Clustering Sensor Networks Using Growing Self-Organising Map
Siddeswara Mayura Guru, Arthur L. Hsu, Saman Kumara Halgamuge, Saman Fernando · 2005
Sensor networks consist of wireless enabled sensor nodes with limited energy. As sensors could be deployed in a large area, data transmitting and receiving are energy consuming operations. One of the methods to save energy is to reduce the transmission distance of each node by grouping nodes into clusters. Each cluster has a cluster-head (CH), which communicates with all the other nodes of that cluster and transmits the data to the remote base station. We describe the adaptation of a growing self-organising map (GSOM) to cluster the wireless sensor nodes and to identify the cluster-heads. We compare the results with a well-known clustering algorithm. We also describe the energy minimization criterion for clustering.