Mona Mahmoud
Ammar Muthanna
ABSTRACT
Low power wide area network (LPWAN) is one of the main Internet of Things (IoT) networks that is widely used for the outdoor-IoT applications. A main feature with such networks is the long-range coverage that enables the dense deployment over such networks. However, the introduction of massive number of IoT devices puts many constraints and limitations on the design and development of such networks. A promising solution for a part of such challenges is the introduction of distributed computing technology to enable this massive number of deployed devices. This work considers such deployment of heterogeneous forms of distributed computing units to assist the design and development of LPWAN networks for dense deployed applications. Two main forms of the distributed computing are considered in this work; multiple access edge computing (MEC), and fog computing. The integration of fog and MEC units is introduced in a way that achieves higher latency, energy, and availability efficiency. A proof-of-concept of the developed model is introduced for dense deployment scenarios. The developed fog-MEC model is evaluated for LPWAN for heterogeneous simulation scenarios, and the simulation results validate the developed model.
- Centenaro, M., Costa, C. E., Granelli, F., Sacchi, C. and Vangelista, L., 2021, A survey on technologies, standards and open challenges in satellite Iot. IEEE Communications Surveys & Tutorials, 23(3), pp.1693-1720.Google Scholar
Cross Ref
- Cao, Y., Jiang, T. and Han, Z., 2016, A survey of emerging M2M systems: Context, task, and objective. IEEE Internet of Things Journal, 3(6), pp. 1246-1258.Google ScholarCross Ref
- Stoyanova, M., Nikoloudakis, Y., Panagiotakis, S., Pallis, E. and Markakis, E. K., 2020, A survey on the internet of things (IoT) forensics: challenges, approaches, and open issues. IEEE Communications Surveys & Tutorials, 22(2), pp.1191-1221.Google Scholar
- Kassab, W. A. and Darabkh, K. A., 2020, A–Z survey of Internet of Things: Architectures, protocols, applications, recent advances, future directions and recommendations. Journal of Network and Computer Applications, 163, pp.102663.Google Scholar
- Aman, A. H. M., Yadegaridehkordi, E., Attarbashi, Z. S., Hassan, R. and Park, Y. J., 2020, A survey on trend and classification of internet of things reviews. Ieee Access, 8, pp.111763-111782.Google ScholarCross Ref
- Smys, S., 2020, A Survey on Internet of Things (IoT) based Smart Systems. Journal of ISMAC, 2(04), pp.181-189.Google ScholarCross Ref
- Hassan, R., Qamar, F., Hasan, M. K., Aman, A. H. M. and Ahmed, A. S., 2020, Internet of Things and its applications: A comprehensive survey. Symmetry, 12(10), pp.1674.Google ScholarCross Ref
- Kassab, W. A. and Darabkh, K. A., 2020, A–Z survey of Internet of Things: Architectures, protocols, applications, recent advances, future directions and recommendations. Journal of Network and Computer Applications, 163, pp.102663.Google Scholar
- Bahashwan, A. A., Anbar, M., Abdullah, N., Al-Hadhrami, T. and Hanshi, S. M., 2021, Review on Common IoT Communication Technologies for Both Long-Range Network (LPWAN) and Short-Range Network. In Advances on Smart and Soft Computing, (pp. 341-353). Springer, Singapore.Google Scholar
- Iqbal, M., Abdullah, A. Y. M. and Shabnam, F., 2020, June, An Application Based Comparative Study of LPWAN Technologies for IoT Environment. In 2020 IEEE Region 10 Symposium (TENSYMP), (pp. 1857-1860). IEEE.Google Scholar
- Ertürk, M. A., Aydın, M. A., Büyükakkaşlar, M. T. and Evirgen, H., 2019, A survey on LoRaWAN architecture, protocol and technologies. Future Internet, 11(10), pp. 216.Google ScholarCross Ref
- Chochul, M. and Ševčík, P., 2020, November, A Survey of Low Power Wide Area Network Technologies. In 2020 18th International Conference on Emerging eLearning Technologies and Applications (ICETA), (pp. 69-73). IEEE.Google Scholar
- Mekki, K., Bajic, E., Chaxel, F. and Meyer, F., 2019, A comparative study of LPWAN technologies for large-scale IoT deployment. ICT express, 5(1), pp. 1-7.Google Scholar
- Muthanna, M. S. A., Wang, P., Wei, M., Ateya, A. A. and Muthanna, A., 2019, Toward an ultra-low latency and energy efficient LoRaWAN. In Internet of Things, Smart Spaces, and Next Generation Networks and Systems, (pp. 233-242). Springer, Cham.Google Scholar
