Wireless Sensor Network (WSN) based Communication has been devised for exchanging data with low cost, minimal maintenance, and for more convenience. These communications are used in various applications like monitoring, surveillance, defence, healthcare, automation etc. Several routing protocols had been proposed for energy efficient wireless communication and to prolong the network life time. In such protocols, the network design plays a vital role in improving the network performance. The communication strategy among the sensor nodes depend on network design criteria. The paper therefore, presents a novice hierarchical structure based network design and energy efficient routing method for WSN. Here the clusters are formed using fuzzy-multi-criteria decision approach and cluster heads are optimally selected using Analytical Hierarchy Process. The Penguin Search Optimization Algorithm is used for diversified and intensified strategic planning for both intra-cluster and inter-cluster communication. The proposed technique is compared with existing techniques on multiple parameters and found to perform better. It shows a throughput of 0.95 Mbps and minimal energy consumption of 0.35mj and proving it to be energy efficient.

基于无线传感器网络（WSN）的通信已被设计用于以低成本，最少的维护和更多的便利来交换数据。这些通信用于各种应用，例如监视，监视，防御，医疗保健，自动化等。已经提出了几种路由协议，以实现节能的无线通信并延长网络寿命。在这样的协议中，网络设计在提高网络性能方面起着至关重要的作用。传感器节点之间的通信策略取决于网络设计标准。因此，本文提出了一种基于新手层次结构的WSN网络设计和节能路由方法。在这里，使用模糊多准则决策方法形成聚类，并使用层次分析法对聚类头进行最佳选择。企鹅搜索优化算法用于集群内和集群间通信的多样化和强化战略规划。将所提出的技术与现有技术在多个参数上进行比较，发现其性能更好。它显示出0.95 Mbps的吞吐量和0.35mj的最小能耗，并证明了它是节能的。