TY - JOUR
T1 - Traffic management of a satellite communication network using stochastic optimization
AU - Ansari, Nirwan
AU - Arulambalam, Ambalavanar
AU - Balasekar, Santhalingam
N1 - Funding Information:
Manuscnpt received June 5, 1994; revised January 29, 1995 and April 20, 1995 This work was supported in part by the NASA Lewis Research Center, Cleveland, OH, Contract NAG3-1244. The authors are with the Department of Electrical and Computer Engineering, Center for Communications and Signal Processing Research, New Jersey Institute of Technology, Newark, NJ 07102 USA. Publisher Item Identifier S 1045-9227(96)02872-X.
PY - 1996
Y1 - 1996
N2 - The performance of nonhierachical circuit switched networks at moderate load conditions is improved when alternate routes are made available. Alternate routes, however, 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 is used where, a fraction of the capacity of each link is reserved for direct routed calls. In this work, 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 routing is performed dynamically. 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 two neural network-based optimization techniques: simulated annealing and mean field annealing. A comparative study is done between these two techniques. The results from the simulation study show that this method of traffic management performs better than the pure dynamic routing with a fixed configuration.
AB - The performance of nonhierachical circuit switched networks at moderate load conditions is improved when alternate routes are made available. Alternate routes, however, 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 is used where, a fraction of the capacity of each link is reserved for direct routed calls. In this work, 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 routing is performed dynamically. 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 two neural network-based optimization techniques: simulated annealing and mean field annealing. A comparative study is done between these two techniques. The results from the simulation study show that this method of traffic management performs better than the pure dynamic routing with a fixed configuration.
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U2 - 10.1109/72.501729
DO - 10.1109/72.501729
M3 - Article
C2 - 18263468
AN - SCOPUS:0030142031
SN - 1045-9227
VL - 7
SP - 732
EP - 744
JO - IEEE Transactions on Neural Networks
JF - IEEE Transactions on Neural Networks
IS - 3
ER -