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TMSE: A topology modification strategy to enhance the robustness of scale-free wireless sensor networks
Computer Communications ( IF 4.5 ) Pub Date : 2020-04-09 , DOI: 10.1016/j.comcom.2020.04.007
Shihong Hu , Guanghui Li

Scale-free wireless sensor networks (WSNs) are tolerant to random attacks but vulnerable to malicious attacks. With the increase of cyber-attacks, improving the survivability and robustness is critical to scale-free WSNs. This paper introduces a scale-free topology evolution mechanism (SFTEM) for WSNs, and the evolution model considers the fault probability of nodes as well as the communication range. Then, a new topology modification strategy for enhancing the robustness of scale-free WSNs is presented, namely TMSE. Different from previous works, we consider different types of malicious attack into the algorithm design, making the TMSE more resistant to realistic attacks. Besides, TMSE consists of two operations, in which the high degree operation (HDO) changes the network connections among high degree nodes base on the probability of being attacked, and the degree associativity operation (DAO) transforms the network topology into the onion-like structure using its degree–degree correlation. Meanwhile, all the nodes modified by TMSE maintain the node degree, thus the final topology preserves scale-free properties. Simulation results demonstrate that the network topology generated by SFTEM has the scale-free characteristics, and its robustness can be effectively improved by TMSE, compared to the existing algorithms.



中文翻译:

TMSE:一种拓扑修改策略,可增强无标度无线传感器网络的鲁棒性

无标度无线传感器网络(WSN)可以承受随机攻击,但容易受到恶意攻击。随着网络攻击的增加,提高生存能力和健壮性对于无规模无线传感器网络至关重要。本文介绍了无线传感器网络的无标度拓扑演化机制(SFTEM),该演化模型考虑了节点的故障概率以及通信范围。然后,提出了一种用于增强无标度无线传感器网络鲁棒性的新拓扑修改策略,即TMSE。与以前的工作不同,我们在算法设计中考虑了不同类型的恶意攻击,这使得TMSE对实际攻击更具抵抗力。此外,TMSE包含两个操作,其中,高级操作(HDO)根据被攻击的概率改变高级节点之间的网络连接,而度关联操作(DAO)利用其度-度相关性将网络拓扑转换为洋葱状结构。同时,TMSE修改的所有节点都保持节点度,因此最终拓扑保留了无标度的属性。仿真结果表明,与现有算法相比,SFTEM生成的网络拓扑具有无标度特性,TMSE可以有效提高鲁棒性。因此,最终的拓扑保留了无标度的属性。仿真结果表明,与现有算法相比,SFTEM生成的网络拓扑具有无标度特性,TMSE可以有效提高鲁棒性。因此,最终的拓扑保留了无标度的属性。仿真结果表明,与现有算法相比,SFTEM生成的网络拓扑具有无标度特性,TMSE可以有效提高鲁棒性。

更新日期:2020-04-20
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