The huge load on the cluster head (CH) nodes in the clustered Wireless Sensor Network (WSN) is still a problem that causes premature death for those overloaded nodes. In this paper, we have practically proved that CH-load reduction has the largest effect on enhancing the energy efficiency of the clustering algorithms compared to some other energy efficiency- enhancing factors. So, this paper also proposes a model that divides the load of the CH role into small parts/values, in an optimized manner, and allocates these values to the whole nodes in the cluster. Therefore, using the Wireless Power Transfer (WPT) strategy, each member node in the cluster will transfer a specific amount of energy (equal to a part of the CH load that is assigned to the node) to the CH node which will also bear a suitable and a calculated part of the load instead of the whole load. So, the lifetime of the WSN is enhanced. Our simulation results show that our proposed model achieves high lifetime improvement over Leach and K-means clustering algorithms respectively.

群集无线传感器网络（WSN）中群集头（CH）节点上的巨大负载仍然是一个问题，这些问题导致那些过载的节点过早死亡。在本文中，我们实践证明，与其他提高能源效率的因素相比，减少CH负载对提高聚类算法的能源效率具有最大的影响。因此，本文还提出了一种模型，该模型以优化的方式将CH角色的负载分为小部分/值，并将这些值分配给群集中的整个节点。因此，使用无线电力传输（WPT）策略，群集中的每个成员节点都将特定量的能量（等于分配给该节点的CH负载的一部分）传输到CH节点，该CH节点还将承担合适的和计算的一部分负载，而不是全部负载加载。因此，WSN的寿命得以延长。我们的仿真结果表明，我们提出的模型分别比Leach和K-means聚类算法实现了较高的生命周期改进。