Adaptive Power Control for mutual Interference Avoidance in Industrial Internet-of-Things

来源 :中国通信 | 被引量 : 0次 | 上传用户:okzzh
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
With the vigorous development of the Internet of Things and 5G technology, such as machine-to-machine and device-todevice, all kinds of data transmission including environmental monitoring and equipment control strengthens the key role of wireless sensor networks in the large-scale wireless communication system. However, especially in the complex industrial wireless applications, the low utilization efficiency of the limited wireless radio resource enhances the coexistence problem between heterogeneous networks. In this paper, from the severe mutual interference point of view, a mathematical model regarding cumulative interferences in the industrial wireless sensor networks is described. Then, from the perspective of mutual interference avoidance, an adaptive power control scheme is proposed in order to handle the normal communication needs on both the primary link and the secondary link. At last, nonlinear programming is taken to solve the corresponding optimization problem. Some typical analyses are given to verify the effectiveness of the proposed scheme on optimizing the tradeoff between the system throughput and energy consumption. Especially, the energy-efficiency of the novel scheme for Industrial Internet of Things is also analysed. Results show that the proposed power control is efficient. The throughput could be enhanced and the energy consumption could be reduced with the guarantee of mutual interference avoidance. With the vigorous development of the Internet of Things and 5G technology, such as machine-to-machine and device-to-device, all kinds of data transmission including environmental monitoring and equipment control strengthens the key role of wireless sensor networks in the large-scale wireless However, especially in the complex industrial wireless applications, the low utilization efficiency of the limited wireless radio resource enhances the coexistence problem between heterogeneous networks. In this paper, from the severe mutual interference point of view, a mathematical model for cumulative interferences in the industrial wireless sensor networks is described. Then, from the perspective of mutual interference avoidance, an adaptive power control scheme is proposed in order to handle the normal communication needs on both the primary link and the secondary link. At last, nonlinear programming is taken to solve the corresponding optimization problem. Some typi cal analyzes are given to verify the effectiveness of the proposed scheme on optimizing the tradeoff between the system throughput and energy consumption. Especially, the energy-efficiency of the novel scheme for Industrial Internet of Things is also analysed. is efficient. The throughput could be enhanced and the energy consumption could be reduced with the guarantee of mutual interference avoidance.
其他文献
众所周知,机器的折旧是有形损耗和无形损耗共同作用的结果。《资本论》中对无形磨损有这样的描述,“原来40000镑的车厢和机车,10年后,通常可以用30000镑买到。”这类现象在
介绍了ITU-TFGNGN研究组第3次会议WGl-WG7工作组讨论的会议文稿及对中国代表团文稿的处理情况。 Introduced the conference manuscripts discussed at the WG1-WG7 working
3月11日,华盛顿大学中国校友会在钓鱼台国宾馆举行欢迎酒会,欢迎华盛顿大学经济系教授、1993年诺贝尔经济学奖获得者诺斯。欢迎仪式由北京大学生命科学院院长陈章良教授主持
<正> 宋代是古代花鸟画空前发展并取得重大成就的时期。花鸟画经唐和五代的发展至宋中期,风格发生了一个重大变化,在这之前是重实尚法,以后逐渐向抒情尚意方向发展,从宋画院
期刊