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Biology-Inspired Distributed Consensus in Massively-Deployed Sensor NetworksPromises of ubiquitous control of the physical environment by large-scale wireless sensor networks open avenues for new applications that are expected to redefine the way we live and work. Most of recent research has concentrated on developing techniques for performing relatively simple tasks in small-scale sensor networks assuming some form of centralized control. The main contribution of this work is to propose a new way of looking at large-scale sensor networks, motivated by lessons learned from the way biological ecosystems are organized. Indeed, we believe that techniques used in small-scale sensor networks are not likely to scale to large networks; that such large-scale networks must be viewed as an ecosystem in which the sensors/effectors are organisms whose autonomous actions, based on local information, combine in a communal way to produce global results. As an example of a useful function, we demonstrate that fully distributed consensus can be attained in a scalable fashion in massively deployed sensor networks where individual motes operate based on local information, making local decisions that are aggregated across the network to achieve globally-meaningful effects.
Document ID
20050240824
Acquisition Source
Langley Research Center
Document Type
Conference Paper
Authors
Jones, Kennie H.
(NASA Langley Research Center Hampton, VA, United States)
Lodding, Kenneth N.
(NASA Langley Research Center Hampton, VA, United States)
Olariu, Stephan
(Old Dominion Univ. Norfolk, VA, United States)
Wilson, Larry
(Old Dominion Univ. Norfolk, VA, United States)
Xin, Chunsheng
(Norfolk State Univ. VA, United States)
Date Acquired
August 23, 2013
Publication Date
January 1, 2005
Subject Category
Electronics And Electrical Engineering
Meeting Information
Meeting: 4th International Conference on AD HOC Networks and Wireless
Location: Cancun
Country: Mexico
Start Date: October 6, 2005
End Date: October 8, 2005
Funding Number(s)
OTHER: 23-079-80-SL
Distribution Limits
Public
Copyright
Public Use Permitted.
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