Injecting Power-Awareness into Epidemic Information Dissemination in Sensor Networks

Détails

ID Serval
serval:BIB_BD46B15AED97
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Injecting Power-Awareness into Epidemic Information Dissemination in Sensor Networks
Périodique
Future Generation Computer Systems
Auteur(s)
Garbinato B., Rochat D., Tomassini M., Vessaz F.
ISSN
0167-739X
Statut éditorial
Publié
Date de publication
2010
Peer-reviewed
Oui
Volume
26
Numéro
6
Pages
868-876
Langue
anglais
Résumé
This paper presents and evaluates a novel approach to decrease the power consumption of epidemic information dissemination in sensor networks. In essence, our strategy consists in modulating the transmission range of sensors before they send messages. Since the range modulation follows a power-law probability distribution, we qualify our approach to information dissemination as being a power-law. An obvious consequence of this strategy is that many nodes can reach few neighbors, while few nodes can reach many neighbors. To evaluate the effects of our approach, we inject the power-law range modulation into four existing epidemic algorithms and we compare their performances with their original versions, based on a fixed transmission range or on a uniform distribution of transmission ranges. This evaluation shows that our power-law approach improves the efficiency of the original algorithms in terms of power consumption, with no negative impact of their effectiveness, measured in terms of how many nodes have been reached after the dissemination.
Mots-clé
dop, mahga, Algorithms, Measurement, Performance, Ad hoc networks, Gossiping protocol, Power efficiency
Web of science
Création de la notice
28/06/2010 10:09
Dernière modification de la notice
03/03/2018 20:58
Données d'usage