this method of traffic management performs better than pure dynamic routing with a fixed configuration.
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U2 - 10.1109/icnn.1994.374911
DO - 10.1109/icnn.1994.374911
M3 - Conference contribution
AN - SCOPUS:0028713340
SN - 078031901X
T3 - IEEE International Conference on Neural Networks - Conference Proceedings
SP - 3577
EP - 3582
BT - IEEE International Conference on Neural Networks - Conference Proceedings
PB - IEEE
T2 - Proceedings of the 1994 IEEE International Conference on Neural Networks. Part 1 (of 7)
Y2 - 27 June 1994 through 29 June 1994
ER -