Wireless Sensor Network (WSN) is used in many applications for different roles, such as monitoring, data transmitting, information gathering, and so on. However, managing energy in WSN is a critical task. To end this issue several clustering and heuristic strategies were constructed still, a suitable solution is not found. So the current research proposed a novel African Buffalo based Two Tier Data Dissemination (AB-TTDD) strategy to monitor the energy drained node in an earlier stage before the data transmission. The fitness function of African Buffalo model is utilized to recognize the harmful and energy drained nodes in an earlier stage. Furthermore, a novel Temporary Energy Mapping Algorithm (TEMA) is developed to maintain the route by creating the reference node instead of energy drained node. This novel proposed mechanism has reduced the packet flow ratio and power consumption in a high manner. At the same time, it enhanced the energy intensity of sensor hubs by mounting its lifetime and affording the reroute. Subsequently, the capability of the proposed strategy is validated with the recent research works and achieved better performance by reducing energy consumption and packet drop ratio.

无线传感器网络（WSN）在许多应用程序中用作不同的角色，例如监视，数据传输，信息收集等。但是，在WSN中管理能源是一项关键任务。为了解决这个问题，仍然构建了一些聚类和启发式策略，但找不到合适的解决方案。因此，当前的研究提出了一种新颖的基于非洲水牛城的两层数据分发（AB-TTDD）策略，以在数据传输之前的早期阶段监视能量消耗节点。非洲水牛城模型的适应度函数用于在较早阶段识别有害和耗能的节点。此外，开发了一种新颖的临时能量映射算法（TEMA），以通过创建参考节点而不是能量消耗节点来维护路线。提出的这种新颖的机制以很高的方式降低了数据包流率和功耗。同时，通过延长其使用寿命并进行重新布线，它提高了传感器集线器的能量强度。随后，所提出的策略的能力在最近的研究工作中得到了验证，并通过降低能耗和丢包率获得了更好的性能。