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The new method presented in this paper shows an effective way of solving an estimation problem, the estimated values are nearer to their theoretical ones than in an adjustment with the method of least squares. Considering the semi parametric adjustment models, firstly, the estimators of the parameters and the nonparametric are derived by using a kernel function and the least square method. Secondly,...
In kernel density estimation methods, an approximation of the data probability density function is achieved by locating a kernel function at each data location. The smoothness of the functional approximation and the modelling ability are controlled by the kernel bandwidth. In this paper we propose a Bayesian estimation method for finding the kernel bandwidth. The distribution corresponding to the...
Layered multicast protocol (LMP) is designed to support simultaneous and real-time multimedia content distribution to large number of disparate receivers across the heterogeneous Internet. However, the current layered multicast protocols (LMPs) use the techniques that do not correctly model TCP behaviour, which results in the protocols can't fairly compete with TCP. TCP-friendly layered multicast...
In a wired multi-hop path, the concepts of end-to-end bandwidth (BW) and end-to-end available bandwidth (ABW) are clearly defined and widely accepted as the capacity of the narrow link and the unused bandwidth of the tight link, respectively. This consensus has led to clever estimation techniques based on active probing measurements. However, these concepts do not apply directly to wireless ad hoc...
Free-riding is a grave threat against the existence and efficient operation of Peer-to-peer (P2P) networks. This paper proposes a rank-based incentive mechanism to restrain the free-riding. In this mechanism, each user has a rank according to its utility value and it can just visit the corresponding rating files with its rank in the system. The utility function in this paper takes the absolute contribution...
BART is a state-of-the-art active end-to-end bandwidth measurement method that estimates not only the available bandwidth but also the link capacity of the bottleneck link. It uses a Kalman filter to give estimates in real time during a measurement session. In this paper, we have studied the impact of 802.11 networks on the bandwidth estimates produced by BART. The Kalman filter used by BART is tunable,...
Available bandwidth estimation techniques are being used in network monitoring and management tools to provide information about the utilization of the network and verify the compliance of service level agreements. However, the use of these techniques in other applications and network environments is limited by the convergence time, accuracy, and amount of overhead that they introduce. In this paper,...
TCP-friendly rate control(TFRC) is an equation-based congestion control mechanism that competes fairly with TCP but has a much lower throughput variation, which makes it a better choice for streaming over the Internet. It is known that in a mobile network environment, after a handover TFRC can overshoot or under utilize the new link if the conditions there differ from those of the old link. There...
The paper deals with the possibility of the 1st Erlang formula utilization in asynchronous transfer mode (ATM) networks. This statement is possible on the basis of research of statistical features of traffic source input flow. We consider ATM network type where in the case of virtual path important parameters are loss, link utilization and bandwidth. The evidence of the 1st Erlang formula utilization...
Streaming media applications require acceptable levels of quality of service (QoS). Appropriate rate control mechanism is needed to make streaming media applications to adapt to dynamic network conditions. This paper discusses a window-based weighted-fairness AIMD (WF-AIMD) congestion control algorithm which allows competing flows to share a common bandwidth according to their weights. By making flows...
The research on how to use self-similarity for intrusion detection is not unfounded, as the scaling properties seem to partially define the very nature of aggregated traffic, and may become a potential differentiating factor in the presence of an anomaly. This paper explains how network intensive attacks can be injected into simulated traces of traffic, to then evolve to their analysis using a fast...
BBN Technologies designed an algorithm called Swift Start for TCP to mitigate the start up problem. Some drawbacks face that algorithm. This paper introduces a modification to that algorithm then it will evaluate the modified swift start TCP congestion control algorithm analytically and by simulation and then it will compare between its performance with that of slow start TCP and the original swift...
Multi-path effect in HF communication not only changes the amplitude, but changes the phase of receiving signal as well. The rapid and random movement of ionospheric causes the oscillation of the phase. It could be viewed as the Doppler shift of high-frequency carrier caused by ionospheric. The shift of frequency should be corrected because it brings difficulty in recovering the carrier. The non-blind...
In this paper, an energy efficient adaptive modulation scheme is proposed for a wireless cognitive radio ad hoc network, where each node is equipped with cognitive radio and the network is an OFDMA system operating on time slots. In each slot, the users with new traffic demand will sense the spectrum and locate the available subcarrier set. Then they choose subcarriers with favorable channel condition...
Current mode (CM) scheme provides suitable alternative for the high speed on-chip interconnect signaling. This paper presents a energy-delay optimization methodology for the current-mode (CM) signaling scheme. Optimization for the CM circuits for on-chip interconnects requires a joint optimization of driver and receiver device sizes, as their parameters which affect the energy-delay performance depend...
We present a generic method for analyzing the effect of process variability in nanoscale circuits. The proposed framework uses kernel and a generic tail probability estimator to eliminate the need for a-priori density choice for the nature of circuit variation. This allows capturing the true nature of the circuit variation from a few random samples of its observed responses. The data-driven, non-parametric,...
The multi-access scheme of 802.11 wireless networks imposes difficulties in achieving predictable service quality in multi-hop networks. In such networks, the residual capacity of wireless links should be estimated for resource allocation services such as flow admission control. In this paper, we propose an accurate and non-intrusive method to estimate the residual bandwidth of an 802.11 link. Inputs...
Parametric and nonparametric methods are used in estimating stochastic diffusion process. Nonparametric method has its own advantages; this paper utilizes nonparametric method to estimate drift and diffusion term. Two nonparametric methods have been studied, which are kernel estimation and local linear estimation. Local linear estimation has been used in estimating dynamics of Shanghai Stock Exchange...
Object detection is an important basis for tracking and recognition in visual surveillance systems via stationary cameras. The traditional background subtraction method is difficult to detect objects accurately in the scenes, because the background is usually cluttered and not completely static. In this paper, we propose a new method for background subtraction based on adaptive non-parametric kernel...
An ultrasonic system using a pulse for time-of-flight (TOF) estimation from noisy echoes has been analyzed in paper. Simulation has been used as the sampling parameters influence evaluation tool. The precision of the time delay estimation using the direct correlation technique has been theoretically calculated and compared to the simulation results. The results indicate that sampling frequency selection...
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