On the connectivity of a random interval graph
Proceedings of the seventh international conference on Random structures and algorithms
A probabilistic analysis for the range assignment problem in ad hoc networks
MobiHoc '01 Proceedings of the 2nd ACM international symposium on Mobile ad hoc networking & computing
The Critical Transmitting Range for Connectivity in Sparse Wireless Ad Hoc Networks
IEEE Transactions on Mobile Computing
Threshold Functions for Random Graphs on a Line Segment
Combinatorics, Probability and Computing
The Critical Transmitting Range for Connectivity in Mobile Ad Hoc Networks
IEEE Transactions on Mobile Computing
The bin-covering technique for thresholding random geometric graph properties
SODA '05 Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms
Sensitivity of critical transmission ranges to node placement distributions
IEEE Journal on Selected Areas in Communications - Special issue on stochastic geometry and random graphs for the analysis and designof wireless networks
IEEE Transactions on Information Theory
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We consider a collection of n independent points which are distributed on the unit interval [0,1] according to some probability distribution function F. Two nodes communicate with each other if their distance is less than some given threshold value. When F admits a density f which is strictly positive on [0,1], we give conditions on f under which the property of graph connectivity for the induced geometric random graph obeys a very strong zero---one law when the transmission range is scaled appropriately with n large. The very strong critical threshold is identified. This is done by applying a version of the method of first and second moments.