In this paper, we propose a decentralized algorithm for the estimation and control of connectivity of random ad hoc networks. First, we introduce a novel stochastic power iteration method that allows each node to estimate and track the expected algebraic connectivity of a random graph. The proposed method is then used to adapt the power transmitted by each node in order to drive the network connectivity toward a desired value. Numerical results illustrate the main features of the algorithm and its robustness to fluctuations of the network graph due to the presence of random link failures.
Decentralized estimation and control of algebraic connectivity of random ad-hoc networks / Di Lorenzo, P.; Barbarossa, Sergio. - (2013), pp. 4474-4478. (Intervento presentato al convegno IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) tenutosi a Vancouver, CANADA nel MAY 26-31, 2013) [10.1109/ICASSP.2013.6638506].
Decentralized estimation and control of algebraic connectivity of random ad-hoc networks
Di Lorenzo P.;BARBAROSSA, Sergio
2013
Abstract
In this paper, we propose a decentralized algorithm for the estimation and control of connectivity of random ad hoc networks. First, we introduce a novel stochastic power iteration method that allows each node to estimate and track the expected algebraic connectivity of a random graph. The proposed method is then used to adapt the power transmitted by each node in order to drive the network connectivity toward a desired value. Numerical results illustrate the main features of the algorithm and its robustness to fluctuations of the network graph due to the presence of random link failures.File | Dimensione | Formato | |
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