基于CC1310芯片的多通道高速率低功耗无线传感系统

段瑞枫; 吕燕洁; 杜文基; 周游

doi:10.13700/j.bh.1001-5965.2021.0682

基于CC1310芯片的多通道高速率低功耗无线传感系统

doi: 10.13700/j.bh.1001-5965.2021.0682

段瑞枫^{1, 2, ,},
吕燕洁³,
杜文基^{4, 5},
周游⁶

1.
北京林业大学信息学院, 北京 100083
2.
国家林业草原林业智能信息处理工程技术研究中心, 北京 100083
3.
北京航空航天大学电子信息工程学院, 北京 100191
4.
中国科学院计算机网络信息中心, 北京 100190
5.
中国科学院大学计算机科学与技术学院, 北京 100049
6.
芯擎科技有限公司, 北京 100012

基金项目:

中央高校基本科研业务费专项资金 BLX201623

北京市自然科学基金 L202003

国家自然科学基金 31700479

详细信息

通讯作者:
段瑞枫, E-mail: drffighting2008@163.com

中图分类号: TN914.5;TN924
计量
- 文章访问数: 424
- HTML全文浏览量: 138
- PDF下载量: 30
- 被引次数: 0
出版历程
- 收稿日期: 2021-11-11
- 录用日期: 2022-02-13
- 网络出版日期: 2022-03-09
- 整期出版日期: 2022-11-20

Multi-channel wireless sensor system based on CC1310 chip wtih high speed and low power consumption

DUAN Ruifeng^{1, 2
, ,},
LYU Yanjie³,
DU Wenji^{4, 5},
ZHOU You⁶

1.
School of Information Science and Technology, Beijing Forestry University, Beijing 100083, China
2.
Engineering Research Center for Forestry-oriented Intelligent Information Processing of National Forestry and Grassland Administration, Beijing 10008
3.
School of Electronics and Information Engineering, Beihang University, Beijng 100191, China
4.
Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China
5.
School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
6.
SiEngine Technology Co., Ltd., Beijing 100012, China

Funds:

The Fundamental Research Funds for the Central Universities BLX201623

Beijing Natural Science Foundation L202003

National Natural Science Foundation of China 31700479

More Information

Corresponding author: DUAN Ruifeng, E-mail: drffighting2008@163.com

摘要

摘要:
为有效减轻新一代运载火箭传感器数据采集与传输系统的质量, 设计并实现了基于CC1310芯片的无线传感器系统。采用频分复用(FDM)结合时分复用(TDM)的方式完成多节点组网并实施分组管理, 组间频分复用既实现了节点数的扩增, 又提升了传输速率复用倍数, 分组数为4时子节点数量可达100个以上。提出主节点授时法结合多节点分时传输协议的优化设计方法, 保证多节点高精准同步, 避免节点间碰撞, 获得了最优的组内可达速率；设计节点唤醒/休眠模式切换策略, 有效降低了系统功耗。实测结果表明：2个主节点带5个子节点并行工作时, 传输速率可达400 Kbps, 且主节点数量增加时, 系统的传输速率成比例增大；单个子节点忙时功耗不超过60 mW, 闲时功耗不超过12 mW, 平均功耗为15.2 mW, 符合低功耗要求；同时, 所设计的无线传感系统具备良好的可靠性和鲁棒性。
- CC1310 /
- 无线组网通信 /
- 时间同步 /
- 高速率 /
- 低功耗
Abstract:
In order to effectively reduce the weight of sensor data acquisition and transmission system for the new-generation launch vehicle, a wireless sensor system based on chip CC1310 was designed and implemented. Multi-node networking and group management are accomplished using frequency division multiplexing (FDM) and time division multiplexing (TDM). The FDM scheme among groups not only increases the number of nodes, but also improves the transmission rate multiplexing multiple. When there are four groups, the system is capable of supporting more than 100 sub-nodes. In order to ensure high precision synchronization of multi-nodes, avoid node collisions, and obtain the optimal intra-group achievable rate, we also suggested an optimal method of master node timing in combination with a multi-node time-sharing transfer protocol. Moreover, a node wake-up/idle mode switching strategy is designed to reduce system power consumption effectively. The experimental results show that the transmission rate can reach 400 Kbps when two master nodes work in parallel with five sub-nodes, and the transmission rate will increase proportionally when the number of master nodes rises. The power consumption of the single sub-node is less than 60 mW during work hours and less than 12 mW during idle hours. The average power consumption of the single sub-node is 15.2 mW, which meets the requirements of low power consumption. At the same time, the wireless sensor system designed in this paper has good reliability and robustness.
- CC1310 /
- wireless network communication /
- time synchronization /
- high rate /
- low power consumption

