无线传感器网络路径分析的网络工具,以提高其性能

Santiago Felici-Castell, Enrique A. Navarro-Camba, J. Solano, Jaume Segura-García, Adolfo Pastor-Aparicio, M. García-Pineda
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引用次数: 0

摘要

无线传感器网络(wsn)基于微小的自主设备,通常称为mote或节点,用于许多监测应用,如环境,栖息地,精密园艺等。这些mote是功率有限的,并且在交换数据包的通信过程中浪费了大部分能量。由于这些节点非常简单,具有低功率传输和简单的天线,因此这些网络通常运行多跳路由协议,以便在一个节点之间将数据包转发到接收器或收集器节点,使用其他节点作为中继节点。基本上,这些路由协议试图在这些无线网络中找到新的路由,优化不同的标准,如跳数、网络生存时间、吞吐量等。但是,如果网络中出现问题(大干扰、某个节点出现问题、路由不稳定等),由于缺乏与管理目的相关的信息检索,很难修复,而且很多时候结果很关键,导致网络无法正常运行。为了避免这些问题,我们在本文中展示了一个用于WSN内部路径监控和分析的web工具,以提高它们的性能并提前计划这类问题。在本文中,我们展示了该工具在设计中的不同选择,以及在试图找出网络内部问题时应用的不同规则。在这种网络中,利用路由数据包,我们可以得到内部问题的进一步信息,并根据所应用的统计和规则进行推断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Web Tool for Path Analysis in Wireless Sensor Networks to Improve Their Performance
Wireless Sensor Networks (WSNs) are based on tiny autonomous devices, usually named motes or nodes, and are used in many monitoring applications, such as environment, habitat, precision horticulture, etc. These motes are power-limited and most energy is wasted through the communication process when exchanging data packets. Because these motes are quite simple, with low power transmission and simple antennas, these networks usually run multihop routing protocols in order to forward packets between one mote to the sink, or the collector node, using the other motes as relaying motes. Basically, these routing protocols try to find out new routes within these wireless network, optimizing different criteria, such as number of hops, network life time, throughput, etc. However, if something is going wrong within the network (big interferences, problems in one node, unstable routes, etc.), due to the lack of information retrieved related to management purpose, it is difficult to fix it and many times the outcome is critical, leaving the network out of service. To avoid these issues, we show in this paper a web tool for path monitoring and analysis within the WSN in order to improve their performance and to plan ahead this kind of problems. In this paper, we show the different alternatives in the design of this tool and the different rules applied when trying to find out the inner problems in the network. In this kind of network, using the routing packets, we can get further information of the inner problems and infer them based on the statistics and rules applied.
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