A Disruption-Tolerant RESTful Support for the Web of Things

Sommer, Nicolas Le; Touseau, Lionel; Mahéo, Yves; Auzias, Mael; Raimbault, Frédéric

doi:10.1109/ficloud.2016.11

Cited by 5 publications

(5 citation statements)

References 13 publications

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“…The IoT service model using the CoAP, which is a typical model suitable for the limited environment, also provides the inter-HTTP interface that is commonly used in the existing internet environment through the CoAP-HTTP proxy [23,24]. In addition, since CoAP uses RESTful-based APIs like HTTP, it has the advantage of providing mapping between different protocols in a more efficient way [25,26]. In this paper, we will apply a service method which can utilize both the restricted network and the existing internet environment.…”

Section: Iot Application Protocolmentioning

confidence: 99%

Sleep Information Gathering Protocol Using CoAP for Sleep Care

Choi

Kang

Lee

2017

Entropy

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There has been a growing interest in sleep management recently, and sleep care services using mobile or wearable devices are under development. However, devices with one sensor have limitations in analyzing various sleep states. If Internet of Things (IoT) technology, which collects information from multiple sensors and analyzes them in an integrated manner, can be used then various sleep states can be more accurately measured. Therefore, in this paper, we propose a Smart Model for Sleep Care to provide a service to measure and analyze the sleep state using various sensors. In this model, we designed and implemented a Sleep Information Gathering Protocol to transmit the information measured between physical sensors and sleep sensors. Experiments were conducted to compare the throughput and the consumed power of this new protocol with those of the protocols used in the existing service-we achieved the throughput of about two times and 20% reduction in power consumption, which has confirmed the effectiveness of the proposed protocol. We judge that this protocol is meaningful as it can be applied to a Smart Model for Sleep Care that incorporates IoT technology and allows expanded sleep care if used together with services for treating sleep disorders.

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Section: Iot Application Protocolmentioning

confidence: 99%

Sleep Information Gathering Protocol Using CoAP for Sleep Care

Choi

Kang

Lee

2017

Entropy

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“…The reference information for implementing a proxy that performs translation between HTTP and CoAP is given in an document by CoRE working group [125]. A lot of research effort is put into developing and analysing HTTP-CoAP proxies and mappings between the two [126][127][128][129][130][131].…”

Section: Multiple Protocol Solutions Based On a Combination Of Commun...mentioning

confidence: 99%

A Survey of Communication Protocols for Internet of Things and Related Challenges of Fog and Cloud Computing Integration

et al. 2019

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The fast increment in the number of IoT (Internet of Things) devices is accelerating the research on new solutions to make cloud services scalable. In this context, the novel concept of fog computing as well as the combined fog-to-cloud computing paradigm is becoming essential to decentralize the cloud, while bringing the services closer to the end-system. This paper surveys on the application layer communication protocols to fulfill the IoT communication requirements, and their potential for implementation in fog-and cloud-based IoT systems. To this end, the paper first briefly presents potential protocol candidates, including request-reply and publish-subscribe protocols. After that, the paper surveys these protocols based on their main characteristics, as well as the main performance issues, including latency, energy consumption and network throughput. These findings are thereafter used to place the protocols in each segment of the system (IoT, fog, cloud), and thus opens up the discussion on their choice, interoperability and wider system integration. The survey is expected to be useful to system architects and protocol designers when choosing the communication protocols in an integrated IoT-to-fog-to-cloud system architecture. Continuous innovations in hardware, software and connection solutions in the last decade have lead to the expansion of the Internet of Things (IoT) with the number of connected devices growing by the day [1] [2]. The huge amount of data generated by these devices require to find a proper system architecture able to both process and store all the data. While cloud-based architectures are being currently used for that purpose, the new fog computing paradigm is envisioned to scale and optimize the IoT infrastructures [3]. Examples of the cloud-based IoT solutions have been proposed in [4], [5], [6] and a detailed analysis of properties for IoT cloud providers has been conducted in [7]. These studies have shown that cloud computing has the potential to satisfy many IoT requirements, such as monitoring of services, powerful processing of sensor data streams and visualization tasks. On the other hand, fog-based solutions are suited to address real-time processing, fast data response, and latency issues, thus extending the cloud capabilities closer to the edge of the network [8]. Among many factors that will determine the performance in a combined IoT, fog and cloud computing paradigm, the application layer communication, which in turn depends on the selected communication protocols, is one of the main ones.Despite the popularity and wide spread usage of HTTP, the currently used protocols in various domains of IoT, fog and cloud domains are de-facto fragmented with many different solutions. This is due to the different requirements and areas that IoT needs to cover, combining the functionalities of sensors, actuators and computing power with security, connectivity and a myriad of other features. As a result, there is no common agreement on the reference architecture or adopted standards of co...

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“…IoT networks can consist of heterogeneous devices, and one key challenge is the interoperability between them. Re-cent research on sematic interoperability allows system integration using the Web of Things (WoT) [44], [45]. Touseau et al presented ASAWoO [46], a WoT based middleware platform, to integrate heterogeneous cyber-physical objects using Avatars in a farming environment.…”

Section: Literature Reviewmentioning

confidence: 99%

IIoT Based Multimodal Communication Model for Agriculture and Agro-Industries

Almadani

Mostafa

2021

IEEE Access

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The population would reach ten billion by 2050, and experts believe that the agricultural sector needs to boost production by 70% to satisfy the demand. Traditional farming practices rely on primitive technology that creates a yield gap with low productivity. A paradigm shift towards merging new technologies in the agriculture sector would enhance productivity, optimize cost, and encourage sustainable development. In this paper, we review the necessity for the fusion of the Fourth Industrial Revolution technological approach in the agricultural domain. We discuss the gap in supply chain management for the Industrial sector and Agricultural sector and identify the issues of vendor-specific production systems. We propose a multimodal communication model for the systematic integration of multi-vendor agricultural production systems. Our model utilizes the Data Distribution Service (DDS) middleware to enable communication between heterogeneous production systems to perform farming operations in a coordinated manner. Experimental work is conducted on a small-scale hydroponic farm to evaluate the system performance in terms of throughput, latency, and packet delivery ratio (PDR). The throughput for our proposed DDS system has significantly improved with the use of the BATCH QoS policy for payload size less than 1024 bytes. However, we incur an average latency of approximately 235 microseconds for any payload size. The value of PDR is 1 for any payload size ensuring our system to be reliable. The results suggest that our model can enable interoperability between multi-vendor production systems in real-time while incurring minimum latency.

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A Disruption-Tolerant RESTful Support for the Web of Things

Cited by 5 publications

References 13 publications

Sleep Information Gathering Protocol Using CoAP for Sleep Care

Sleep Information Gathering Protocol Using CoAP for Sleep Care

A Survey of Communication Protocols for Internet of Things and Related Challenges of Fog and Cloud Computing Integration

IIoT Based Multimodal Communication Model for Agriculture and Agro-Industries

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