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首页> 外文期刊>International Journal of Engineering & Technology >DBac: deadline based data collection using CSMA/CD and earliest deadline first (EDF) scheduling in wireless sensor network
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DBac: deadline based data collection using CSMA/CD and earliest deadline first (EDF) scheduling in wireless sensor network

机译:DBac:使用CSMA / CD的基于截止日期的数据收集以及无线传感器网络中最早的截止日期优先(EDF)调度

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Wireless Sensor Network (WSN) has an enormous scope of utilizations in detecting different parameters such as temperature, pressure, sound, pollution, etc. The sensed data in each sensor node are a valuable one. To communicate the information to the base station for further processing, a lot of strategies are available. Each sensor senses the data in different sampling rate depending upon the sudden raise in the sensing parameters. Data communication to the base station is very critical due to the dynamicity of the environment during the stipulated time.The sensed data should reach the base station before the data becomes invalid due to the violation of the deadline. In order to avoid deadline violation so that the sensed data becomes useless, this paper proposing a novel data collection algorithm based on the popular Earliest Deadline First (EDF) scheduling algorithm. The various simulation parameters are taken into account to verify the performance of the proposed method and the result shows that it achieves high throughput, low delay, high Packet Delivery Ratio (PDR) and low energy consumption.
机译:无线传感器网络(WSN)在检测不同参数(例如温度,压力,声音,污染等)方面具有广泛的用途。每个传感器节点中的感测数据都是有价值的数据。为了将信息传达给基站以进行进一步处理,可以使用许多策略。每个传感器根据感测参数的突然升高以不同的采样率感测数据。由于在规定的时间内环境的动态性,与基站的数据通信非常关键。感测到的数据应在由于违反截止日期而变为无效之前到达基站。为了避免违反期限,使感测到的数据变得无用,本文提出了一种基于流行的最早期限优先(EDF)调度算法的新型数据收集算法。通过考虑各种仿真参数来验证该方法的性能,结果表明该方法实现了高吞吐率,低延迟,高分组传输比(PDR)和低能耗。

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