Citation: | DUAN Ruifeng, LYU Yanjie, DU Wenji, et al. Multi-channel wireless sensor system based on CC1310 chip wtih high speed and low power consumption[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(11): 2177-2185. doi: 10.13700/j.bh.1001-5965.2021.0682(in Chinese) |
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.
[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.
|