BACKGROUND Network scale-up is an indirect method for estimating the size of hidden, hard-to-count or high risk populations. Social network size estimation is the first step in this method. The present study was conducted with the purpose of estimating the social network size of the Tehran Province residents and its determinants. METHODS Maximum Likelihood Estimation was applied to estimate p...

The exponential rise in wireless communication demands and allied applications have revitalized academia-industries to develop more efficient routing protocols. Wireless Sensor Network (WSN) being battery operated network, it often undergoes node death-causing pre-ma...

We are living in the big data era, as current technologies and networks allow for the easy and routine collection of data sets in different disciplines. Bayesian Statistics offers a flexible modeling approach which is attractive for describing the complexity of these datasets. These models often exhibit a likelihood function which is intractable due to the large sample size, high number of para...

We investigate a new class of authenticate codes (A-codes) that support verification by a group of message recipients in the network coding setting. That is, a sender generates an A-code over a message such that any intermediate node or recipient can check the authenticity of the message, typically to detect pollution attacks. We call such an A-code as multi-receiver homomorphic A-code (MRHA-co...

Vehicular ad hoc networks aim at increasing passenger safety by exchanging warning messages between vehicles wirelessly. A main challenge is to resist to various malicious abuses and security attacks. However, any security mechanism comes with overhead. We analyze how the authentication algorithm ECDSA and the consensus mechanism impact the vehicular network performance and the braking distance...

STIMATION of sample size is one of the questions that we often encounter in research and applied designs. Various methods have been proposed to estimate Bayesian sample size. Freedman and Spiegelhalter [11] and Spiegelhalte et al. [12], used Bayesian approach for anticipating hypothesis testing power. Adcock [1], Pham Gia and Turkkan [10] used it for interval estimation based on normal approxim...

introductionpopulation data is easily accessible and shows the relationship between city size and other socio-economic factors in the city indirectly, so many geographers using this type of data to gain an understanding of the structure of the cities network and distribution of the people in the different levels of urban hierarchy. in fact, urban hierarchy is the best way of space organization ...