Seamless mobility management is an ability of the system to support the different services in personal area networks. A mobility management system is effectively designed for seamless mobile communication through the handover process. The handover is to transfer the data efficiently from one base station to another without any link failure. In order to improve the seamless data delivery with less handover delay, Fuzzy Signal Strength Estimation based on Stochastic Markov Graphical Model (FSSE-SMGM) is introduced in PAN. The PAN includes a number of mobile nodes. The mobile nodes are clustered in a more dynamic manner based on their communication range. Each cluster has a unique base station. When a mobile node moves out of its communication range, the centralized anchor node computes the Received Signal Strength (RSS) of the mobile nodes from the base station using two ray ground model. The model predicts the path losses between transmitting antenna and receiving antenna when they are in line of sight. FSSE-SMGM uses the fuzzy triangular membership function to evaluate the RSS with the threshold value. In addition, the direction angle’s degree of each mobile node from the current position towards the available base station is computed. Based on the signal strength and direction angle, the centralized anchor node switches the mobile node to the best available base station. Followed by, greater signaling cost is achieved during randomness nature over seamless mobility. After that, Stochastic Markov Graphical Model is used in FSSE-SMGM to improve the seamless data delivery through adjacent mobile nodes using state transition probability. The nodes with minimum distance are formed a chain with Markov property. This in turn minimizes the packet loss and ensures seamless data delivery between the mobile nodes. The simulations of proposed FSSE-SMGM and existing methods are carried out in terms of handover delay, seamless data delivery rate and data packet loss rate with respect to a number of data packets, and mobile speed. The simulation result shows that FSSE-SMGM improves the seamless data delivery rate and minimizes the data packet loss as well as handover delay.

无缝移动性管理是系统支持个人局域网中不同服务的能力。有效地设计了移动性管理系统，以通过切换过程实现无缝的移动通信。切换是将数据从一个基站有效传输到另一个基站，而不会发生任何链路故障。为了以较少的切换延迟来改善无缝数据的传递，在PAN中引入了基于随机马尔可夫图形模型（FSSE-SMGM）的模糊信号强度估计。PAN包括多个移动节点。根据移动节点的通信范围，它们以更动态的方式进行群集。每个群集都有一个唯一的基站。当移动节点超出其通信范围时，集中锚节点使用两个射线地面模型计算来自基站的移动节点的接收信号强度（RSS）。该模型预测了在视线范围内的发射天线和接收天线之间的路径损耗。FSSE-SMGM使用模糊三角隶属函数评估具有阈值的RSS。另外，计算每个移动节点从当前位置到可用基站的方向角的程度。基于信号强度和方向角，集中式锚点节点将移动节点切换到最佳可用基站。随后，在无缝移动性的随机性期间，实现了更高的信令成本。之后，FSSE-SMGM中使用了随机马尔可夫图形模型，以利用状态转移概率改善通过相邻移动节点的无缝数据传递。距离最小的节点形成具有马尔可夫性质的链。这进而使分组丢失最小化，并确保了移动节点之间的无缝数据传递。在切换延迟，无缝数据传输速率和相对于数据分组数量的数据分组丢失率以及移动速度方面，对提出的FSSE-SMGM和现有方法进行了仿真。仿真结果表明，FSSE-SMGM提高了无缝数据传输速率，并最大程度地减少了数据包丢失和切换延迟。这进而使分组丢失最小化，并确保了移动节点之间的无缝数据传递。在切换延迟，无缝数据传输速率和相对于数据分组数量的数据分组丢失率以及移动速度方面，对提出的FSSE-SMGM和现有方法进行了仿真。仿真结果表明，FSSE-SMGM提高了无缝数据传输速率，最大程度地减少了数据包丢失和切换延迟。这进而使分组丢失最小化，并确保了移动节点之间的无缝数据传递。在切换延迟，无缝数据传输速率和相对于数据分组数量的数据分组丢失率以及移动速度方面，对提出的FSSE-SMGM和现有方法进行了仿真。仿真结果表明，FSSE-SMGM提高了无缝数据传输速率，最大程度地减少了数据包丢失和切换延迟。