An Optimal Base Stations Positioning for the Internet of Things Devices

Abderrahim Zannou, Abdelhak Boulaalam, E. Nfaoui
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引用次数: 3

Abstract

Internet of Things (IoT) consists of an enormous number of devices and networks. The IoT's principal parameters are energy consumption, network lifetime, processing capacity, data collection, and data delay. Data transmission from nodes via multi-hop communication to a base station (BS) is expensive in terms of delay and energy consumption, where the nodes near the base station will consume more energy than others. To resolve this problem, we deal with the placement of multiple base stations; the objective is to make the most of nodes connected to base stations via one-hop communication and other nodes via an optimal path. To do this, we improved an algorithm of clustering to be suitable to our scenario to make the most of nodes connected to BS via one-hop, and a new method allows the out-clustering nodes to be connected via an optimal path. The simulation results on real data sets show that our proposed approach has a high performance in accuracy, energy consumption, network lifetime, and data delay.
面向物联网设备的最佳基站定位
物联网(IoT)由大量的设备和网络组成。物联网的主要参数是能耗、网络生命周期、处理能力、数据采集和数据延迟。从节点通过多跳通信传输数据到基站(BS)在延迟和能耗方面是昂贵的,其中靠近基站的节点将比其他节点消耗更多的能量。为了解决这个问题,我们处理了多个基站的放置;目标是使大多数节点通过一跳通信连接到基站,并使其他节点通过最优路径连接到基站。为了做到这一点,我们改进了一种适合我们场景的聚类算法,使大多数节点通过一跳连接到BS,并且一种新的方法允许聚类外节点通过最优路径连接。在实际数据集上的仿真结果表明,该方法在精度、能耗、网络寿命和数据延迟方面具有较高的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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