传感器节点协助DTN进行灾后场景

A. Gupta, J. K. Mandal, Indrajit Bhattacharya
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引用次数: 0

摘要

容延迟网络作为异构网络环境中通信建立的促进者,可以为可能存在于DTN范围内的无线传感器网络提供有效的通信解决方案。无线传感器网络可以很容易地在DTN中找到,比如在淹没的地方或村庄等使用传感器部署临时创建的DTN。从这些被切断的地区收集信息对于提供有效的救援行动至关重要。目前的工作建议分配Delsar生命探测传感器,用于探测这些切断区域,以追踪被击中或被困的生命。已经使用了本地化技术来确定受害者的确切位置,以便能够有效地向他们提供适当的帮助。在分配传感器时,策略性地将一个或两个高功率标签传感器放置在从传感器收集数据的截止区域,并使用一些数据骡子从那里进一步收集数据。结果在NS2仿真器和实际现场实现中都得到了验证。结果表明,所提出的架构能够以超过70%的准确率预测生命的存在。这表明本文提出的WSN辅助DTN的新方案在灾害中实现与偏远地区的通信是可行和有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sensor node assisted DTN for a post-disaster scenario
A Delay Tolerant Network being a facilitator of communication establishment in heterogeneous networking environments may present an efficient solution of communication in a Wireless Sensor Network that may exist within the ambit of the DTN. WSNs may be found easily in a DTN like those temporarily created using sensor-deployment over drowned places or villages, etc. Collecting information from those cut-off areas is of utmost importance to provide efficient rescue and relief operation. Current work suggests distributing Delsar Life Detection Sensors for probing such cut-off areas for tracing of struck or trapped life. Localization techniques have been used to locate the exact positions of the victims so that appropriate help could be administered to them with efficiency. At the time of distributing the sensors, one or two tag sensors with high power are positioned strategically in the cut-off areas that collect data from the sensors and from where data is further collected using some data mules. The results have been obtained both over simulation in the NS2 simulator and over a practical field implementation. Results suggest that the proposed architecture is able to predict presence of life with more than 70 percent accuracy. This shows that the proposed novel solution to WSN assisted DTN is practicable and efficient for implementation during disasters to communicate with cut-off and far-off remote areas.
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