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Area coverage of heterogeneous wireless sensor networks in support of Internet of Things demands

机译:支持物联网需求的异构无线传感器网络的区域覆盖

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As the Internet of Things (IoT) evolves, more and more Wireless Sensor Networks (WSNs) are being deployed in the real world. Connected vehicles, smart grids, smart cities, smart healthcare, networks of robots, and disaster recovery networks are some examples. In WSNs, the area coverage is one of the most important quality of service metrics. A WSN without enough area coverage yields incorrect results. So calculating the covered area of a WSN is mandatory. Previous studies have used a simple approach: all nodes send their location to the sink, and it calculates the covered area centrally which makes huge unnecessary communication overhead. In our previous work titled Distributed Exact Coverage Rate Calculation, we calculated the covered area of a homogenous WSN in a distributed manner. In this paper, we provide a Heterogeneous Distributed Precise Coverage Rate (HDPCR) mechanism that calculates the covered area of a Heterogeneous Wireless Sensor Network by using a localized mechanism. With the use of boundary detection mechanisms, the HDPCR detects the boundary of the network and calculates its area. HDPCR also detects holes and calculates their area precisely. By subtracting these two calculated values, the covered area of the network can be computed. Many related studies have evaluated the coverage rate approximately with error and require more calculations to reduce the error rate. HDPCR calculates the coverage rate precisely without an error rate using simple arithmetic calculations. The exhaustive simulation also shows the superiority of HDPCR as compared to the previous approaches.
机译:随着物联网(IoT)的发展,越来越多的无线传感器网络(WSN)被部署在现实世界中。互联汽车,智能电网,智能城市,智能医疗保健,机器人网络和灾难恢复网络就是其中的一些例子。在WSN中,区域覆盖是最重要的服务质量指标之一。没有足够的区域覆盖范围的WSN会产生错误的结果。因此,必须计算WSN的覆盖区域。先前的研究使用了一种简单的方法:所有节点将其位置发送到接收器,并且它会集中计算覆盖区域,这将产生巨大的不必要的通信开销。在我们之前的题为《分布式精确覆盖率计算》中,我们以分布式方式计算了同质WSN的覆盖面积。在本文中,我们提供了一种异构分布式精确覆盖率(HDPCR)机制,该机制通过使用局部机制来计算异构无线传感器网络的覆盖区域。通过使用边界检测机制,HDPCR可以检测网络的边界并计算其面积。 HDPCR还可以检测孔并精确计算其面积。通过减去这两个计算值,可以计算网络的覆盖区域。许多相关研究已经对覆盖率进行了近似评估,但存在误差,因此需要进行更多计算以降低误差率。 HDPCR使用简单的算术计算即可精确计算覆盖率,而无误码率。与先前的方法相比,详尽的模拟还显示了HDPCR的优越性。

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