Abstract
This study presents an avionics and electrical system design using reliable, high-performance hardware and sensors for advanced scientific experimentation missions compatible with air-land-sea vehicle platforms, particularly nanosatellite platforms. The nanosatellite avionics, which has a real-time operating system that supports frequently used interfaces, processes and manages sensory and physical data based on a central processor. It executes all operations by defining IoT requirements and computing connection parameters for IoT applications. The modular design brought into the system provides both ease of access and integration into the target platform, and also provides reliable storage for telemetry and flight data. Through the IoT station, it reliably receives information from the satellite and transmits it to smart devices while maintaining the desired signal quality. Moreover, through processing the data obtained from the sensors, critical information such as instant detection and tracking of systems errors are transmitted to the cloud, and as a result, proper control can be provided regardless of location. This critical data obtained from the cloud is straightforwardly tracked by the software platform. This design will provide the space technologies inventory as the basis for a new satellite platform and a system design for researchers to further develop.
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References
Sweeting, M.N.: Modern small satellites-changing the economics of space. Proc. IEEE 106(3), 343–361 (2018)
Liddle, J.D., Holt, A.P., Jason, S.J., O’Donnell, K.A., Stevens, E.J.: Space science with CubeSats and nanosatellites. Nat. Astron. 4, 1026–1030 (2020)
Almonacid, V., Laurent, F.: Extending the coverage of the internet of things with low-cost nanosatellite networks. Acta Astronaut. 138, 95–101 (2017)
Ray, P.P.: A survey on internet of things architectures. J. King Saud Univ. Comput. Inf. Sci. 30(3), 291–319 (2018)
Bandyopadhyay, D., Sen, J.: Internet of things: applications and challenges in technology and standardization. Wirel. Pers. Commun. 58, 49–69 (2011)
Krco, S., Pokric, B., Carrez, F.: Designing IoT architecture(s): a European perspective. In: IEEE World Forum on Internet of Things, South Korea, pp. 79–84. IEEE (2014)
Sha, K., Wei, W., Yang, T.A., Wang, Z., Shi, W.: On security challenges and open issues in Internet of Things. Future Gener. Comput. Syst. 83, 326–337 (2018)
Mackensen, M., Lai, M., Wendt, T.M.: Bluetooth low energy (BLE) based wireless sensors. In: IEEE Sensors, pp. 1–4, Taiwan. IEEE (2013)
Ghaffari, K., Lagzian, M., Kazemi, M., Malekzadeh, G.: A socio-technical analysis of internet of things development: an interplay of technologies, tasks, structures and actors. Foresight 21(6), 640–653 (2019)
Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: InternetofThings (IoT): a vision, architectural elements, and future directions. Future Gener. Comput. Syst. 29(7), 1645–1660 (2013)
Narayanasamy, A., Ahmad, Y.A., Othman, M.: Nanosatellites constellation as an IoT communication platform for near equatorial countries. IOP Conf. Ser. Mater. Sci. Eng. 260(1), 12–28 (2017)
Bacco, M., et al.: Iot applications and services in space information networks. IEEE Wirel. Commun. 26(2), 31–37 (2019)
Fraire, J.A., Céspedes, S., Accettura, N.: Direct-to-satellite IoT - a survey of the state of the art and future research perspectives. In: Palattella, M.R., Scanzio, S., Coleri Ergen, S. (eds.) ADHOC-NOW 2019. LNCS, vol. 11803, pp. 241–258. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-31831-4_17
Kok, M., Hol, J.D., Schön, T.B.: Using inertial sensors for position and orientation estimation. Found. Trends Signal Process. 11(1–2), 1–153 (2017)
Bijjahalli, S., Sabatini, R.: A high-integrity and low-cost navigation system for autonomous vehicles. IEEE Trans. Intell. Transp. Syst. 22(1), 356–369 (2021)
Akiyama, M., Saito, T.: Influence of radio waves generated by XBee module on GPS positioning performance. In: 2020 IEEE International Conference on Consumer Electronics, pp. 1–2, Taiwan. IEEE (2020)
Slongo, L.K., Martinez, S.V., Eiterer, B.V.B., Bezerra, E.A.: Nanosatellite electrical power system architectures: models, simulations and tests. Int. J. Circuit Theory Appl. 48(12), 2153–2189 (2020)
Zhang, R.Y., Zhan, Y.F., Lu, J.H.: A new algorithm for main carrier acquisition in deep space communication. J. Electron. 28, 169–173 (2011)
Kodheli, O., Lagunas, E., Maturo, N., Sharma, S.K., Shankar, B.: Satellite communications in the new space era: a survey and future challenges. IEEE Commun. Surv. Tutor. 23, 70–109 (2021)
Akiyama, M., Saito, T.: A novel CanSat-based implementation of the guidance control mechanism using goal-image recognition. In: IEEE 9th Global Conference on Consumer Electronics, Japan, pp. 580–581. IEEE (2020)
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Bakirci, M., Özer, M.M. (2023). An IoT-Based Modular Avionics and Electrical System for Nanosatellite Systems. In: García Márquez, F.P., Jamil, A., Eken, S., Hameed, A.A. (eds) Computational Intelligence, Data Analytics and Applications. ICCIDA 2022. Lecture Notes in Networks and Systems, vol 643. Springer, Cham. https://doi.org/10.1007/978-3-031-27099-4_17
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