Biased Random Walk Model to Estimate Routing Performance in Sensor Networks
نویسندگان
چکیده
Les réseaux de capteurs sans fils sont constitués d’un grand nombre de nœuds assujettis à de sévères contraintes en terme d’énergie, de capacité de traitement et de communication. Dans ce contexte, afin de réduire la complexité, un des défis majeurs rencontrés dans ce type de réseau est le calcul des routes et la mise en œuvre de schémas de routage efficaces tout en minimisant la quantité d’information utilisée sur l’état du système. De nombreux travaux ont étudié ce compromis de façon qualitative ou grâce à des simulations. Nous proposons un modèle basé sur la théorie de la marche aléatoire pour estimer analytiquement ce compromis en considérant plus particulièrement l’influence du degré de connaissance de l’état du système que possède un noeud sur le temps moyen de collecte dans un réseau de capteurs sans fils.
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