Sensor networks protocol design using random Markov field theory

Authors:
Sylvie Perreau;Marc Sigelle;Paolo Da Silva;Aruna Jayasuriya
Affiliations:
Institute for Telecommunications Research, University of South Australia, Mawson Lakes, Australia;Institut TELECOM ParisTech, Paris, France;Institut TELECOM ParisTech, Paris, France;Institute for Telecommunications Research, University of South Australia, Mawson Lakes, Australia
Venue:
SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
Year:
2009

Citing 3
Cited 0

An iterative Gibbsian technique for reconstruction of m-ary images

Pattern Recognition
ATPC: adaptive transmission power control for wireless sensor networks

Proceedings of the 4th international conference on Embedded networked sensor systems
Power scheduling of universal decentralized estimation in sensor networks

IEEE Transactions on Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we present a new general framework allowing sensor networks design using Random Markov Fields (MRF) theory. We explain how the principles underlying MRF theory naturally fit design requirements in sensor networks in particular the need to rely on decentralised and distributed methods to solve global optimisation problems. We illustrate the potential of this new general concept with the practical problems of power control and resource allocation. In addition, we present a new method to improve the convergence rate of the simulated annealing when the sensor network design problem is a constrained optimisation problem.