Ye Jun, Jiang Weili
Key Laboratory of Internet Information Retrieval of Hainan Province, School of Cyberspace Security, Hainan University, 58 Renmin Avenue, Haikou 570228, China.
Sensors (Basel). 2024 Nov 28;24(23):7614. doi: 10.3390/s24237614.
Underwater wireless sensor networks have a wide range of application prospects in important fields such as ocean exploration and underwater environment monitoring. However, the influence of complex underwater environments makes underwater wireless sensor networks subject to many limitations, such as resource limitation, channel openness, malicious attacks, and other problems. To address the above issues, we propose a routing scheme for underwater wireless networks based on a trust model and Void-Avoided algorithm. The proposed scheme establishes a trust model, evaluates the behavior of underwater nodes through direct trust, indirect trust, and environmental trust, and finds malicious nodes while taking into account evaluation of the channel, which provides support for the next data transmission event. The proposed scheme prioritizes the total cabling distance and introduces a two-hop availability checking model for data transmission, checking the nodes for voids and avoiding the void areas, to find the transmission path with the lowest energy consumption and lowest latency as much as possible. In this study, simulation experiments were conducted on the proposed scheme, and the results showed that the target scheme can effectively detect malicious nodes through anomalous behaviors and outperforms existing work in terms of malicious node detection rate, energy consumption, and end-to-end latency, and network performance.
水下无线传感器网络在海洋探索和水下环境监测等重要领域具有广泛的应用前景。然而，复杂水下环境的影响使得水下无线传感器网络受到诸多限制，如资源限制、信道开放性、恶意攻击等问题。为解决上述问题，我们提出一种基于信任模型和避空洞算法的水下无线网络路由方案。该方案建立信任模型，通过直接信任、间接信任和环境信任评估水下节点的行为，并在考虑信道评估的同时找出恶意节点，为下一次数据传输事件提供支持。该方案将总布线距离作为优先考虑因素，并引入两跳可用性检查模型进行数据传输，检查节点是否存在空洞并避开空洞区域，以尽可能找到能耗最低、延迟最低的传输路径。在本研究中，对所提方案进行了仿真实验，结果表明目标方案能够通过异常行为有效检测恶意节点，在恶意节点检测率、能耗、端到端延迟以及网络性能方面均优于现有工作。
