Injecting Power-Awareness into Epidemic Information Dissemination in Sensor Networks

Details

Serval ID
serval:BIB_BD46B15AED97
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Injecting Power-Awareness into Epidemic Information Dissemination in Sensor Networks
Journal
Future Generation Computer Systems
Author(s)
Garbinato B., Rochat D., Tomassini M., Vessaz F.
ISSN
0167-739X
Publication state
Published
Issued date
2010
Peer-reviewed
Oui
Volume
26
Number
6
Pages
868-876
Language
english
Abstract
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.
Keywords
dop, mahga, Algorithms, Measurement, Performance, Ad hoc networks, Gossiping protocol, Power efficiency
Web of science
Create date
28/06/2010 9:09
Last modification date
20/08/2019 15:31
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