PACKET ERROR RATE ENHANCEMENT OF SMART CITY IOT NETWORKS VIA PEER-ASSISTED RETRANSMISSION
DOI:
https://doi.org/10.30572/2018/KJE/170227Keywords:
Peer Assistance (PA) Scheme, Packet Error Rate (PER) Improvement, Internet of Things (IoT), Smart Cities, Latency, Quality of Service (QoS)Abstract
Internet of Things (IoT) is rapidly expanding in smart city usage in applications such as smart traffic systems, power management, ecological monitoring, security in cities, and some more vital services. Quality of connectivity and response time have significant effects on how well these systems function. It is thus the crucial factor with respect to their functioning performance. The emerging requirement is then for IoT technologies with enhanced connectivity efficiency and data-loss minimization capabilities. To reduce Packet Error Rate (PER) higher Quality of Service (QoS) levels are used but at the expanse of imposing more load on the broker which should serve multiple publishers and subscribers. In this paper, it is proposed to improve the PER at a target subscriber by the assistance of a peer neighbor subscriber. The conducted tests show the capability of the proposed Peer-Assistance (PA) scheme to enhance PER up to 65% with respect to conventional QoS schemes tested under the same conditions. Although, this enhancement is at the expense of an increase in system latency, it provides a useful trade-off enabling design customization to suit the requirements of the specific application. Moreover, the proposed PA scheme introduces a mechanism that redistributes the retransmission load from the broker to neighboring subscribers, thereby enhancing the broker's availability to serve its clients
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Al Hanif, A. and Ilyas, M., 2024. Effective feature engineering framework for securing MQTT protocol in IoT environments. Sensors, 24(6), p.1782.
Ali, I., Hong, S. and Cheung, T., 2024. Congestion or No Congestion: Packet Loss Identification and Prediction Using Machine Learning. In: 2024 International Conference on Platform Technology and Service (PlatCon). IEEE.
Ali, J., Asad, M.M., Khan, M.A., Khan, F.A., Rehman, A. and Rodrigues, J.J.P.C., 2022. Mathematical modeling and validation of retransmission-based mutant MQTT for improving quality of service in developing smart cities. Sensors, 22(24), p.9751.
Alshammari, H.H., 2023. The internet of things healthcare monitoring system based on MQTT protocol. Alexandria Engineering Journal, 69, pp.275–287.
Al‐Turjman, F., Zahmatkesh, H. and Shahroze, R., 2022. An overview of security and privacy in smart cities' IoT communications. Transactions on Emerging Telecommunications Technologies, 33(3), p.e3677.
An, D., Joo, H. and Kim, H., 2025. Enabling low-latency digital twins for large-scale UAV networks using MQTT-based communication framework. ICT Express.
Ashaari, M.N., Kassim, M. and Ab Rahman, R., 2021. Performance analysis on multiple device connections of small office home office network. Baghdad Science Journal, 18(4 Suppl.), p.1457.
Ashhwath, C., Rohitram, V. and Sumathi, G., 2021. Smart parking system using MQTT communication protocol and IBM cloud. In: Journal of Physics: Conference Series, Vol. 2115, No. 1. IOP Publishing.
Barznji, A.O. and Ameen, J.J.H., 2021. Wi-MAX network simulation for Salahaddin University new campus. Kufa Journal of Engineering, 12(4), pp.1–13
Bulo, Y., Sonalika, A. and Krishna, S.M., 2024. Adaptive Automatic Repeat Request (AdARQ) Protocol to Improve the Throughput Characteristic of the Time-Varying Wireless Channel. Journal of The Institution of Engineers (India): Series B, 105(1), pp.53–61.
D’Ortona, C., Tarchi, D. and Raffaelli, C., 2022. Open-source MQTT-based end-to-end IoT system for smart city scenarios. Future Internet, 14(2), p.57.
Dilek, S. et al., 2022. QoS‐aware IoT networks and protocols: A comprehensive survey. International Journal of Communication Systems, 35(10), p.e5156.
Dizdarevic, J., Michalke, M. and Jukan, A., 2023. Engineering and experimentally benchmarking open source MQTT broker implementations. arXiv preprint, arXiv:2305.13893.
Domingues, M., Faria, J.N. and Portugal, D., 2024. Dimensioning payload size for fast retransmission of MQTT packets in the wake of network disconnections. EURASIP Journal on Wireless Communications and Networking, 2024(1), p.2.
