Cluster-based multi-channel system for improving performance of large-scale wireless multi-sink sensor networks

Cheick-Tidjane Kone (1) , Michael David (1) , Francis Lepage (1)

1 CRAN - Centre de Recherche en Automatique de Nancy

This paper presents a simple and distributed clustering algorithm suitable for large-scale wireless sensor networks (WSNs) consisting of several thousands of sensor nodes and few sink nodes. A two-tiered hierarchical architecture is used to increase scalability and ensure performances and durability of such a system: Level 1 called sensor network is partitioned into several equilibrate clusters with one leader or sink by cluster; Level 2 also called sink network is composed by N sinks nodes placed in planned manner into monitored region and is connected through IEEE 802.11 radio interfaces. A multi-channel system is used to create a cellular structure by assigning one frequency channel per cluster. We use simulation technique to evaluate and compare the impact of two distributed schemes (a single channel one and a multi-channel one) on network capacity like traffic load, energy consumption, medium access delay, end-to-end delay and data delivery ratio.

Mots clés: Clustering algorithm; Multiple channels; Multple sinks; Network performance; Wireless sensor networks

Domaines: Automatique / Robotique

Cheick-Tidjane Kone, Michael David, Francis Lepage. Cluster-based multi-channel system for improving performance of large-scale wireless multi-sink sensor networks. 2nd International Conference on Future Computer and Communication, ICFCC 2010, May 2010, Wuhan, China. pp.CDROM, ⟨10.1109/ICFCC.2010.5497680⟩. ⟨hal-00598148⟩