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Localization algorithms based on hop counting for Wireless Nano-Sensor networks

机译:无线跳频传感器网络中基于跳数的定位算法

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Wireless Nano-Sensor networks (WNSN) consist of nanosensors equipped with nanotransceivers and nanoantennas to operate in Terahertz frequency band (0.1–10THz). Due to the peculiarities of this communication channel (such as, very short range of transmission (under lm), high interference, high path loss) and limited capabilities of nano-nodes (such as, computing, sensing, memory, energy), the existing ranging techniques designed for traditional wireless sensor networks are not longer used in the WNSNs. In this paper, two ranging algorithms based on hop-counting methods are developed to estimate the location of every nanosensor within certain area and distance between nodes in the networks. The first technique uses flooding mechanism to forward the packets to all nodes in the networks and count number of hops between two measured nodes. To overcome the problems of high overhead, duplication packets, and waste of consumption energy, the second algorithm based on clusters is developed. In this way, all sensornodes are grouped into different clusters. Cluster heads will communicate together and count the number of hops. The performance of the algorithms are analyzed in terms of estimated distance, delay by taking also account the energy constrains of nanosensors. The simulation results show that, by being aware of the limitations of nanosensors, the proposed protocols are able to support WNSNs with very high density in ranging and localizing.
机译:无线纳米传感器网络(WNSN)由配备有纳米收发器和纳米天线的纳米传感器组成,可在太赫兹频带(0.1–10THz)中运行。由于该通信通道的特殊性(例如,传输范围很短(1m以下),高干扰,高路径损耗)以及纳米节点的能力有限(例如,计算,传感,内存,能量), WNSN中不再使用为传统无线传感器网络设计的现有测距技术。在本文中,开发了两种基于跳数计数法的测距算法,以估计特定区域内每个纳米传感器的位置以及网络中节点之间的距离。第一种技术使用泛洪机制将数据包转发到网络中的所有节点,并对两个被测节点之间的跳数进行计数。为了解决高开销,重复数据包和浪费能源的问题,提出了第二种基于聚类的算法。这样,所有传感器节点都被分组为不同的簇。群集头将一起通信并计算跃点数。通过考虑纳米传感器的能量约束,根据估计的距离,延迟来分析算法的性能。仿真结果表明,通过意识到纳米传感器的局限性,所提出的协议能够在测距和定位中支持非常高密度的WNSN。

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