A plethora of random graph models have been developed in recent years to study a range of problems on networks, driven by the wide availability of data from many social, telecommu...
: This paper presents a network mapping algorithm and proves its correctness assuming a traffic-free network. Respecting well-defined parameters, the algorithm produces a graph iso...
Brent N. Chun, Alan M. Mainwaring, Saul Schleimer,...
Abstract— Scalable network localization is key for realizing ad-hoc networks. In this paper we propose a localization scheme where nodes form a relative coordinate system of the ...
Jayasri Akella, Murat Yuksel, Shivkumar Kalyanaram...
This paper describes a technique for the probabilistic self-localization of a sensor network based on noisy inter-sensor range data. Our method is based on a number of parallel in...
Stochastic simulation models are used to predict the behavior of real systems whose components have random variation. The simulation model generates artificial random quantities b...