Biology-Inspired Distributed Consensus in Massively-Deployed Sensor Networks

  • Kennie H. Jones
  • Kenneth N. Lodding
  • Stephan Olariu
  • Larry Wilson
  • Chunsheng Xin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3738)


Promises 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.


Sensor Network Wireless Sensor Network Time Slot Cellular Automaton Majority Rule 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Kennie H. Jones
    • 1
  • Kenneth N. Lodding
    • 1
  • Stephan Olariu
    • 2
  • Larry Wilson
    • 2
  • Chunsheng Xin
    • 3
  1. 1.NASA Langley Research CenterHampton
  2. 2.Old Dominion UniversityNorfolk
  3. 3.Norfolk State UniversityNorfolk

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