Performance evaluation of publish-subscribe systems in IoT using energy-efficient and context-aware secure messages

Autor: Norisvaldo Ferraz Junior, Anderson A.A. Silva, Adilson E. Guelfi, Sergio T. Kofuji
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Journal of Cloud Computing: Advances, Systems and Applications, Vol 11, Iss 1, Pp 1-17 (2022)
Druh dokumentu: article
ISSN: 2192-113X
DOI: 10.1186/s13677-022-00278-6
Popis: Abstract Background The Internet of Things (IoT) enables the development of innovative applications in various domains such as healthcare, transportation, and Industry 4.0. Publish-subscribe systems enable IoT devices to communicate with the cloud platform. However, IoT applications need context-aware messages to translate the data into contextual information, allowing the applications to act cognitively. Besides, end-to-end security of publish-subscribe messages on both ends (devices and cloud) is essential. However, achieving security on constrained IoT devices with memory, payload, and energy restrictions is a challenge. Contribution Messages in IoT need to achieve both energy efficiency and secure delivery. Thus, the main contribution of this paper refers to a performance evaluation of a message structure that standardizes the publish-subscribe topic and payload used by the cloud platform and the IoT devices. We also propose a standardization for the topic and payload for publish-subscribe systems. Conclusion The messages promote energy efficiency, enabling ultra-low-power and high-capacity devices and reducing the bytes transmitted in the IoT domain. The performance evaluation demonstrates that publish-subscribe systems (namely, AMQP, DDS, and MQTT) can use our proposed energy-efficient message structure on IoT. Additionally, the message system provides end-to-end confidentiality, integrity, and authenticity between IoT devices and the cloud platform.
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