2020 VOL.3 Feb No.1

• Title: Research on Node Deployment Optimization of IoT Awareness Layer Based on NB-loT Technology
• Name: Julius Harriet
• Company: Vancouver Island University
• Abstract:

  Traditional IoT sensor-layer node deployment optimization methods have the disadvantage of poor optimization performance. To this end, this paper proposes research on NB-loT technology-based node deployment optimization for IoT sensor layers. The genetic algorithm is used to encode the nodes in the perception layer of the Internet of Things, and the initial population is determined. Based on the obtained encoding of the nodes in the perception layer and the determined initial population, a fitness function is designed, and the obtained fitness function is adopted as the goal. NB-loT technology realizes the optimization of node deployment in the IoT perception layer. It is obtained through experiments that the average node coverage optimization method of the proposed IoT sensor-layer deployment is 24% higher than the traditional method, indicating that the proposed IoT sensor-layer node deployment optimization method has better optimization performance.

• Keyword: IoT; perception layer; node; deployment; optimization;
• DOI: 10.12250/jpciams2020010131
• Citation form: Julius Harriet.Research on Node Deployment Optimization of IoT Awareness Layer Based on NB-loT Technology[J]. Computer Informatization and Mechanical System, 2020, vol. 3, pp. 34-40.

[1] Zhang Quan. Technical Performance and Application of the Honeycomb-based Narrow Band Internet of Things (NB-loT)[J].Science and Technology Communication, 2017, 9(20): 12-15. 

[2] Zhu Weimin, Yao Yuhua. Analysis on Coverage Enhancement Technology of NB-loT Internet of Things [J]. Wireless Interconnection Technology, 2017, 16 (8): 28-29. 

[3] Wu Jie, Cheng Wei, Liang Yue. Discussion on the deployment strategy of NB-IoT and eMTC for operator cellular Internet of Things [J]. China New Communications, 2016, 18 (23): 64-65. 

[4] Ye Yujian, Jiang Song, Xing Liang, et al. End-to-end deployment strategy of NB-loT [J]. Guangdong Communications Technology, 2018, 26 (2): 51-53.

[5] Wang Jianxing. Discussion on Coverage Enhancement Technology of NB-LoT Internet of Things [J].Communication World, 2017,31(23): 3-4. 

[6] Xing Yulong, Hu Yun. Narrow-band Internet of Things Deployment Strategy [J]. Information and Communication Technology, 2017, 62 (1): 33-39.

[7] Wang Yongbin, Zhang Zhongping. Low power, Dalian Wide Area Internet of Things access technology and deployment strategy [J]. Information and Communication Technology, 2017, 52 (1): 27-32.

[8] Liao Mingjun, Jiang Shiping. Business Application of Narrow Band Internet of Things (NB-loT) [J].Information Communication, 2017,50(10): 254-255. 

[9] Hu Yonghu, Yu Hongtao. Brief analysis of the application of NB-loT technology in the field of intelligent water meters [J].Digital World, 2017,24(6): 157-158. 

[10] Shuaijing. Development and deployment of NB-IOT based on NFV virtualization [J].Digital Technology and Applications, 2016,91(11): 35-35. 

[11] Wang Lili, Sangyuan. Improvement of three-dimensional deployment of network nodes in wireless network environment [J]. Computer simulation, 2016, 33 (7): 285-288.

[12] Cui Bin, Wang Min. An Optimal Deployment Strategy for Wireless Sensor Networks Based on Virtual Force-Oriented Genetic Algorithms [J]. Electronic Design Engineering, 2017, 25 (7): 87-91.