VeerEdge: Towards an Edge-Centric IoT Gateway

Dayalan, Udhaya Kumar; Fezeu, Rostand A. K.; Varyani, Nitin; Salo, Timothy J.

doi:10.1109/ccgrid51090.2021.00083

Cited by 7 publications

(3 citation statements)

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“…Each of these system components has features and functions based on applications & use case requirements. IoT edge devices which connects to IoT Gateway has sensors or actuators and functions to connect the physical world to gateway [5]. There are system challenges such as data mining, privacy which are open research areas and requires system modeling approaches for solutions [6].…”

Section: Introductionmentioning

confidence: 99%

Introspection of Availability in Service Based Smart Systems Using Internet of Things (IoT)

Ramalingam

Venkatesan

2023

IoT, Cloud and Data Science

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Conventional systems are electrical, electro mechanical and heavy-duty industry appliance relying on monitoring, reporting, alert mechanism that are manual or semi-automated for services. As the number of systems increase, the services to these conventional systems are labor intensive, adds complexity and service time is a challenge. Internet of Things (IoT) bridges the physical world data to applications in cloud and acts as a critical interface for driving the Digital Infrastructure for organizations. Current IoT systems design is largely driven by the edge environmental parameters and requirements from software-based applications in the cloud. The constraints of the design that are governed by resources available at the edge. There are multiple use cases for IoT which includes Enterprise, consumer and Industrial applications. The design requirements such as Availability, Security, Energy savings & safety have to be considered for enabling smartness for the conventional systems which also influences cost and resources of support infrastructure. In this paper the modelling design parameters such as availability in service based smart systems is discussed and detailed using mathematical models.

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Section: Introductionmentioning

confidence: 99%

Introspection of Availability in Service Based Smart Systems Using Internet of Things (IoT)

Ramalingam

Venkatesan

2023

IoT, Cloud and Data Science

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“…Because there are many different devices, protocols, and network architectures involved, it is necessary to ensure that they can all work together smoothly. This requires compatibility and interoperability between them [6]. A smart gateway helps IoT devices communicate with the internet by acting as a bridge, facilitating the exchange of information between them [7].…”

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confidence: 99%

Generic Home Automation System Using IoT Gateway Based on Wi-Fi and ant+ Sensor Network

Yadav

Gangwar

2023

IJRITCC

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This research article explores the use of internet of things (IoT) technology in home automation, including cloud computing and sensor networks to improve quality of life, and the increasing affordability through mobile connectivity. In this proposed smart home system, our main objective is to build a home automation system for the common consumer, which can help him to use home appliances with confidence and control at a low cost. The paper describes the building of an IoT gateway using the ANT multi-hop wireless network protocol and the Wi-Fi protocol, specifically utilizing the nRF24L01 and Esp8266 chips. Various sensor nodes, such as a water tank level sensor, human presence sensor, smart LED door sensor, and smart switch, will be integrated into the system. The main goal of the research is to develop an affordable solution for smart home technology for everyday consumers.

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“…These functions are composed of atomic commands and are expected to be deployed on virtualized infrastructures (e.g., container-based virtualization (Morabito et al, 2017)) or run natively on an edge device. For instance, Docker containers are explored in Microsoft Azure IoT Edge (Mendu et al, 2022) for deploying computational processes on edge devices, and Amazon AWS Greengrass (Dayalan et al, 2021) can deploy and execute Lambda functions on the Greengrass core software in edge devices (Das et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Enabling artificial intelligence analytics on the edge

Τσακανίκας¹

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Αυτή η διατριβή εισάγει ένα νέο κατανεμημένο μοντέλο για χειρισμό σε πραγματικό χρόνο, αναλυτικών βίντεο στα άκρα του δικτύου. Η καινοτομία του μοντέλου βασίζεται στην αποσύνδεση και τη διανομή των υπηρεσιών σε πολλές αποσυντεθειμένες συναρτήσεις, δημιουργώντας αλυσίδες εικονικών λειτουργιών (μοντέλο VFC). Το μοντέλο λαμβάνει υπόψη τόσο τους υπολογιστικούς περιουρισμούς όσο και τους περιορισμούς επικοινωνίας. Θεωρητικά αποτελέσματα, αποτελέσματα προσομοιώσεων και πειραματικά αποτελέσματα έχουν δείξει ότι το μοντέλο VFC μπορεί να επιτρέψει την υποστήριξη υπηρεσιών βαρέως φορτίου σε περιβάλλον στα άκρα του δικτύου βελτιώνοντας παράλληλα το αποτύπωμα της υπηρεσίας σε σύγκριση με πλαίσια τελευταίας τεχνολογίας. Αναλυτικά, τα αποτελέσματα στο μοντέλο VFC έδειξαν ότι μπορεί να μειώσει το συνολικό κόστος των άκρων, σε σύγκριση με μοντέλα διανομής μονολιθικού και απλού πλαισίου. Για πειραματισμούς σε ένα πραγματικό σενάριο, έχει αναπτυχθεί ένα δοκιμαστικό περιβάλλον δικτύου στα άκρα, όπου έχουν αναπτυχθεί τα προαναφερθέντα μοντέλα, καθώς και ένα γενικό πλαίσιο διανομής (Apache Spark ©). Εξετάστηκε επίσης μια υπηρεσία υπολογιστικού νέφους. Τα πειράματα έχουν δείξει ότι το VFC μπορεί να ξεπεράσει όλες τις εναλλακτικές προσεγγίσεις, μειώνοντας το λειτουργικό κόστος και βελτιώνοντας την ποιότητα της υπηρεσίας. Τέλος, εισάγεται ένα μοντέλο μετεγκατάστασης, ένα μοντέλο προσωρινής αποθήκευσης και μια υπηρεσία παρακολούθησης της ποιότητας υπηρεσίας που βασίζεται σε μοντέλα τεχνητής νοημοσύνης (LSTM).

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VeerEdge: Towards an Edge-Centric IoT Gateway

Cited by 7 publications

References 1 publication

Introspection of Availability in Service Based Smart Systems Using Internet of Things (IoT)

Introspection of Availability in Service Based Smart Systems Using Internet of Things (IoT)

Generic Home Automation System Using IoT Gateway Based on Wi-Fi and ant+ Sensor Network

Enabling artificial intelligence analytics on the edge

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