声学传感器数据传输完整性和耐用性与物联网支持的位置感知框架
Shujaat Ali1, Muhammad Nadeem1, Sheeraz Ahmed2
1Department of Computer Science, Faculty of Computing and Information Technology, International Islamic University, Islamabad, Punjab, Pakistan.
PeerJ. Computer science
|February 3, 2025
概括
本研究介绍了一种基于物联网 (IoT) 的位置感知框架 (ILAF) 用于水下声学传感器网络 (UASN). ILAF提高了网络性能,降低了能源消耗,并改善了实时应用程序的数据传输.
科学领域:
- 水下声学传感器网络 (UASN) 是指水下声学传感器网络.
- 物联网 (IoT) 应用程序物联网 (IoT) 应用程序
- 环境监测和减轻灾害的影响.
背景情况:
- 无人机网络面临着诸如高延迟,有限的带宽和能源限制等挑战.
- 现有的协议在水下环境中难以优化性能.
- GPS调制解调器通常不适合用于水下节点定位.
研究的目的:
- 引入一个物联网驱动的位置意识框架 (ILAF) 以提高UASN的性能.
- 在没有GPS调制解调器的情况下实现位置确定和邻居识别.
- 优化节点放置和路由,以提高能源效率和可靠性.
主要方法:
- 开发了一个物联网驱动的位置意识框架 (ILAF),使用非GPS地理坐标.
- 基于坐标和传输范围实现了邻居识别.
- 在框架内优化节点放置和路由策略.
主要成果:
- 伊拉夫实现了99%的数据包交付率 (PDR),超过了现有的协议.
- 与最先进的协议相比,能源消耗减少了20%.
- 这导致了更少的死节点 (12 个1000 轮之后) 和更高的吞吐量 (5.7 kbps).
结论:
- ILAF显著提高了UASN的性能,提供了卓越的能源效率和数据可靠性.
- 该框架适用于需要强大的通信的实时水下应用.
- 未来的工作包括整合轻量级物联网协议 (MQTT,CoAP) 以进一步改进.
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