NDLI: BlockTree: Location-aware decentralized monitoring in mobile ad hoc networks

Content Provider	IEEE Xplore Digital Library
Author	Stingl, D. Gross, C. Nobach, L. Steinmetz, R. Hausheer, D.
Copyright Year	2013
Description	Author affiliation: Peer-to-Peer Syst. Eng. Lab., Tech. Univ. Darmstadt, Darmstadt, Germany (Hausheer, D.) \|\| Multimedia Commun. Lab., Tech. Univ. Darmstadt, Darmstadt, Germany (Stingl, D.; Gross, C.; Nobach, L.; Steinmetz, R.)
Abstract	Mobile ad hoc networks (MANETs) represent a crucial alternative to deploy applications in urban areas. In those networks, it is inevitable that all nodes are aware of the current system state to adapt their behavior according to the varying conditions. However, existing decentralized monitoring solutions for MANETs only locate the required information at a set of nodes, which are in charge of serving the remaining network, while the availability of information depends on the accessibility of those nodes. To avoid these limitations, BlockTree is a novel, fully decentralized monitoring approach for MANETs that leverages each node's resources to capture and distribute the system state to all nodes. Exploiting its hierarchical structure, BlockTree introduces the concept of location-aware monitoring delivering detailed as well as aggregated information. Through robust communication paired with the stateless design, BlockTree provides accurate results in the presence of fast moving nodes or over an error-prone communication medium.
Starting Page	373
Ending Page	381
File Size	939269
Page Count	9
File Format	PDF
ISSN	07421303
e-ISBN	9781479905379
DOI	10.1109/LCN.2013.6761269
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-21
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Monitoring Peer-to-peer computing Ad hoc networks Mobile computing Routing Robustness Topology location-awareness mobile ad hoc networks decentralized monitoring data collection aggregation
Content Type	Text
Resource Type	Article

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