Mobile ad hoc network (MANET) is arranged with multiple nodes that communicate wirelessly. However, MANET communication suffers from various issues such as inadequate security, low stability, high power consumption, and a lack of specific infrastructure of the network. Moreover, the route failure happened in the network due to the unrestricted node movement, which has increased energy utilization, delay, and reduced lifetime of the nodes. To overcome these issues, the novel Eagle Based Density Clustering (EBDC) approach is developed in this research that predicts the link failure and increased the lifetime of the nodes. Here, the developed EBDC approach is utilized for clustering and route maintenance in MANET for that it creates the nodes using the star topology. Initially, the developed approach selects the Cluster Head and transmits the message through the created path. Subsequently, the link failure is detected by the EBDC model, and it creates a new reference layer to replace the exhausted layer. Hence, the developed EBDC model has enhanced the network lifetime and reduced energy utilization. Furthermore, this model is implemented using Network Simulator 2, and the parameters like accuracy, energy consumption, Packet Delivery Ratio, network lifetime, end-to-end delay, and throughput are calculated. Additionally, the attained outcomes are compared with prevailing methods for evaluating the efficiency of the developed approach.

移动自组织网络（MANET）安排有多个无线通信节点。然而，MANET通信遭受诸如安全性不足，稳定性低，功耗高以及缺乏网络的特定基础设施之类的各种问题。此外，由于节点移动不受限制，网络中发生了路由故障，这增加了能量利用率，延迟并缩短了节点的寿命。为克服这些问题，本研究开发了新颖的基于Eagle的密度聚类（EBDC）方法，该方法可预测链路故障并增加节点的寿命。在这里，开发的EBDC方法用于MANET中的群集和路由维护，因为它使用星形拓扑创建节点。原来，开发的方法选择簇头，并通过创建的路径传输消息。随后，EBDC模型检测到链路故障，并创建了一个新的参考层来替换耗尽的层。因此，开发的EBDC模型延长了网络寿命并降低了能源利用率。此外，该模型是使用网络模拟器2实现的，并计算了诸如准确性，能耗，数据包传输率，网络寿命，端到端延迟和吞吐量之类的参数。此外，将获得的结果与现行方法进行比较，以评估已开发方法的效率。开发的EBDC模型延长了网络寿命并降低了能源利用率。此外，该模型是使用网络模拟器2实现的，并计算了诸如准确性，能耗，数据包传输率，网络寿命，端到端延迟和吞吐量之类的参数。此外，将获得的结果与现行方法进行比较，以评估已开发方法的效率。开发的EBDC模型延长了网络寿命并降低了能源利用率。此外，该模型是使用网络模拟器2实现的，并计算了诸如准确性，能耗，数据包传输率，网络寿命，端到端延迟和吞吐量之类的参数。此外，将获得的结果与现行方法进行比较，以评估已开发方法的效率。