"A novel approach based on bio-inspired efficient clustering algorithm " by Lokesh Lohar, Navneet Kumar Agrawal et al.
In large-scale heterogeneous wireless sensor networks (WSNs), clustering is particularly significant for lowering sensor nodes (SNs) energy consumption and creating algorithm more energy efficient. The selection of cluster heads (CHs) is a crucial task in the clustering method. In this paper, optimised K-means clustering algorithm and optimised K-means based modified intelligent CH selection based on BFOA for large-scale network (lar-OK-MICHB) is hybridised for CH selection process. Here, we uti...
Energy Efficient Eterogeneous Sensor Nodes Eterogeneous Wsn Etwork Lifetime K Michb Algorithm Ptimisedk Means Algorithm
Source: uow.edu.au