实施无线传感器网络以预防铁路线路事故

Eman Elbehiry, Atef Salama, Fatma Moustafa, Islam Ibrahim
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摘要

本研究提出了一种具有出色吞吐量、可靠性和能效的无线局域网(WSN)路由协议。为了降低能耗和延长网络寿命,该协议采用了多跳拓扑结构。该协议建议使用成本函数选择父节点或转发器。利用建议的成本函数,选择剩余能量最高且最接近水槽的父节点。距离参数能保证数据包成功传送到水槽,而剩余能量参数则能平衡传感器节点之间的能量消耗。仿真结果表明,建议的协议最大限度地延长了节点的正常运行时间和网络稳定性。更长的稳定时间可使数据包更快地传送到汇接收器,这对于持续的病人监测尤为理想。本研究的技术基础涵盖了传感器的位置、基站和传感器节点的结构、路由协议、信号采集和传输以及在线监测系统的设置。研究人员利用一个现实的网状传感系统,对基于路由算法的列车监控线性网络拓扑结构进行了评估。结果显示,多跳拓扑在剩余能量水平、吞吐量和端到端延迟方面的表现优于传统拓扑。仿真结果表明,我们的协议方法最大限度地提高了网络稳定性和节点正常运行时间。更长的稳定性持续时间会带来更高的数据包传输速率,这对于持续的病人监测来说是非常理想的。
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Wireless Sensor Network Implementation to Prevent Railway Route Accident
A Wireless Area Network (WSN) routing protocol with excellent throughput, reliability, and energy efficiency is presented in this study. In order to lower energy consumption and lengthen network lifetime, multi-hop topology is used. It recommends choosing a parent node or forwarder by using a cost function. The parent node with the highest residual energy and closest proximity to the sink is selected using the suggested cost function. While the distance parameter guarantees successful packet delivery to the sink, the residual energy parameter balances the energy consumption among the sensor nodes. The simulation results show that the proposed protocol maximizes node uptime and network stability. Longer stability periods lead to higher packet delivery to sink, which is particularly desirable for continuous patient monitoring. The location of sensors, the architecture of base stations and sensor nodes, routing protocols, signal collecting and transmission, and the setup of an online monitoring system are all covered in this study's technological foundation. A realistic mesh sensing system has been used to study the evaluation of linear network topologies based on routing algorithms for train monitoring. According to the results, multi-hop topology performs better than conventional in terms of residual energy level, throughput, and end-to-end delay. The simulation results show that our protocol approach maximizes both network stability and node uptime. Higher packet delivery to sink is the result of longer stability durations, and this is highly desirable for ongoing patient monitoring.
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