Assessing the Reliability of Communication Networks Through Maghine Learning Techniques
نویسندگان
چکیده
The reliability of communication networks is assessed by employing two machine learning algorithms, Support Vector Machines (SVM) and Hamming Clustering (HC), acting on a subset of possible system configurations, generated by a Monte Carlo simulation and an appropriate Evaluation Function. The experiments performed with two different reliability measures show that both methods yield excellent predictions, though the performances of models generated by HC are significantly better than those of SVM.
منابع مشابه
Quasi Random Deployment Strategy for Reliable Communication Backbones in Wireless Sensor Networks
Topology construction and topology maintenance are significant sub-problems of topology control. Spanning tree based algorithms for topology control are basically transmission range based type construction algorithms. The construction of an effective backbone, however, is indirectly related to the placement of nodes. Also, the dependence of network reliability on the communication path undertak...
متن کاملMulticast Routing in Wireless Sensor Networks: A Distributed Reinforcement Learning Approach
Wireless Sensor Networks (WSNs) are consist of independent distributed sensors with storing, processing, sensing and communication capabilities to monitor physical or environmental conditions. There are number of challenges in WSNs because of limitation of battery power, communications, computation and storage space. In the recent years, computational intelligence approaches such as evolutionar...
متن کاملBibliometric Networks on Analyze Flipped Learning Research
Aim: The purpose is to provide a comprehensive overview of the current state of research in the field of flipped learning and classroom. It is a science metrics attempt to extract and analyze bibliographic networks based on the international scientific indexing (ISI) Methodology: Systematic search technique was applied: A set of scientific productions indexed in the field of flipped learning an...
متن کاملInvestigating the Impact of Virtual Social Networks on Social Capital and Organizational Learning Capabilities with the Mediating Role of Helpful Activities
Introduction: The main topic of this research is to Investigating the Impact of Virtual Social Networks on Social Capital and Organizational Learning Capabilities with the Mediating Role of Helpful Activities. An important feature of social networks is that it has become a place to share knowledge, which in turn contributes to the quantitative and qualitative improvement of social capital. Thus...
متن کاملInvestigating the Impact of Virtual Social Networks on Social Capital and Organizational Learning Capabilities with the Mediating Role of Helpful Activities
Introduction: The main topic of this research is to Investigating the Impact of Virtual Social Networks on Social Capital and Organizational Learning Capabilities with the Mediating Role of Helpful Activities. An important feature of social networks is that it has become a place to share knowledge, which in turn contributes to the quantitative and qualitative improvement of social capital. Thus...
متن کامل