HTML全文

图 1 系统整体结构

Figure 1. Overall structure of system

下载: 全尺寸图片幻灯片

图 2 无线网络组网示意图

Figure 2. Schematic of wireless network

下载: 全尺寸图片幻灯片

图 3 系统周期性授时同步示意图

Figure 3. Schematic of system periodic timing synchronization

下载: 全尺寸图片幻灯片

图 4 最小保护间隔与授时周期的关系

Figure 4. Relationship between minimum protection interval and timing period

下载: 全尺寸图片幻灯片

图 5 系统各节点时钟同步示意图

Figure 5. Schematic of system nodes clock synchronization

下载: 全尺寸图片幻灯片

图 6 单频段可达的传输速率

Figure 6. Achievable transmission rate on single frequency

下载: 全尺寸图片幻灯片

图 7 主节点状态转移图

Figure 7. Master node state transition diagram

下载: 全尺寸图片幻灯片

图 8 子节点状态转移图

Figure 8. Sub-node state transition diagram

下载: 全尺寸图片幻灯片

图 9 单个子节点平均功耗

Figure 9. The average power for a sub-node

下载: 全尺寸图片幻灯片

图 10 上位机软件运行工作图

Figure 10. Computer software operation diagram

下载: 全尺寸图片幻灯片

图 11 子节点6传输速率随距离变化的测试结果

Figure 11. Test result of transmission rate for single sub-node 6 with changing distance

下载: 全尺寸图片幻灯片

表 1 传感器子节点采集信号与采样率

Table 1. Acquisition signals and sampling rates of sensor sub-nodes

组别(频段/MHz)	子节点编号	模拟信号源	采样率/Hz
	1	电池电压	320
第1组(868)	2	1 kHz正弦波	5 120
	4	湿度传感器	320
第2组(915)	6	温度传感器	320
	8	电池电压	320

下载: 导出CSV

表 2 子节点传输速率

Table 2. The transmission rate of sub-nodes

组别(频段/MHz)	子节点编号	传输速率/bps	净荷传输速率/bps
	1	68 608	2 560
第1组(868)	2	66 560	40 960
	4	67 379	2 560
第2组(915)	6	100 147	2 560
	8	101 376	2 560
系统总速率		406 323	51 200

下载: 导出CSV

参考文献(18)

