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    Radio resource management for data transmission in low power wide area networks integrated with large scale cyber physical systems

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    [EN] Recent advances in ICT technologies lead to intelligent services based on monitoring data. A system for the intelligent services is called as a cyber physical system (CPS). The CPS is an IoT-Cloud system which is an integrated system between computing world and a physical sensor field. It makes feasible applications by connecting the monitoring data in the physical world to decision making in the computing world. That is, between the physical world and the computing world, the CPS supports various interactions to objects as IoT-Cloud system. In the physical sensor field of the CPS, a sensor network, which consists of sensors and actuators is constructed. ZigBee is considered as the representative wireless communication technology for the sensor network. However, it has short transmission range and uses shared frequency band with high competition. Therefore, it is not suitable for the CPS applications with long service range such as smart factory or smart environment monitoring. For these CPS applications, it is required to apply low power wide area network (LPWAN) to the sensor network. In this paper, LPWAN requirements for the CPS (i.e., the IoT-Cloud system) applications are analyzed and a radio management method for data transmission of LPWAN in the IoT-Cloud system is designed. For the validation of the efficiency of the data transmission, computer simulations are carried out. Results show that the proposed method outperforms state of the art methods. In this way, the proposal improves the transmission delay over TDMA in between 33 and 51% depending on the number of sensors considered and presents a superior performance in the transmission of data packets.This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2016-R0992-16-1006) supervised by the IITP (Institute for Information & communications Technology Promotion), and this work was supported by the Soonchunhyang University Research Fund.Kim, D.; Kim, S.; Hassan Mohamed, H.; Park, JH. (2017). Radio resource management for data transmission in low power wide area networks integrated with large scale cyber physical systems. Cluster Computing. 20(2):1831-1842. https://doi.org/10.1007/s10586-017-0841-4S18311842202Lin, C.-Y., Zeadally, S., Chen, T.-S., Chang, C.-Y.: Enabling cyber physical systems with wireless sensor networking technologies. Int. J. Distrib. Sens. Netw. 2012 (2012)Ali, S., Qaisar, S.B., Saeed, H., Khan, M.F., Naeem, M., Anpalagan, A.: Network challenges for cyber physical systems with tiny wireless devices: a case study on reliable pipeline condition monitoring. MDPI Sens. 15, 7172–7205 (2015)Gunes, V., Peter, S., Givargis, T., Vahid, F.: A survey on concepts, applications, and challenges in cyber-physical systems. KSII Trans. Internet Inf. Syst. 8(12), 4242–4267 (2014)Lee, E.A.: Cyber physical systems: design challenges, In: Proceedings of IEEE Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, (2008), pp. 363–369Wan, J., Yan, H., Suo, H., Li, F.: Advances in cyber-physical systems research. KSII Trans. Internet Inf. Syst 5(11), 1891–1908 (2011)Correll, N., Arechiga, N., Bolger, A.: Building a distributed robot garden. In: Proceedings of IEEE International Conference on Intelligent Robots and Systems, (2009), pp. 1509–1516Ye, W., Heidemann, J., Estrin, D.: An energy-efficient MAC protocol for wireless sensor networks. In: Proceedings of Joint Conference of the IEEE Computer and Communications Societies, (2002)Dam, T.V., Langendoen, K.: An adaptive energy-efficient MAC protocol for wireless sensor networks. In: Proceedings of International Conference on Embedded Networked Sensor Systems, (2003), pp. 171–180Polastre, J., Hill, J., Culler, D.: Versatile low power media access for wireless sensor networks. In: Proceedings of International Conference on Embedded Networked Sensor Systems, (2004), pp. 95–107Rajendran, V., Obraczke, K., Garcia-Luna-Aceves, J.J.: Energy-efficient, collision-free medium access control for wireless sensor networks. Wirel. Netw. 12(1), 63–78 (2006)Ergen, S.C., Varaiya, P.: PEDAMACS: power efficient and delay aware medium access protocol for sensor networks. IEEE Trans. Mob. Comput. 5(7), 920–930 (2006)Kim, D.-Y., Cho, J.: Active caching: a transmission method to guarantee desired communication reliability in wireless sensor networks. IEEE Commun. Lett. 12(6), 442–446 (2009)Kim, D.Y., Jin, Z., Choi, J., Lee, B., Cho, J.: Transmission power control with the guaranteed communication reliability in WSN. Int. J. Distrib. Sens. Netw. 2015, 12 (2015)Jin, Z., Kim, D.-Y., Cho, J., Lee, B.: An analysis on optimal cluster ratio in cluster-based wireless sensor networks. IEEE Sens. J. 15(11), 6413–6423 (2015)IEEE, IEEE 802.15.4-2006 Part 15.4: Wireless medium access control (MAC) and Physical layer (PHY) Specifications for low-rate wireless personal area networks (LR-WPAN), (2006)ZigBee Alliance, http://www.zigbee.org (2015)Xiong, X., Zheng, K., Xu, R., Xiang, W., Chatzimisios, P.: Low power wide area machine-to-machine networks: key techniques and prototype. IEEE Commun. Mag. 53(9), 64–71 (2015)LoRa Alliance, https://www.lora-alliance.org (2016)SIGFOX, http://www.sigfox.com (2016)Weightless, http://www.weightless.org (2015)Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: A survey on sensor networks. IEEE Commun. Mag. 40(8), 102–114 (2002)Culler, D., Estrin, D., Srivastava, M.: Guest editors’ introduction: overview of sensor networks. Computer 37(8), 41–49 (2004)Mehajabin, N., Razzaque, M.A., Hassan, M.M., Almogren, A., Alamri, A.: Energy-sustainable relay node deployment in wireless sensor networks. Elsevier Comput. Netw. 104, 108–121 (2016)Anjum, I., Razzaque, M.A., Hassan, M.M., Alelaiwi, A., Rahman, S.M.M.: Quality-of-service-aware weighted-fair medium access control protocol for coexisting cognitive radio networks. EURASIP J. Wirel. Commun. Netw. 2016, 77 (2016)Israr, I., Yaqoob, M.M., Javaid, N., Qasim, U., Khan, Z.A.: Simulation analysis of medium access techniques. In: Proceedings of International Conference on Broadband, Wireless Computing, Communication and Applications, (2012), pp. 602–607Kim, D.Y., Cho, J., Lee, B.: A buffer management technique for guaranteed desired communication reliability and low-power in wireless sensor networks. IEICE Trans. Commun. E93–B(12), 3522–3525 (2010)Howitt, I., Gutierrez, J.A.: IEEE 802.15.4 low rate-wireless personal area network coexistence issues. In: Proceedings of IEEE Wireless Communications and Networking Conference, (2003), pp. 1481–1486MacDougall, M.H.: Simulating Computer Systems: Techniques and Tool. The MIT Press, Cambridge (1987
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