Results 291 to 300 of about 2,372,317 (320)

An Energy-Balanced Probability Coverage Algorithm for WSN

Advanced Materials Research, 2011
The sensing capabilities of sensor nodes are affected by various factors in the actual environment, and the ideal disk sensing model is not available in the practical sensor network. In this paper, we proposed an Energy-balance Coverage Algorithm based on Probability (ECAP).
Dong Wang, Yu Xiong Su
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On multiple fault coverage and aliasing probability measures

International Test Conference 1988 Proceeding@m_New Frontiers in Testing, 2003
A comparative study is presented of different methods of calculating multiple fault coverage and aliasing probability measures. The objectives are to describe the ways that these ratios are defined to give them a physical interpretation, and to separate the discussion of how to define the measure from how the measure might be actually obtained or ...
Janusz Rajski, A. Ivanov, V.K. Agarwal, H. Cox   +3 more
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Sensor Placement for Grid Coverage with Probability Mode

2010 International Conference on Computational Intelligence and Software Engineering, 2010
Under the condition that the coverage of each discrete grid point is Κ and the precision is Τ, this paper presents a new covering algorithm based on the probability model, the simulation of which can be performed with MATALB. Simulation results show that the least sensors are needed in this new algorithm compared with the mean algorithm and the ...
Chuanlin Zhang, Wenzheng Zhang
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Probability, belief and success rate: comments on ‘On the meaning of coverage probabilities’

Metrologia, 2010
The method of uncertainty evaluation discussed in Supplement 1 to the Guide to the Expression of Uncertainty in Measurement generates a coverage interval in which the measurand is said to have a certain probability (the coverage probability) of lying. This communication contains a response to the recent claim that 'when a coverage interval summarizes ...
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Minimum Variance Unbiased Estimate of a Coverage Probability

Operations Research, 1968
Let F(x, θ) denote the distribution function of a vector variate x, whose range does not depend on the parameter θ. Then assuming that θ admits a complete and sufficient estimator θ̂, we derive minimum variance unbiased estimate of Px ≦ a= F(a, θ), where a is a known vector. The result is applied to a coverage problem in a normal set up.
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A Gaussian process regression approach to predict the k-barrier coverage probability for intrusion detection in wireless sensor networks

Expert systems with applications, 2021
Abhilash Singh, Jaiprakash Nagar, Sandeep Sharma, Vaibhav Kotiyal   +3 more
semanticscholar   +1 more source

Characterizing the mobile coverage probability in different geometries

IEEE Latin America Transactions, 2019
This work characterizes the radio frequency (RF) power distribution within a given area via its mean and variance in three particular geometries. Through our statistical approach we have developed computationally simple equations that can be used to compute the mean value and variance of the RF power received in a circular area and in some other ...
Juan Guillermo Torres Hurtado, Bustamante Roberto, Caicedo Bastidas Carlos E.   +2 more
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Optimal design parameters for coverage probability in fractional frequency reuse and soft frequency reuse

IET Communications, 2015
In this work, the authors derive the optimal signal-to-interference-ratio (SIR) thresholds S t which maximise coverage probability for both fractional frequency reuse (FFR) and soft frequency reuse (SFR) networks with base station locations modelled ...
Suman Kumar, S. Kalyani, K. Giridhar
semanticscholar   +1 more source

Multivariate Extreme Value Distributions and Coverage of Ranking Probabilities

Journal of Mathematical Psychology, 2001
The main result in this paper is that the class of multivariate extreme value distributions, when used as random utility models, can approximate all ranking probability distributions. This extends Theorem 1 of Dagsvik (1995). Copyright 2001 Academic Press.
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Random space filling and moments of coverage in geometrical probability

Journal of Applied Probability, 1978
The moments of the random proportion of a fixed set that is covered by a random set (moments of coverage) are shown to converge under very general conditions to the probability that the fixed set is almost everywhere covered by the random set. Moments and coverage probabilities are calculated for several cases of random arcs of random sizes on the ...
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