Hidden nodes are a basic problem that can potentially influence any multi-hop wireless networks where nodes cannot hear each other. Even though the hidden node problem is well known, its effects have not been quantified so well in a comprehensive manner up to now. This paper presents a novel framework for the queuing analysis towards getting a quantitative insight into the impact of hidden node...

In classical transport models, it is always assumed that parameters such as the distance from each supply node to each demand node or the cost of transferring goods from one node to another, as well as quantities such as supply and demand are definite and definite amounts. But in real matters, considering these assumptions is not logical. On the other hand, there may be a real problem in mathem...

centralizing and using proper transportation facilities cut down costs and traffic. hub facilities concentrate on flows to cause economic advantage of scale and multimodal transportation helps use the advantage of another transporter. a distinctive feature of this paper is proposing a new mathematical formulation for a three-stage p-hub location routing problem with simultaneous pick-ups and de...

The detection of sequence similarity within the twilight zone has been a challenging problem in sequence analysis. Among various types of approaches for sequence similarity detection, the profileprofile comparison is one of the most reliable approaches [4]. In this study, we design a profile, named match-node profile, which is generated from match nodes in the Hidden Markov Model (HMM) profiles.

In a wireless network, when a single channel is employed, hidden terminal and radio interference problems may occur. The two problems are the main factors that cause low network throughput. In fact, the hidden node problem results from radio interference. Up to the present, many researchers have used multi-channel schemes to solve the interference problem. However, amulti-channel system causes ...

We present a novel HMM based approach to simultaneous segmentation of vessel walls in Lymphatic confocal images. The vessel borders are parameterized using RBFs to minimize the number of tracking points. The proposed method tracks the hidden states that indicate border locations for both the inner and outer walls. The observation for both borders is obtained using edge-based features from steer...

In the construction of a Bayesian network f fom observed data, the findamental assumption that the variables starting @om the same parent are conditionally independent can be met by introduction of hidden node [Kwoh and Gillies 1994al. In the paper, we have shown that the conditional probability matrices for the hidden node for a triplet, linking three observed nodes, can be determined by the g...

Hidden nodes in a wireless network refer to nodes that are out of range of other nodes or a collection of nodes. We will discuss a few problems introduced by the RTS/CTS mechanism of collision avoidance and focus on the virtual jamming problem, which allows a malicious node to effectively jam a large fragment of a wireless network at minimum expense of power. We have also discussed WiCCP (Wirel...

This paper formulates the inverse power flow problem which is to infer nodal admittance matrix (hence network structure of system) from voltage and current phasors measured at a number buses. We show that can be uniquely identified sequence measurements corresponding different steady states when every node in system equipped with measurement device, Kron-reduced determined even if some nodes ar...

The problem of determining the architecture of a multilayer perceptron together with the disadvantages of the standard backpropagation algorithm, directed the research towards algorithms that determine not only the weights but also the structure of the network necessary for learning the data. We propose a Constructive Algorithm with Multiple Operators using Statistical Test (MOST) for determini...