Journal Article10.2307/2531709
Introduction to the Theory of Coverage Processes.
Brian D. Ripley,Peter Hall +1 more
690
About: This article is published in Biometrics. The article was published on 01 Sep 1989.
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Citations
Simulations and Models
01 Apr 2002
Abstract: How to produce realizations of a spatial stochastic model when they are subject to a set of conditions or constraints? These realizations are called conditional simulations. This paper presents some statistical tools to carry out conditional simulation of spatial stochastic models. This includes regression techniques for the conditional simulation of gaussian random functions, Gibbs sampler for truncated gaussian or plurigaussian random functions, and Metropolis-Hasting algorithm and restriction of a Markov chain for the boolean model.
Fault tolerant deployment and topology control in wireless networks
Xiang-Yang Li,Peng-Jun Wan,Yu Wang,Chih-Wei Yi +3 more
- 01 Jun 2003
Social evolution of shared biofilm matrix components
TL;DR: In this article , the authors show that shared diffusible biofilm matrix proteins are indeed susceptible to cheater exploitation and that the evolutionary stability of producing these matrix components fundamentally depends on biofilm spatial structure, intrinsic sharing mechanisms of these components, and flow conditions in the environment.
Coverage, connectivity, and fault tolerance measures of wireless sensor networks
Habib M. Ammari,Sajal K. Das +1 more
- 17 Nov 2006
TL;DR: This paper investigates the relationship between coverage and connectivity for k-covered WSNs (kCWSN), where every point in a field of interest is covered by at least k sensors, and proves that if the sensing coverage degree is k and R ≥ 2 × r , the network connectivity is higher than k.
Clustering Comparison of Point Processes, with Applications to Random Geometric Models
TL;DR: This chapter reviews some examples, methods, and recent results involving comparison of clustering properties of point processes, and sketches some recent results obtained using the aforementioned comparison tools, regarding percolation and coverage properties of the germ-grain model, the SINR model, subgraph counts in random geometric graphs, and more generally, U-statistics of point process.
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