Distributed Generation of a Family of Connected Dominating Sets in Wireless Sensor Networks

  • Authors:
  • Kamrul Islam;Selim G. Akl;Henk Meijer

  • Affiliations:
  • School of Computing, Queen's University, Kingston, Canada K7L 3N6;School of Computing, Queen's University, Kingston, Canada K7L 3N6;School of Computing, Queen's University, Kingston, Canada K7L 3N6

  • Venue:
  • DCOSS '09 Proceedings of the 5th IEEE International Conference on Distributed Computing in Sensor Systems
  • Year:
  • 2009

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Abstract

We study the problem of computing a family of connected dominating sets in wireless sensor networks (WSN) in a distributed manner. A WSN is modelled as a unit disk graph G = (V ,E ) where V and E denote the sensors deployed in the plane and the links among them, respectively. A link between two sensors exists if their Euclidean distance is at most 1. We present a distributed algorithm that computes a family S of S 1 ,S 2 , *** , S m non-trivial connected dominating sets (CDS ) with the goal to maximize *** = m /k where k =max u *** V |{i :u *** S i }|. In other words, we wish to find as many CDS s as possible while minimizing the number of frequencies of each node in these sets. Since CDS s play an important role for maximizing network lifetime when they are used as backbones for broadcasting messages, maximizing *** reduces the possibility of repeatedly using the same subset of nodes as backbones. We provide an upper bound on the value of *** via a nice relationship between all minimum vertex-cuts and CDS s in G and present a distributed (localized) algorithm for the *** maximization problem. For a subclass of unit disk graphs, we show that our algorithm achieves a constant approximation factor of the optimal solution.