Global connectivity from local geometric constraints for sensor networks with various wireless footprints

  • Authors:
  • Raissa D'Souza;David Galvin;Cristopher Moore;Dana Randall

  • Affiliations:
  • University of California, Davis, CA;University of Pennsylvania, Philadelphia, PA;University of New Mexico, Albuquerque, NM;Georgia Inst. of Tech., Atlanta, GA

  • Venue:
  • Proceedings of the 5th international conference on Information processing in sensor networks
  • Year:
  • 2006

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Abstract

Adaptive power topology control (APTC) is a local algorithm for constructing a one-parameter family of θ-graphs, where each node increases power until it has a neighbor in every θ sector around it.We show it is possible to use such a local geometric θ-constraint to ensure full network connectivity, and consider tradeoffs between assumptions about the wireless footprint and constraints on the boundary nodes. In particular, we show that if the boundary nodes can communicate with neighboring boundary nodes and all interior nodes satisfy a θI π constraint, we can guarantee connectivity for any arbitrary wireless footprint. If we relax the boundary assumption and instead impose a θB θI APTC constructs graphs that are sparse. Finally, we show that if the wireless footprint has sufficiently small "eccentricity", then there is some θ for which greedy geometric routing always succeeds.