In fact, Cluster Head (CH) can be selected randomly or based on one or more criteria that directly pave the way for maximizing network lifetime. However, the selection of cluster head makes an optimization problem, and so far, more research work have been introduced to select the optimal cluster head under different optimization models. Under this scenario, this paper intends to propose a new energy-aware CH selection by hierarchical routing in WSN by a new hybrid optimization model. Further, the selection goes with certain criteria like energy stabilization, minimization of distance among nodes, minimization of delay during data transmission. The defined non-linear objective function attains the lifetime prolonging through selecting the optimal CH. The introduced algorithm is termed as Cuckoo Insisted-Rider Optimization Algorithm (CI-ROA), which is the hybridization of Rider Optimization Algorithm (ROA) and Cuckoo Search (CS) Algorithm. At last, the performance of the proposed work is compared and proved to other conventional models.

事实上，簇头 (CH) 可以随机选择，也可以基于一个或多个直接为最大化网络寿命铺平道路的标准。然而，簇头的选择是一个优化问题，到目前为止，已经引入了更多的研究工作来选择不同优化模型下的最优簇头。在这种情况下，本文打算通过新的混合优化模型在 WSN 中通过分层路由提出一种新的能量感知 CH 选择。此外，选择符合某些标准，如能量稳定、节点之间距离的最小化、数据传输期间延迟的最小化。定义的非线性目标函数通过选择最优的CH来实现寿命延长。引入的算法称为 Cuckoo Insisted-Rider 优化算法 (CI-ROA)，这是骑士优化算法（ROA）和布谷鸟搜索（CS）算法的混合。最后，将所提出的工作的性能与其他常规模型进行比较和证明。