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Sensor Placement for Grid Coverage with Probability Mode
2010 International Conference on Computational Intelligence and Software Engineering, 2010Under 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, 2010The 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, 1968Let 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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Characterizing the mobile coverage probability in different geometries
IEEE Latin America Transactions, 2019This 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 +2 more
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Multivariate Extreme Value Distributions and Coverage of Ranking Probabilities
Journal of Mathematical Psychology, 2001The 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, 1978The 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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Probability distributions for discrete one-dimensional coverage processes
Signal Processing, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
John C. Handley, Edward R. Dougherty
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Analysis of Coverage Probability for Cooperative Heterogeneous Network
2013 IEEE 78th Vehicular Technology Conference (VTC Fall), 2013Heterogeneous network (HetNet) has been studied as a promising technology to boost the system throughput. A new upper boundary of coverage probability (CP) is derived, which is the one of cooperative communication between two base stations (BSs) for downlink HetNet.
Hui Zhang +4 more
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k-Coverage Probability in a Finite Wireless Network
2017 IEEE Wireless Communications and Networking Conference (WCNC), 2017We present a general mathematical framework to characterize the performance of an arbitrarily-located reference receiver in a finite wireless network. Modeling the locations of nodes as a uniform binomial point process (BPP), we derive the general k-coverage probability, which is the distribution of the signal-to-interference ratio (SIR) at the ...
Mehrnaz Afshang, Harpreet S. Dhillon
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Estimation of the coverage probabilities by 3-stage sampling
Annual Reliability and Maintainability Symposium 1995 Proceedings, 2002Development of fault-tolerant computing systems requires accurate reliability assessment techniques. Usually, the reliability measures are functions of component failure rates and fault coverage probabilities. Coverage provides information about the fault and error detection, isolation and system recovery capabilities.
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