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Unmanned Aerial Vehicle based Reliable and Energy Efficient Data Collection from Red Alerted Area using Wireless Sensor Networks with IoT

机译:使用带物​​联网的无线传感器网络从红色预警区域基于无人机的可靠和节能数据收集

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摘要

Most important characteristics of the Wireless Sensor Networks (WSNs) is self-configuration, in which each deployed sensor node configures itself with neighbor node and establishes the network topology. In the proposed work, an Unmanned Aerial Vehicle (UAV) based Reliable and Energy Efficient Data Collection Mechanism (REEDCM) is introduced using Wireless Sensor Networks with the Internet of Things (IoT). It mainly focuses on the effective data collection from the man un-attended area (i.e., red alerted area) including nuclear disaster zone, volcanic eruption, forest fire, and battlefield, etc. Battery energy is a major constraint of the WSNs, thus an efficient data collection mechanism is needed to enhance the energy efficiency and scalability. In REEDCM, a novel clustering mechanism is presented which selects the Cluster Head (CH) based on the residual energy, speed and number of neighbors. Besides, the UAV Data Collector (UAV_DC) is used to gather the data directly from the CHs which in turn transmits the collected data to the Base Station (BS), then the BS shares the sensor information to the users through the Internet. From the simulation results, it is revealed that the proposed REEDCM provides better network performances in terms of average residual energy, average end-to-end delay, Packet Delivery Ratio (PDR) and throughput.
机译:无线传感器网络(WSN)的最重要特征是自配置,其中每个部署的传感器节点都与邻居节点进行自我配置并建立网络拓扑。在拟议的工作中,使用了带有物联网(IoT)的无线传感器网络,介绍了基于无人机(UAV)的可靠节能数据收集机制(REEDCM)。它主要侧重于从无人值守区域(即红色预警区域)收集有效的数据,包括核灾区,火山爆发,森林火灾和战场等。电池能量是无线传感器网络的主要限制因素,因此,需要有效的数据收集机制来提高能源效率和可伸缩性。在REEDCM中,提出了一种新颖的聚类机制,该机制根据剩余能量,速度和邻居数选择簇头(CH)。此外,UAV数据收集器(UAV_DC)用于直接从CH收集数据,然后将收集的数据发送到基站(BS),然后BS通过Internet将传感器信息共享给用户。从仿真结果可以看出,所提出的REEDCM在平均剩余能量,平均端到端延迟,分组传输率(PDR)和吞吐量方面提供了更好的网络性能。

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