Abstract
The temperature monitoring node based on MSP430F149 and CC1101 is designed, which has the low power consumption. The demo machine has been built and passed live test. The temperature monitoring node consists of MCU module, power module, CC1101 interface module and temperature acquisition module. The passive communication protocol is designed which can wake the CC1101 up on radio by polling. In order to collect temperature inside of the freezing truck at low-power consumption, the technology of function macro definition optimization and energy management based on context awareness is adopted. And the aim of monitoring temperature is realized by radio communication module sending temperature data to the sink node. The current is measured when the node run at different mode. When the node run at receiving mode, the measured current is 25 mA. When the node run at sending mode, the measured current is 9 mA. When the node run at sleeping mode, the measured current is 3 mA. The test results indicate that the temperature monitoring node runs stably, which lasts at least 90 days and achieves its objects.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Tan, K.K., Huang, S.N., Zhang, Y., et al.: Distributed fault detection in industrial system based on sensor wireless network. Comput. Stan. Interfaces 31(3), 573–578 (2009)
Zhang, X., Liu, Y., Liu, H., Li, Z.: An ultra-low power MAC protocol for wireless sensor networks. Chin. J. Sens. Actuators 40(7), 2038–2048 (2007)
Tang, L.,Sun, Y.,Gurewitz, O., et al.: An energy-efficient predictive-wakeup MAC protocol for wireless sensor networks. In: IEEE INFOCOM, pp. 1305-1313 (2011)
Ganeriwal, S., Kumar, R., Srivastava, M.B.: Timing-Sync Protocol for Sensor Networks, pp. 138–149. ACM Press, New York (2003)
Allen, W.G., Johnson, J., Ruiz, M., et al.: Monitoring volcanic eruptions with a wireless sensor network. In: Proceeedings of the Second European Workshop on Wireless sensor Networks, pp. 108–120 (2005)
Noh, K., Serpedin, E., Qaraqe, K.A.: New approach for time synchronization in wireless sensor networks: pairwise broadcast synchronization. IEEE Trans. Wireless Commun. 7(9), 3318–3322 (2008)
Marco, A., Casas, R., Ramos, J.L.S., et al.: Synchronization of multihop wireless sensor networks at the application layer. IEEE Trans. Wireless Commun. 18(1), 82–88 (2011)
Elson, J., Girod, L., Estrin, D.: Fine-grained network time synchronization using reference broadcasts. In: Proceedings of the Fifth Symposium on Operating systems Design and Implementation (OSDI2002), pp. 147–163. ACM Press, New York (2002)
Hofmann-Wellenhof, B., Lichtenegger, H., Collins, J.: Global Positioning System: Theory and Practice. Springer, Berlin (1997)
Mills, D.L.: Internet time synchronization: the network time protocol. IEEE Trans. Commun. 39, 1482–1493 (1991)
Lin, G., Stankovic, J.A.: Radio-triggered wake-up capability for wireless sensor networks. Real-Time Syst. 29(2), 157–182 (2005)
Ma., W., Wu., D., Xu., D., et al.: Uniform identification system construction for agricultural IoT. China Stand. (1), 79–83 (2014). (in Chinese)
Liu, Y., Ma, R., Cao, W., et al.: Progress on the research of can bus in automatic navigation system of agricultural vehicles. J. Agric. Mechanization Res. 34(8), 233–236 (2011). (in Chinese)
Gao, X., Ju, J., Jiang, M., et al.: Design on distributed agricultural greenhouse control system based on CAN bus. J. Chinese Agric. Mechanization 37(4), 67–70 (2016). (in Chinese)
Ke, X., Zhang, W., Tang, K., et al.: Design of agricultural intelligent monitoring system based on GSM network and 485 bus. J. Chinese Agric. Mechanization 4(5), 213–218 (2016). (in Chinese)
Zheng, N., Yang, X., Wu, S.: A survey of low-power wide-area network technology. Inf. Commun. Technol. 10(1), 47–54 (2017). (in Chinese)
Liu, X., Zheng, H., Shi, N., et al.: Artificial intelligence in agricultural applications. Fujian J. Agric. Sci. 28(6), 609–614 (2013). (in Chinese)
Zheng, J., Liu, P., Zhang, Z., et al.: Application of cabin intelligent compartments based on expert system in fishing vessel. Trans. Chinese Soc. Agric. Eng. 31(6), 208–212 (2015). (in Chinese)
Wang, T., Zhang, X., Chen, W., et al.: RFID-based temperature monitoring system of frozen and chilled tilapia in cold chain logistics. Trans. Chinese Soc. Agric. Eng. 27(9), 141–146 (2011). (in Chinese)
Acknowledgments
This work was supported by the Key research and development (industry and information) projects of Huaian, Jiangsu, China (Grant No.: HAG201604).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Shao, H., Hu, R., Ma, C. (2018). Design of a Low-Power Cold Chain Logistics Internet of Things System. In: Barolli, L., Xhafa, F., Javaid, N., Spaho, E., Kolici, V. (eds) Advances in Internet, Data & Web Technologies. EIDWT 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 17. Springer, Cham. https://doi.org/10.1007/978-3-319-75928-9_40
Download citation
DOI: https://doi.org/10.1007/978-3-319-75928-9_40
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-75927-2
Online ISBN: 978-3-319-75928-9
eBook Packages: EngineeringEngineering (R0)