In the future, Mobile Ad hoc Networks (MANET)s are expected to be deployed in myriads of scenarios having complex node mobility and connectivity dynamics. Unfortunately, these complex movement scenarios give a tough c...
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In the future, Mobile Ad hoc Networks (MANET)s are expected to be deployed in myriads of scenarios having complex node mobility and connectivity dynamics. Unfortunately, these complex movement scenarios give a tough challenge to the MANET routing protocol. We reviewed some mobility models that have different mobility characteristic, and also studied the effect of these mobility models towards the performance of geographical-based route maintenance strategy in the Dynamic Source Routing (DSR) protocol.
The paper discussed on experimental result that improve the transmission distance by use of an integrated dispersion compensated double-pass Erbium-doped Fiber Amplifier (DPCEDFA). The chromatic dispersion compensatio...
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Hierarchical reliable multicast transport protocols partition group members into local groups and allocate one local repair node for each local group to distribute the task of detecting and recovering lost packets. Th...
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Hierarchical reliable multicast transport protocols partition group members into local groups and allocate one local repair node for each local group to distribute the task of detecting and recovering lost packets. This repair node uses the data stored in its buffer to retransmit the requested packets to the requesting receivers. The problem is that they keep these packets for a long time until they get acknowledgments from all their children receivers of correctly receiving these packets. Keeping these packets creates a congestion problem which decreases the network throughput. This paper proposes a new scheme to solve this problem, by distributing the required packets between the repair node which we call it here the control receiver and some selected receives that have already received these packets correctly. The distribution of the packets decreases the number of packets in the repair node buffer, thus solve the congestion problem and increase the network throughput.
With respect to current methods for query evaluation over XML data streams, adoption of certain types of buffering techniques is unavoidable. Under lots of circumstances, the buffer scale may increase exponentially, w...
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Image segmentation is one of the most important parts of clinical diagnostic tools. Medical images mostly contain noise and in homogeneity. Therefore, accurate segmentation of medical images is a very difficult task. ...
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Image segmentation is one of the most important parts of clinical diagnostic tools. Medical images mostly contain noise and in homogeneity. Therefore, accurate segmentation of medical images is a very difficult task. However, the process of accurate segmentation of these images is very important and crucial for a correct diagnosis by clinical tools. In this paper a new method is proposed which is robust against in-homogeneousness and noisiness of images. The user selects training data for each target class. Noise is reduced in image using Stationary wavelet Transform (SWT) then FCM clusters input image to the n clusters where n is the number of target classes. User selects some of the clusters to be partitioned again. FCM clusters each user selected cluster to two sub clusters. This process continues until user to be satisfied. Each cluster is considered as a sub-class. Posterior probability of data to each sub class is calculated using data in those sub-classes. Probability density of each target class at sub classes is calculated using training data. Probability of data to each target class is calculated using probability density of each subclass at input data and probability of each subclass to each target class. At last, the image is clustered using probability of data to each target class. Segmentation of several simulated and real images are demonstrated to show the effectiveness of the new method.
High quality of data transmission services is an important task for wireless broadband communicationsystems. This paper is concerned with the design problem of real-time wireless data transmission which provides uneq...
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Lip detection is used in many applications such as face detection and lips reading. We have proposed a novel approach for detecting lip using Particle Swarm Optimization (PSO). PSO is used to obtain an optimized map. ...
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This paper presents an optimization of GPR mixture model based on the measurements and simulation results at frequency range of 1.7-2.6 GHz. The purpose is to get a most accurate relationship between attenuation and d...
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This paper presents an optimization of GPR mixture model based on the measurements and simulation results at frequency range of 1.7-2.6 GHz. The purpose is to get a most accurate relationship between attenuation and density for various road pavements densities. The proposed method is simple, fast, nondestructive and accurate way to determine the density of road pavement. Density is a one of the important parameter in order to determine the compressive strength of road pavement. In laboratory, a few of received signal strength and measured attenuation for nine road pavement slab samples were taken at four different frequencies. The GPR mixture model has been used to produce the predicted attenuation due to the pavement density. The calculation and selection of mixture model has been discussed thoroughly and only the best performance of GPR mixture model was selected for optimization.
The acknowledgment strategy has great potential to increase the TCP throughput when it runs over 802.11 MAC protocol. In particular, TCP acknowledgments carry out an extensive number of medium accesses as they compete...
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ISBN:
(纸本)9780769534282
The acknowledgment strategy has great potential to increase the TCP throughput when it runs over 802.11 MAC protocol. In particular, TCP acknowledgments carry out an extensive number of medium accesses as they compete in the same route as data packets for media. As the load increases, the well-known hidden terminal effects caused by interference between ACK and data packets in MAC layer can degrade TCP performance dramatically if TCP acknowledges every incoming data packets. In this paper a dynamic TCP-MAC interaction strategy has been proposed which tries to reduce the number of induced ACKs by monitoring the channel condition. To this end, the total collision probability collected along the path from sender to receiver in MAC layer has been used to properly set the number of delayed ACKs (DA) in TCP. Based on the measured collision probability, TCP sender dynamically adjusts itself to the channel condition by delaying less ACKs in high traffics and more in low traffic conditions. The simulation results show a throughput improvement up to 15% over the existing method called dynamic adaptive acknowledgment (TCP-DAA) and much more over the regular TCP in the scenarios dealing with a dynamic loss rate.
This paper present the results and performance of angle diversity for direction of arrival OOA) setup. The 4x4 Butler Matrix was been used at transmitter and receiver sides. The 2x2 rectangular patches have been used ...
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