Clustering Algorithms for Wireless Sensors
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Clustering algorithms in wireless sensor networks represent a crucial technical approach. These algorithms employ multi-round cluster head selection mechanisms to achieve intra-cluster multi-hop communication among network nodes. This methodology significantly enhances network energy efficiency and transmission performance, resulting in more stable and reliable data transfer within the network. From an implementation perspective, such algorithms typically involve periodic cluster head election phases using metrics like residual energy and node density, followed by cluster formation and multi-hop routing establishment within each cluster. Key functions often include energy-aware cluster head selection, TDMA scheduling for intra-cluster communication, and dynamic routing protocols for multi-hop data aggregation toward the base station.
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