[1]	PATEL N R, KUMAR S. Wireless sensor networks' challenges and future prospects[C]//International Conference on System Modeling & Advancement in Research Trends. Piscataway: IEEE Press, 2018: 60-65.
[2]	CARMINATI M, KANOUN O, ULLO S L, et al. Prospects of distributed wireless sensor networks for urban environmental monitoring[J]. IEEE Aerospace and Electronic Systems Magazine, 2019, 34(6): 44-52. doi: 10.1109/MAES.2019.2916294
[3]	WU J, JIANG W, MEI Y, et al. A survey on the progress of testing techniques and methods for wireless sensor networks[J]. IEEE Access, 2019, 7: 4302-4316. doi: 10.1109/ACCESS.2018.2887246
[4]	罗煜缤, 李洪, 周广铭, 等. 新一代箭载无线传感器网络系统架构综述[J]. 宇航计测技术, 2020, 40(4): 1-6. https://www.cnki.com.cn/Article/CJFDTOTAL-YHJJ202004001.htm LUO Y B, LI H, ZHOU G M, et al. Review on the system architecture of new generation wireless sensor network for rocket[J]. Journal of Astronautical Metrology and Measurement, 2020, 40(4): 1-6(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-YHJJ202004001.htm
[5]	WANG Y, LU J, HAO C, et al. Applicable to launch vehicle data integrated design method of wireless sensor network research[C]//2018 Eighth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC). Piscataway: IEEE Press, 2018: 221-225.
[6]	WANG H, ZENG H, PING W. Linear estimation of clock frequency offset for time synchronization based on overhearing in wireless sensor networks[J]. IEEE Communications Letters, 2016, 20(2): 288-291. doi: 10.1109/LCOMM.2015.2510645
[7]	LEANDRO T B, TALES H, EDISON P. Enhancing time synchronization support in wireless sensor networks[J]. Sensors, 2017, 17(12): 2956. doi: 10.3390/s17122956
[8]	ABDULKAREM M, SAMSUDIN K, ROKHANI F Z, et al. Wireless sensor network for structural health monitoring: A contemporary review of technologies, challenges, and future direction[J]. Structural Health Monitoring, 2020, 193: 693-735.
[9]	SUN X, SU Y, HUANG Y, et al. Design and development of a wireless sensor network time synchronization system for photovoltaic module monitoring[J]. International Journal of Distributed Sensor Networks, 2020, 16(5): 1-8.
[10]	庄祎梦, 贺光辉, 陈洪涛, 等. 无线传感器网络高精度时间同步机制[J]. 信息技术, 2017(10): 1-4. https://www.cnki.com.cn/Article/CJFDTOTAL-HDZJ201710001.htm ZHUANG Y M, HE G H, CHEN H T, et al. Method of highly accurate time synchronization for wireless sensor networks[J]. Information Technology, 2017(10): 1-4(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-HDZJ201710001.htm
[11]	麦军, 邓巧茵, 万智萍. 基于CC2530的ZigBee无线组网温度监测系统的设计[J]. 电子设计工程, 2015, 23(22): 117-121. https://www.cnki.com.cn/Article/CJFDTOTAL-GWDZ201522037.htm MAI J, DENG Q Y, WAN Z P. A ZigBee wireless network temperature monitoring system based on CC2530[J]. Electronic Design Engineering, 2015, 23(22): 117-121(in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-GWDZ201522037.htm
[12]	SAHITYA G, BALAJI N, NAIDU C D, et al. Designing a wireless sensor network for precision agriculture using Zigbee[C]// IEEE International Advance Computing Conference. Piscataway: IEEE Press, 2017: 287-291.
[13]	NURGALIYEV M, SAYMBETOV A, YASHCHYSHYN Y, et al. Prediction of energy consumption for LoRa based wireless sensors network[J]. Wireless Networks, 2020, 26(5): 3507-3520. doi: 10.1007/s11276-020-02276-5
[14]	SOMMER P, MARET Y, DZUNG D. Low-power wide-area networks for industrial sensing applications[C]//IEEE International Conference on Industrial Internet. Piscataway: IEEE Press, 2018: 23-32.
[15]	周洋. 无线传感网节点低功耗控制技术的研究[D]. 苏州: 苏州大学, 2019: 33-39. ZHOU Y. Research on low power control technology of wireless sensor network nodes[D]. Suzhou: Soochow University, 2019: 33-39(in Chinese).
[16]	朱志斌. 基于CC1310的无线传感网络记录仪设计[D]. 太原: 中北大学, 2021: 30-36. ZHU Z B. Design of wireless sensor network recorder based on CC1310[D]. Taiyuan: North University of China, 2021: 30-36(in Chinese).
[17]	MAHBUBUR R, DALI I, VENKATA P. et al. Implementation of LPWAN over white spaces for practical deployment[C]//Conference on Internet-of-Things Design and Implementation. New York: ACM, 2019: 178-189.
[18]	JIAN L, MECHITOV K A, KIM R E, et al. Efficient time synchronization for structural health monitoring using wireless smart sensor networks[J]. Structural Control and Health Monitoring, 2016, 23(3): 470-486.