A Balanced Parallel Clustering Protocol for Wireless Sensor Networks Using K-means Techniques
For wireless sensor networks (WSNs), It Is a challenging task how to schedule the energy resource to extend the network lifetime due to the fact that WSNs are usually powered by limited and non-rechargeable battery. A clustering scheme is helpful In reducing the energy consumption by aggregating data at intermediate sensor nodes. In this paper, we propose a balanced parallel K-means based clustering protocol; we term it BPK-means protocol. In this new protocol, we use K-means algorithm to...[Show more]
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