Sensor and actor networks are used to monitor and control pipeline infrastructures. This paper discusses and compares different sensor and actor network architectures for water, gas, and oil pipeline infrastructures monitoring. These architectures are wired networks, wireless networks, separated wired and wireless networks, and integrated wired and wireless networks. The paper also discusses th...

One of the major problems facing e-commerce, e-government and Internet users, in general, is the reliability of data transfers across the network. The installation of optical networks has certainly helped to increase the speed and reliability of data communication but network survivability still remains a challenge. Imagine what would happen in the banking sector if transactions cannot be proce...

Substantial work has applied stochastic techniques to network reliability models. These techniques can estimate risk, variance and uncertainty values. Unfortunately, these models do not address the issues of revenues, return on investment, or the time-value of money. To address these issues, we have developed an Economic Reliability Analysis [ERA] framework at the University of Virginia that fu...

In the network design process, one goal is to select a network topology which is highly reliable. Although there is no universally accepted measure of reliability, the most widely used definition is a probabilistic one. The network is modelled as a probabilistic graph G = (V ,E) , in which V is a set of nodes representing sites in the network, and E is a collection of undirected edges represent...

in this research, a two-phase algorithm based on the artificial neural network (ann) and a harmony search (hs) algorithm has been developed with the aim of assessing the reliability of structures with implicit limit state functions. the proposed method involves the generation of datasets to be used specifically for training by finite element analysis, to establish an ann model using a proven an...

This paper analyzes the formation of communication networks when players choose endogenously their investment on communication links. We consider two alternative de…nitions of network reliability; product reliability, where the decay of information depends on the product of the strength of communication links, and min reliability where the speed of connection is a¤ected by the weakest communica...

Software Reliability is a key concern of many users and developers of softwares. Demand for high software reliability requires robust modeling techniques for software quality prediction. This paper presents a new approach to software reliability assessment by using neural network. The neural network model has been applied to three different applications and normalized root mean of the square of...