A Cross-Protocol Proxy for Sensor Networks Based on CoAP

Pierleoni, Paola; Belli, Alberto; Palma, Lorenzo; Incipini, Lorenzo; Raggiunto, Sara; Mercuri, Marco; Concetti, Roberto; Sabbatini, Luisiana

doi:10.1109/isce.2019.8900987

Cited by 6 publications

(4 citation statements)

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“…For this reason a cross protocol proxy is necessary for communication between AAL systems and the Internet. The developed cross protocol proxy (Pierleoni et al 2019b) is able to receive requests from an HTTP or CoAP Client, convert them into the receiving Server's protocol (HTTP, CoAP or MQTT), and vice versa, convert back the answer to forward it to the source Client. Moreover, the caching function allows to store the answer to a request to speed up the processing of similar requests in the future, thus reducing the traffic and improving the overall response time of the network.…”

Section: Cross Protocol Proxymentioning

confidence: 99%

“…Moreover, the caching function allows to store the answer to a request to speed up the processing of similar requests in the future, thus reducing the traffic and improving the overall response time of the network. In the cross protocol proxy, four types of proxying, related to the interaction of the CoAP protocol with HTTP and MQTT, have been developed and tested (Pierleoni et al 2019b). The first type is the CoAP-HTTP proxying, where the proxy forwards and translates the CoAP Client's request to the HTTP Server and vice versa.…”

Section: Cross Protocol Proxymentioning

confidence: 99%

“…The simulated environments setup are based on the adoption of a single machine implementing both the developed proxy and the software employed in the tests to simulate concurrent Client requests. Compared to our previous work (Pierleoni et al 2019b), we aim at testing the cross protocol proxy using a much better performing machine. The main characteristics of the used machine are: Intel Xeon X5650 (x2) CPU, 12 MB cache, 2.66 GHz, 16 GB RAM, and Ubuntu 18.04.1 LTS as operating system.…”

Section: The Simulated Environments Setupmentioning

confidence: 99%

See 2 more Smart Citations

A complete architecture for Ambient Assisted Living scenarios using a cross protocol proxy

Pierleoni

Belli

Palma

et al. 2023

J Ambient Intell Human Comput

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Nowadays, in the most developed countries, modern society is moving towards scenarios in which the self-sufficiency elderly people live alone in their homes. An automatic remote monitoring system using wearable sensors is becoming even more important in Ambient Assisted Living applications. For this type of services, it is important that IoT sensors networks, which are generally composed of devices with limited computing power and storage, implement reliable communication among sensors and the Internet. There are several specialized protocols for the Internet of Things proposed by the scientific community, each characterized by its own levels of Quality of Services. The emergence of new protocols forces the need for developing proxying systems able to intermediate among different types of networks and to translate the relative protocols. In this paper, we propose a complete architecture for monitoring and managing wearable devices, and, in particular, fall detection ones. Our system uses a cross protocol proxy and a device with CoAP and MQTT as application level protocols, while it exploits the NB-IoT at physical and data-link levels. The goal of this work is the performance evaluation of the proposed solution in terms of Throughput, Round Trip Time and Delay. The results highlight the low latency reached by the proposed system architecture thanks to the implemented protocols.

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Section: Cross Protocol Proxymentioning

confidence: 99%

Section: Cross Protocol Proxymentioning

confidence: 99%

Section: The Simulated Environments Setupmentioning

confidence: 99%

See 1 more Smart Citation

A complete architecture for Ambient Assisted Living scenarios using a cross protocol proxy

Pierleoni

Belli

Palma

et al. 2023

J Ambient Intell Human Comput

Self Cite

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“…A device can either communicate directly, or through an intermediate gateway, with the Cloud. The field-gateway has the role of protocol translation [44] and may be able to perform local storage, filtering and processing actions on received data before sending it to the Cloud [45]. The platform tier is the Provider Cloud.…”

Section: ) Cloud-iot Architecturementioning

confidence: 99%

Amazon, Google and Microsoft Solutions for IoT: Architectures and a Performance Comparison

et al. 2020

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Internet of Things (IoT) aims to connect the real world made up of devices, sensors and actuators to the virtual world of Internet in order to interconnect devices with each other generating information from the gathered data. Devices, in general, have limited computational power and limited storage capacity. Cloud Computing (CC) has virtually unlimited capacity in terms of storage and computing power, and is based on sharing resources. Therefore, the integration between IoT and CC seems to be one of the most promising solutions. In fact, many of the biggest companies that offer Cloud Services are focusing on the IoT world to offer services also in this direction to their users. In this paper we compare the three main Cloud Platforms (Amazon Web Services, Google Cloud Platform and Microsoft Azure) regarding to the services made available for the IoT. After describing the typical architecture of an IoT application, we map the Cloud-IoT Platforms services with this architecture analyzing the key points for each platform. At the same time, in order to conduct a comparative analysis of performance, we focus on a service made available by all platforms (MQTT middleware) building the reference scenarios and the metrics to be taken into account. Finally, we provide an overview of platform costs based on different loads. The aim is not to declare a winner, but to provide a useful tool to developers to make an informed choice of a platform depending on the use case.

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