使用 SFRT 路由协议增强无线传感器网络中的安全和实时数据传输

R. Jayamala, A. S. Oliver, J. Jayanthi
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引用次数: 0

摘要

:无线传感器网络(WSN)使用传感器节点跟踪和记录环境变化。在设计传感器时,要考虑天线类型、组件、内存、寿命、安全性、计算能力、通信协议、能耗等。无线传感器网络(WSN)是临时性的。这种网络连接着微小的传感器节点,它们共享的资源很少(在节点层面都受到严重限制)。本文提出了一种安全快速实时(SFRT)路由协议,用于确保 WSN 中数据传输的实时性。所提出的方法不仅提高了 WSN 的可靠性,而且在传感器节点链路出现故障时提供了更稳健的解决方案。丢弃数据包、发起拒绝服务攻击、使用黑洞、发起选择性转发攻击以及用 hello 数据包淹没网络是一些建议的安全措施。它能在存在恶意节点的情况下保持较高的数据包吞吐量,同时只消耗很少的能量。模拟有助于检验建议的安全措施。在 NS2 仿真中,这种独特的方法在所有相关指标上都优于最先进的方法,包括网络寿命、数据包传输速率、能效、网络吞吐量和端到端传输延迟。与最佳方法相比,目前的大多数方法在宣布成功之前需要进行多次重传,数据传输成本增加了 5%。所提出的方法能够将网络寿命延长 20%,将总延迟时间缩短 30%,因此备受瞩目。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhanced Secured and Real-Time Data Transmissions in Wireless Sensor Networks using SFRT Routing Protocol
: Wireless Sensor Networks (WSN) track and record environmental changes using sensor nodes. When designing sensors, consider antenna type, components, memory, lifespan, security, computing power, communication protocol, energy consumption, etc. Wireless sensor networks (WSN) are ad hoc. This network links tiny sensor nodes that share few resources (both severely constrained at the node level). This paper proposed a Secure and Fast Real-Time (SFRT) Routing Protocol, which is used to secure real-time data transmissions in WSN. The proposed method not only increases the reliability of WSN but also offers a more robust solution in case a sensor node link fails. Discarding packets, launching a denial-of-service attack, using black holes, launching a selective forwarding attack, and flooding the network with hello packets are some proposed security measures. It maintains high packet throughput in the presence of malicious nodes while using little energy. Simulations have helped examine recommended safety measures. The unique approach outperformed state-of-the-art methods in the NS2 simulation in all relevant metrics, including network longevity, packet delivery rate, energy efficiency, network throughput, and end-to-end delivery latency. Most current methods necessitate multiple retransmissions before success is declared, increasing data transmission costs by 5% compared to the best approach. The proposed method is highlighted for its ability to increase network lifetime by 20% and reduce the total delay by 30%.
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