Mobile ad-hoc network (MANET) is an infrastructure-less network of mobile nodes, connected by wireless links. Although mobility is the key characteristic of MANETs, yet the frequent movement of nodes may lead to link failure. This frequent topology change due to evasive mobility is one of the primary reason of Quality of service (QoS) degradation in conventional MANETs. If link failure time of already established root is estimated in advance, data packet loss can be avoided by exploring alternate path well within time. Thus, accurate link failure time estimation is one of the key areas that have drawn the attention of researchers of the ad-hoc networking community. This paper outlines a least-square quadratic polynomial regression-based technique for estimating link failure time by using the signal strength of received data packets. The distance between the transmitting and receiving nodes is calculated from the received signal strength of data packets. The authors have generated an optimal error quadratic model between this node distance and data packet arrival time. After quadratic model formulation, the link failure time is estimated by finding the moment at which the maximum communication range will be achieved for considered transmitter–receiver pair. A detailed analysis has been done for observing the behaviour of link failure time estimation accuracy of the proposed technique with varying network parameters. The repercussion of mobility variation on estimated link failure time has also been analysed. The proposed technique has also been compared with an existing interpolation-based technique. Network Simulator 2.35 has been selected as the primary simulation tool along with BonnMotion and MOVE tool for various mobility scenarios generation.

移动自组织网络 (MANET) 是一种无基础设施的移动节点网络，通过无线链路连接。虽然移动性是 MANET 的关键特性，但节点的频繁移动可能导致链路故障。由于规避移动性导致的这种频繁的拓扑变化是传统 MANET 中服务质量 (QoS) 下降的主要原因之一。如果预先估计已经建立的根的链路故障时间，则可以通过及时探索替代路径来避免数据包丢失。因此，准确的链路故障时间估计是引起自组织网络社区研究人员关注的关键领域之一。本文概述了一种基于最小二乘二次多项式回归的技术，用于通过使用接收数据包的信号强度来估计链路故障时间。发送节点和接收节点之间的距离是根据数据包的接收信号强度计算得出的。作者已经在该节点距离和数据包到达时间之间生成了一个最优误差二次模型。在二次模型制定之后，通过找到所考虑的发射器-接收器对达到最大通信范围的时刻来估计链路故障时间。已经进行了详细的分析，以观察所提出的技术在不同网络参数下链路故障时间估计精度的行为。还分析了移动性变化对估计的链路故障时间的影响。所提出的技术也已与现有的基于插值的技术进行了比较。网络模拟器 2。