Self-Aware Distributed Consensus Building for Sensor Networks
Joint Authors
Source
ISRN Communications and Networking
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-12-19
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Distributed consensus building promises to improve the robustness and reliability of sensor networks and thus is an active topic of research.
Whereas extensive study has been done on the theoretical analysis of the asymptotic behavior of consensus building, one important issue that is crucial to the practical implementation of sensor networks was rarely explored, namely, the criteria to determine whether consensus has been attained.
In this paper, we propose an approach that allows each node in a network to make the decision by itself, based on the second derivatives of its own state.
The approach does not rely on the states of other nodes, leads to substantial saving of communication resources, and is resilient to connection failure.
We perform a systematic analysis of the approach and, as a consequence, derive the optimal parameters that minimize the upper bound of the number of required iterations to reach consensus.
American Psychological Association (APA)
Chen, Lei& Frolik, Jeff. 2011. Self-Aware Distributed Consensus Building for Sensor Networks. ISRN Communications and Networking،Vol. 2011, no. 2011, pp.1-10.
https://search.emarefa.net/detail/BIM-504134
Modern Language Association (MLA)
Chen, Lei& Frolik, Jeff. Self-Aware Distributed Consensus Building for Sensor Networks. ISRN Communications and Networking No. 2011 (2011), pp.1-10.
https://search.emarefa.net/detail/BIM-504134
American Medical Association (AMA)
Chen, Lei& Frolik, Jeff. Self-Aware Distributed Consensus Building for Sensor Networks. ISRN Communications and Networking. 2011. Vol. 2011, no. 2011, pp.1-10.
https://search.emarefa.net/detail/BIM-504134
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-504134