Abstract
Nowadays, the use of Internet of Things has became part of our daily lives and an important technology in industries. All these interconnected devices bring one major concern that is energy consumption. This need of energy is mostly due to data sensing, data processing and communications but it also comes from the high waste of energy induced by idle listening. These devices are commonly supplied by external power source and thus have very limited lifetime. All these needs are not only expensive but they are also a threat to the environment. Fortunately, many improvements have been found during the past years from improving energy efficiency to energy harvesting. One major enhancement was brought with wake-up radio technology. Thanks to radio frequency energy harvesting techniques, nodes are able to become active only after receiving a wake-up signal thus reducing idle listening and improving latency. This paper proposes a state of the art of wake-up radio technology along with the several optimizations that could possibly be applied. Then, some analysis of current microcontrollers communication performance and energy efficiency is displayed. Finally, the paper determine the limits of the practical implementation of wake-up radio technology on such devices.
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References
Isa, K.: IoT market size and demand. Internet Things Trends Chall. Appl. 2(1) (2020)
Yang, L., et al.: A game theoretic approach for balancing energy consumption in clustered wireless sensor networks. Sensors 17(11), 2654 (2017)
Malmodin, J., Lund, D.: The energy and carbon footprint of the global ICT and E &M sectors 2010–2015. Sustainability 10, 3027 (2018)
Bello, H., et al.: Advances and opportunities in passive wake-up radios with wireless energy harvesting for the internet of things applications. Sensors 19(14), 3078 (2019)
Zaraket, E., et al.: An overview on low energy wake-up radio technology: active and passive circuits associated with MAC and routing protocols. J. Netw. Comput. Appl. 190, 103140 (2021)
Oller, J., et al.: Has time come to switch from duty-cycled MAC protocols to wake-up radio for wireless sensor networks? IEEE/ACM Trans. Networking 24(2), 674–687 (2016)
Ghribi, M., Meddeb, A.: A dual-mode MAC protocol with service differentiation for industrial IoT networks using wake-up radio. Ad Hoc Netw. 142, 103111 (2023)
Silicon Labs: EFR32BG22 Wireless Gecko SoC Family Data Sheet (2021)
Piyare, R., Murphy, A.L.: Ultra low power wake-up radios: a hardware and networking survey. IEEE Commun. Surv. Tutor. 19, 2117–2157 (2017)
Basagni, S., et al.: Wake-up radio ranges: a performance study. In: IEEE Wireless Communications and Networking Conference (WCNC), 15–18 April 2019, Marrakesh, Morocco (2019)
Bluetooth Technology Overview: Bluetooth®Technology Website. https://www.bluetooth.com/learn-about-bluetooth/tech-overview/. Accessed Apr 2023
Giovanelli, D., et al.: Enhancing bluetooth low energy with wake-up radios for IoT applications. In: 13th International Wireless Communications and Mobile Computing Conference, 26–30 June 2017, Valencia, Spain (2017)
Huo, L.: A Comprehensive Study of Passive Wake-up - Radio in Wireless Sensor Networks. Business (2014)
Gengzhong, Z., Qiumei, L.: A survey on the topology of wireless sensor networks based on small world network model. In: 2nd International Conference on Future Computer and Communication, 21–24 May 2010, Wuhan, China (2010)
Nahrstedt, K., et al.: Internet of mobile things: mobility-driven challenges, designs and implementations. In: IEEE First International Conference on Internet-of-Things Design and Implementation (IoTDI), 04–08 April 2016, Berlin, Germany (2016)
Elkenawy, A., Judvaitis, J.: Transmission power influence on WSN-based indoor localization efficiency. Sensors 22(11), 4154 (2022)
Silicon Labs: RF Sense - v2.12 - RAIL API Documentation. https://docs.silabs.com/rail/2.12/group-rf-sense. Accessed May 2023
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Rup, C., Hopp, Q., Mamert, S., Turco, B., Bajic, E., Mekki, K. (2024). Experimental Analysis of a Bluetooth Low Energy Wake-Up Radio Solution. In: Borangiu, T., Trentesaux, D., Leitão, P., Berrah, L., Jimenez, JF. (eds) Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future. SOHOMA 2023. Studies in Computational Intelligence, vol 1136. Springer, Cham. https://doi.org/10.1007/978-3-031-53445-4_34
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DOI: https://doi.org/10.1007/978-3-031-53445-4_34
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