A Flexible Algorithm for Sensor Network Partitioning and Self-partitioning Problems

  • Sandip Roy
  • Yan Wan
  • Ali Saberi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4240)


Motivated by the need for agent classification in sensor networking and autonomous vehicle control applications, we propose a flexible and distributed stochastic automaton-based network partitioning algorithm that is capable of finding the optimal k-way partition with respect to a broad range of cost functions, and given various constraints, in directed and weighted graphs. Specifically, we motivate the need for new algorithms for network partitioning and distributed (or self-) partitioning. We then review our stochastic automaton-based partitioning algorithm, and extend its use for network partitioning and self-partitioning problems. Finally, the application of the algorithm to mobile/sensor classification in ad hoc networks is pursued in detail, and other applications are briefly introduced.


sensor classification partitioning stochastic automata 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Sandip Roy
    • 1
  • Yan Wan
    • 1
  • Ali Saberi
    • 1
  1. 1.Washington State University 

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