- Chaudhari, B. S., Zennaro, M. and Borkar, S., 2020, LPWAN technologies: Emerging application characteristics, requirements, and design considerations. Future Internet, 12(3), pp. 46.Google ScholarCross Ref
- Ateya, A. A., Algarni, A. D., Hamdi, M., Koucheryavy, A. and Soliman, N., 2021, Enabling Heterogeneous IoT Networks over 5G Networks with Ultra-Dense Deployment—Using MEC/SDN. Electronics, 10(8), pp. 910.Google ScholarCross Ref
- Li, Y., Qi, F., Wang, Z., Yu, X. and Shao, S., 2020, Distributed edge computing offloading algorithm based on deep reinforcement learning. IEEE Access, 8, pp. 85204-85215.Google ScholarDigital Library
- Gong, C., Lin, F., Gong, X. and Lu, Y., 2020, Intelligent cooperative edge computing in internet of things. IEEE Internet of Things Journal, 7(10), pp. 9372-9382.Google ScholarCross Ref
- Frangoudis, P. A., Tsigkanos, C. and Dustdar, S., 2021, Connectivity technology selection and deployment strategies for iot service provision over LPWAN. IEEE Internet Computing, 25(1), pp. 61-70.Google ScholarCross Ref
- Ugwuanyi, S., Paul, G. and Irvine, J., 2021, Survey of IoT for developing countries: performance analysis of LoRaWAN and cellular NB-IoT networks. Electronics, 10(18), pp. 2224.Google ScholarCross Ref
- Raychowdhury, A. and Pramanik, A., 2020, Survey on LoRa technology: solution for internet of things. Intelligent Systems, Technologies and Applications, pp. 259-271.Google Scholar
- Lavric, A., Petrariu, A. I. and Popa, V., 2019, August, Sigfox communication protocol: The new era of iot?. In 2019 International Conference on Sensing and Instrumentation in IoT Era (ISSI), (pp. 1-4). IEEE.Google Scholar
- Muteba, F., Djouani, K. and Olwal, T., 2019, A comparative Survey Study on LPWA IoT Technologies: Design, considerations, challenges and solutions. Procedia Computer Science, 155, pp. 636-641.Google ScholarCross Ref
- Boulogeorgos, A. A. A., Diamantoulakis, P. D. and Karagiannidis, G. K., 2016, Low power wide area networks (lpwans) for internet of things (iot) applications: Research challenges and future trends. arXiv preprint arXiv:1611.07449.Google Scholar
- Alli, A. A. and Alam, M. M., 2020, The fog cloud of things: A survey on concepts, architecture, standards, tools, and applications. Internet of Things, 9, pp. 100177.Google ScholarCross Ref
- Avasalcai, C., Murturi, I. and Dustdar, S., 2020, Edge and fog: A survey, use cases, and future challenges. Fog Computing: Theory and Practice, pp. 43-65.Google Scholar
- Pozveh, A. J. and Shahhoseini, H. S., 2021, IoT Integration with MEC. In Mobile Edge Computing, (pp. 111-144). Springer, Cham.Google Scholar
- Mehmood, M. Y., Oad, A., Abrar, M., Munir, H. M., Hasan, S. F., Muqeet, H. and Golilarz, N. A., 2021, Edge computing for IoT-enabled smart grid. Security and Communication Networks, 2021.Google Scholar
- Jambusaria, A., 2021, LPWAN Technology to enable Interoperable Fog-Edge Computing Model for Smart Grids. International Research Journal of Engineering and Technology (IRJET), pp. 314-319.Google Scholar
- Qin, J., Li, Z., Wang, R., Li, L., Yu, Z., He, X. and Liu, Y., 2021, Industrial Internet of Learning (IIoL): IIoT based pervasive knowledge network for LPWAN—concept, framework and case studies. CCF Transactions on Pervasive Computing and Interaction, 3(1), pp. 25-39.Google ScholarCross Ref
- Gia, T. N., Qingqing, L., Queralta, J. P., Zou, Z., Tenhunen, H. and Westerlund, T., 2019, September, Edge AI in smart farming IoT: CNNs at the edge and fog computing with LoRa. In 2019 IEEE AFRICON, (pp. 1-6). IEEE.Google Scholar
- Ateya, A. A., Vybornova, A., Samouylov, K. and Koucheryavy, A., 2017, June, System model for multi-level cloud based tactile internet system. In International Conference on Wired/Wireless Internet Communication, (pp. 77-86). Springer, Cham.Google Scholar
- Ateya, A. A., Muthanna, A., Vybornova, A., Darya, P. and Koucheryavy, A., 2018, Energy-aware offloading algorithm for multi-level cloud based 5G system. In Internet of Things, Smart Spaces, and Next Generation Networks and Systems, (pp. 355-370). Springer, Cham.Google Scholar
Index Terms
- Distributed Edge Computing to Assist LPWAN: Fog-MEC Model
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