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AFL-TOHIP: Adaptive Fractional lion optimization to topology-hiding multi-path routing in mobile ad hoc network

机译:AFL-TAIH:移动临时网络中拓扑隐藏多路径路径的自适应分数狮子优化

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Mobile Ad-hoc Network (MANET) becomes the facilitating and emerging trends for data transmission. Due to the nodes are freely connected with each other, the challenging is to provide the secure transmission. To attain this objective, the Adaptive Fractional Lion TOpology-HIding multipath routing protocol (AFL-TOHIP) is proposed. The TOHIP protocol constitutes route request phase, route reply phase and route probe phase, to acquire the multiple numbers of disjoint paths in MANET. Consequently, the proposed algorithm is developed to select the optimal routing path. Here, the fractional calculus is utilized to integrate with the lion optimization algorithm. Then, the fractional lion algorithm is incorporated into the TOHIP protocol, named AFL-TOHIP. In addition to improve the solution searching, the fractional lion algorithm is mathematically integrated with the TOHIP protocol. In the proposed algorithm, the fractional derivative is adapted according to the generation of the solution. Finally, the optimal routing path is obtained, used to transmit the packets from source to destination node. The extensive experimental results are evaluated using MATLAB implementation. Then, the performance is analysed compared to existing algorithms. Thus, the novel AFL-TOHIP optimization algorithm achieves 0.603 throughputs and 0.572 less delay, which enhances the transmission efficiency and robustness.
机译:移动ad-hoc网络(MANET)成为数据传输的促进和新兴趋势。由于节点彼此自由连接,具有挑战性是提供安全传输。为了实现这一目标,提出了自适应分数狮子拓扑 - 隐藏多径路由协议(AFL-TOHIP)。 TOHHip协议构成路由请求阶段,路由回复阶段和路由探测阶段,以获取MANET中多个不相交的路径。因此,开发了所提出的算法以选择最佳路由路径。这里,分数微积分用于与狮子优化算法集成。然后,分数狮子算法被纳入TAHHIP协议,命名为AFL-TOHIP。除了改进解决方案搜索之外,分数狮子算法是用TOHHIP协议进行数学上集成的。在所提出的算法中,分数衍生物根据解决方案的产生来调整。最后,获得了最佳路由路径,用于将分组从源发送到目的地节点。使用MATLAB实施评估广泛的实验结果。然后,与现有算法相比,分析了性能。因此,新颖的AFL-TOHIP优化算法实现了0.603个吞吐量和0.572的延迟延迟,这提高了传输效率和鲁棒性。

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