Local Approximation Algorithms for Scheduling Problems in Sensor Networks

  • Patrik Floréen
  • Petteri Kaski
  • Topi Musto
  • Jukka Suomela
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4837)


We study fractional scheduling problems in sensor networks, in particular, sleep scheduling (generalisation of fractional domatic partition) and activity scheduling (generalisation of fractional graph colouring). The problems are hard to solve in general even in a centralised setting; however, we show that there are practically relevant families of graphs where these problems admit a local distributed approximation algorithm; in a local algorithm each node utilises information from its constant-size neighbourhood only. Our algorithm does not need the spatial coordinates of the nodes; it suffices that a subset of nodes is designated as markers during network deployment. Our algorithm can be applied in any marked graph satisfying certain bounds on the marker density; if the bounds are met, guaranteed near-optimal solutions can be found in constant time, space and communication per node. We also show that auxiliary information is necessary—no local algorithm can achieve a satisfactory approximation guarantee on unmarked graphs.


Sensor Network Schedule Problem Approximation Ratio Local Algorithm Boundary Node 
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 2008

Authors and Affiliations

  • Patrik Floréen
    • 1
  • Petteri Kaski
    • 1
  • Topi Musto
    • 1
  • Jukka Suomela
    • 1
  1. 1.Helsinki Institute for Information Technology HIIT Department of Computer ScienceUniversity of HelsinkiFinland

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