Distributed k-clustering algorithms for random wireless multihop networks

  • Authors:
  • Vlady Ravelomanana

  • Affiliations:
  • LIPN – UMR 7030, Université de Paris – Nord, Villetaneuse, France

  • Venue:
  • ICN'05 Proceedings of the 4th international conference on Networking - Volume Part I
  • Year:
  • 2005

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Abstract

Ad hoc networks consist of wireless hosts that communicate without the need of any fixed infrastructure. A k-clustering protocol is an algorithm in which the wireless network is divided into non-overlapping sub networks, referred to as clusters, and where every node of a sub network is at most k hops from a distinguished station called the clusterhead. Clustering is commonly used in ad hoc networks in order to limit the amount of routing information stored and maintained at individual nodes. In our setting, a large number n of distinguishable stations (e.g. sensors) are randomly deployed in a given area of size |${\mathcal S}$| We assume that the nodes use synchronous radio transmissions and any pair of nodes u and v are able to communicate if they are within a distance less than their transmitting range of each other. Moreover, if more than two neighbors of a node u transmit simultaneously, u is assumed to receive no message (collision). Under these assumptions, we propose and analyze efficient and fully distributed algorithms for the k-clustering problem.