An efficient algorithm for dynamic shortest path tree update in network routing

2007 ◽  
Vol 9 (4) ◽  
pp. 499-510 ◽  
Author(s):  
Bin Xiao ◽  
Jiannong Cao ◽  
Zili Shao ◽  
Edwin H.-M. Sha
2021 ◽  
Vol 100 ◽  
pp. 104187 ◽  
Author(s):  
Huynh Thi Thanh Binh ◽  
Ta Bao Thang ◽  
Nguyen Duc Thai ◽  
Pham Dinh Thanh

2009 ◽  
Vol 58 (4) ◽  
pp. 541-557 ◽  
Author(s):  
E.P.F. Chan ◽  
Yaya Yang

Author(s):  
Annalisa D’Andrea ◽  
Mattia D’Emidio ◽  
Daniele Frigioni ◽  
Stefano Leucci ◽  
Guido Proietti

2019 ◽  
Vol 38 (1) ◽  
pp. 165-184 ◽  
Author(s):  
Mattia D’Emidio ◽  
Luca Forlizzi ◽  
Daniele Frigioni ◽  
Stefano Leucci ◽  
Guido Proietti

2019 ◽  
Vol 132 ◽  
pp. 299-309
Author(s):  
Christian Glacet ◽  
Nicolas Hanusse ◽  
David Ilcinkas ◽  
Colette Johnen

Author(s):  
Rahul M Desai ◽  
B P Patil

<p class="Default">In this paper, prioritized sweeping confidence based dual reinforcement learning based adaptive network routing is investigated. Shortest Path routing is always not suitable for any wireless mobile network as in high traffic conditions, shortest path will always select the shortest path which is in terms of number of hops, between source and destination thus generating more congestion. In prioritized sweeping reinforcement learning method, optimization is carried out over confidence based dual reinforcement routing on mobile ad hoc network and path is selected based on the actual traffic present on the network at real time. Thus they guarantee the least delivery time to reach the packets to the destination. Analysis is done on 50 Nodes Mobile ad hoc networks with random mobility. Various performance parameters such as Interval and number of nodes are used for judging the network. Packet delivery ratio, dropping ratio and delay shows optimum results using the prioritized sweeping reinforcement learning method.</p>


2019 ◽  
Vol 74 (3) ◽  
pp. 851-893
Author(s):  
P. Festa ◽  
F. Guerriero ◽  
A. Napoletano

2015 ◽  
Vol 20 ◽  
pp. 1-33 ◽  
Author(s):  
Annalisa D'Andrea ◽  
Mattia D'Emidio ◽  
Daniele Frigioni ◽  
Stefano Leucci ◽  
Guido Proietti

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