Abstract
Edge computing has played a vital role in improving the performance of the Internet of Things (IoT) network. It provides computation locally at the edge of the network, placed near the field of data generation. It has significantly reduced some of IoT’s significant challenges, such as scalability, availability, reliability, and resiliency. In this domain, researchers are further incorporating advanced technology such as Software-Defined Network (SDN) to improve the Edge-based IoT network’s overall performance. Moreover, Edge-based IoT network’s working depends on the type of protocol used for data delivery. Various data transmission protocols can be used to transmit a packet from source to destination. This paper aims to determine the performance of the two widely used protocols, namely IPv6 over low-power wireless personal area networks (6LoWPAN) and OpenFlow for SDN enabled Edge-based IoT network. The experimentation was carried out in a Mininet-WiFi emulator. The results indicate that SDN based OpenFlow protocol can improve the system performance in terms of average round trip time (RTT) of a packet, packet loss ratio, and jitter compared to the conventional 6LoWPAN protocol.
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Das, R.K., Jha, M., Harizan, S. (2022). Performance Appraisal of 6LoWPAN and OpenFlow in SDN Enabled Edge-Based IoT Network. In: Gandhi, T.K., Konar, D., Sen, B., Sharma, K. (eds) Advanced Computational Paradigms and Hybrid Intelligent Computing . Advances in Intelligent Systems and Computing, vol 1373. Springer, Singapore. https://doi.org/10.1007/978-981-16-4369-9_3
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DOI: https://doi.org/10.1007/978-981-16-4369-9_3
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