Ferrari, P., Flammini, A., Sisinni, E. and Rinaldi, S., 2018. Delay estimation of industrial IoT applications based on messaging protocols. IEEE Transactions on Instrumentation and Measurement, 67(9), pp.2188–2199.
Gupta, V., Khera, S. and Turk, N., 2021. MQTT protocol employing IoT based home safety system with ABE encryption. Multimedia Tools and Applications, 80(2), pp.2931–2949.
Hasan, A.O., 2022. Application based performance monitoring heavy data transmission of local area network. Kufa Journal of Engineering, 13(3), pp.14–40.
Jara Ochoa, H.J., Ayala-Rivera, V., Parra, H.E. and López, J.P., 2023. Comparative analysis of power consumption between MQTT and HTTP protocols in an IoT platform designed and implemented for remote real-time monitoring of long-term cold chain transport operations. Sensors, 23(10), p.4896.
Jeddou, S. et al., 2022. Delay and energy consumption of MQTT over QUIC: An empirical characterization using commercial-off-the-shelf devices. Sensors, 22(10), p.3694.
Kashyap, M., Dev, A.K. and Sharma, V., 2024. Implementation and analysis of EMQX broker for MQTT protocol in the Internet of Things. E-Prime - Advances in Electrical Engineering, Electronics and Energy, 10, p.100846.
Lilhore, U.K., Yadav, R., Raw, R.S., Rana, P.S., Chaurasia, B.K. and Alazab, M., 2022. Design and implementation of an ML and IoT based adaptive traffic-management system for smart cities. Sensors, 22(8), p.2908.
Mia, S., Ahmed, F., Khan, I., Kabir, M.I., Roni, M.H., Cobra, K., Khatun, A.A. and Mahmud, S., 2025. Integrating renewable energy with Internet of Things (IoT): pathways to a smart green planet. Kufa Journal of Engineering, 16(1), pp.361–404.
Nassereddine, M. and Khang, A., 2024. Applications of Internet of Things (IoT) in smart cities. In: Advanced IoT Technologies and Applications in the Industry 4.0 Digital Economy. CRC Press, pp.109–136.
Pal, S., Ghosh, S. and Bhattacharya, S., 2017. Study and implementation of environment monitoring system based on MQTT. Environmental and Earth Sciences Research Journal, 4(1), pp.23–28.
Palmese, F., Redondi, A.E.C. and Cesana, M., 2022. Adaptive quality of service control for MQTT-SN. Sensors, 22(22), p.8852.
Pawar, S. and Patil, S., 2022. A strategic approach to model the machine-to-machine communication of industrial IoT system for MQTT protocol with a case study. In: Proceedings of 3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication (MARC 2021). Singapore: Springer Nature Singapore.
Pawar, S. et al., 2023. Evaluation of Delay Parameter of MQTT Protocol. International Journal of Engineering Trends and Technology, 71(3), pp.227–235.
Pham, L.M., Le, N.T.T. and Nguyen, X.T., 2022. Multi-level just-enough elasticity for MQTT brokers of Internet of Things applications. Cluster Computing, 25(6), pp.3961–3976.
Puthiyidam, J.J. and Joseph, S., 2024. Internet of Things network performance: Impact of message and client sizes and reliability levels. ECTI Transactions on Electrical Engineering, Electronics, and Communications, 22(1).
Saleem, A., Rehman, A., Rahim, A., Ullah, S., Zubair, M., Ahmad, N., and Rho, S., 2024. A comprehensive systematic survey of IoT protocols: Implications for data quality and performance. IEEE Access.
Seoane, V. et al., 2021. Performance evaluation of CoAP and MQTT with security support for IoT environments. Computer Networks, 197, p.108338.
Shahri, E., Pedreiras, P. and Almeida, L., 2021. Enhancing MQTT with real-time and reliable communication services. In: 2021 IEEE 19th International Conference on Industrial Informatics (INDIN). IEEE.
Singh, K. et al., 2025. Techniques in reliability of Internet of Things (IoT). Procedia Computer Science, 256, pp.55–62.
Syed, A.S. et al., 2021. IoT in smart cities: A survey of technologies, practices and challenges. Smart Cities, 4(2), pp.429–475.
Yew, H.T., Loo, C.K., Lim, W.H., Ahmad, R.B., Tan, Y.H. and Nordin, M.J., 2020. IoT based real-time remote patient monitoring system. In: 2020 16th IEEE International Colloquium on Signal Processing & Its Applications (CSPA). IEEE, pp. 123–127.
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