A Neural Network Model for Evaluating Mobile Ad Hoc Wireless Network Survivability

Author(s):  
Tong Wang ◽  
ChuanHe Huang
Author(s):  
Mohit Ranjan Panda ◽  
Manas Ranjan Mishra

An ad hoc network is a collection of wireless mobile hosts forming a temporary network without the aid of any centralized administration or standard support services. However flows transported across mobile ad hoc wireless networks suffer from route breakups caused by nodal mobility. In a network that aims to support critical interactive real-time data transactions, to provide for the uninterrupted execution of a transaction, or for the rapid transport of a high value file, it is essential to identify stable routes across which such transactions are transported. Noting that route failures can induce long re-routing delays that may be highly interruptive for many applications and message/stream transactions, it is beneficial to configure the routing scheme to send a flow across a route whose lifetime is longer, with sufficiently high probability, than the estimated duration of the activity that it is selected to carry. We evaluate the ability of a mobile ad hoc wireless network to distribute flows across routes which is sufficiently stable for successful transmission. As a special case, for certain applications only transactions that are completed without being prematurely interrupted may convey data to their intended users that is of acceptable utility. We describe the mathematical calculation of a network’s stable throughput measure, as well as its stable throughput capacity. We proposed the stable throughput and flow admission control routing algorithm (SFAR) to provide for the timely and stable transport of flow transactions across mobile ad hoc wireless network systems.


IET Networks ◽  
2014 ◽  
Vol 3 (4) ◽  
pp. 245-251 ◽  
Author(s):  
Lawal Bello ◽  
Panos Bakalis ◽  
Predrag Rapajic ◽  
Kwashie A. Anang

2011 ◽  
Vol 6 (7) ◽  
Author(s):  
Lawal Bello ◽  
Panos Bakalis ◽  
Predrag Rapajic ◽  
Kwashie A. Anang ◽  
Titus I. Eneh

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