A Review on IoT: Protocols, Architecture, Technologies, Application and Research Challenges

Kamboj, Deepika; Sharma, Sitansh; Kumar, Sumit

doi:10.1109/confluence47617.2020.9058228

Cited by 5 publications

(4 citation statements)

References 15 publications

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“…In figure 1.6 we fall into typical computer networking concept i.e. IoT layers Protocols [28]. In computer network analysts initially prepare different layers as per functioning of them, then for each layer they define and derive some set of rules according to which every layers operates there specific task.…”

Section: Internet Of Things (Iot)mentioning

confidence: 99%

Role of MANET and Artificial Bee Colony (ABC) Algorithm to Make Smart Campus Model, With Smart Sensors

Verma

Varshney

2023

Preprint

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In the decade of Internet of Thing, Machine Learning and Big data we are ready to accumulate lot of sensors and intelligent devices for making our real world environment more accessible, open, transparent and its records are manageable for future purpose i.e. either just for fetching or analyze for future perspective. In contrast, an institutional campus is also ready for fully automation where all the major participants like students, academician, management and others, should be observed as an entity with their different attributes. Meanwhile those campuses are not functioning in isolation, it depends and Interco-related to some other organizations and modules also, so that they have to synchronized and update their data accordingly. Here the whole scenario views from computer network perspective, where all the participating members observed like node and in whole it creates wireless mobile ad-hoc network i.e. MANET. First will understand the campus functioning in short then look at flow of data in this system, then observes the components and their responsibility to categorized and placing them in MANET based architecture. Finally we will select and design algorithm for the whole digital campus system. This is a concept of implementing intelligent technologies to transform any existing environment into smart, here not only institutional campus but many other also can be upgraded or transform into smart like villages, cities, sports or working flow like census, PDS, Disaster Management system etc.

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Section: Internet Of Things (Iot)mentioning

confidence: 99%

Role of MANET and Artificial Bee Colony (ABC) Algorithm to Make Smart Campus Model, With Smart Sensors

Verma

Varshney

2023

Preprint

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Section: Mobile Ad-hoc Network (Manet)mentioning

confidence: 99%

Role of Manet and Artificial Bee Colony Algorithm to Make Smart Campus Model, With Smart Sensors

2023

Int J Media Net

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In the decade of Internet of Thing, Machine Learning and Big data we are ready to accumulate lot of sensors and intelligent devices for making our real world environment more accessible, open, transparent and its records are manageable for future purpose i.e. either just for fetching or analyze for future perspective. In contrast, an institutional campus is also ready for fully automation where all the major participants like students, academician, management and others, should be observed as an entity with their different attributes. Meanwhile those campuses are not functioning in isolation, it depends and Intercorelated to some other organizations and modules also, so that they have to synchronized and update their data accordingly. Here the whole scenario views from computer network perspective, where all the participating members observed like node and in whole it creates wireless mobile ad-hoc network i.e. MANET. First will understand the campus functioning in short then look at flow of data in this system, then observes the components and their responsibility to categorized and placing them in MANET based architecture. Finally we will select and design algorithm for the whole digital campus system. This is a concept of implementing intelligent technologies to transform any existing environment into smart, here not only institutional campus but many other also can be upgraded or transform into smart like villages, cities, sports or working flow like census, PDS, Disaster Management system etc.

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“…There are already several reviews, evaluations and comparisons for IoT platforms [10]- [14]. The work in [12] compare the most important cloud platforms related to IoT, according to some requirements and performance tests.…”

Section: Related Workmentioning

confidence: 99%

“…However, the range of possible platforms is limited to three cloudbased IoT platforms. The study performed in [10] present an overview for architectures, communication technologies, protocols and use cases for IoT. It differs from this work because do not perform a Systematic Literature Review (SLR) for defining these concepts.…”

Section: Related Workmentioning

confidence: 99%

The Anatomy of IoT Platforms—A Systematic Multivocal Mapping Study

Barros

Neto

et al. 2022

IEEE Access

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Due to the large variety of Internet of Things (IoT) platforms, selecting the right one to implement an IoT solution is a tough task. To mitigate right selection by the developer, this paper presents a Systematic Multivocal Mapping Study on IoT platforms and its main software elements, to define their anatomy considering how they were studied by the market analysts and academia. By using a precise protocol defined on this work, it was possible to select 63 academic articles and industry reports that perform IoT platform descriptions, evaluations and comparisons. As results, this paper identified the most important IoT platforms are AWS IoT, Azure IoT, Watson IoT, PTC ThingWorx and Google IoT. Its main capabilities are Interoperability, Security & Privacy, Developer Support, Data Management, Device Management and Services Management. It was also defined an architectural model with the main platform components highlighted according to their relevance, the main communication models (Publish/Subscribe and REST APIs) and the common API that should be implemented by the IoT platforms.

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A Review on IoT: Protocols, Architecture, Technologies, Application and Research Challenges

Cited by 5 publications

References 15 publications

Role of MANET and Artificial Bee Colony (ABC) Algorithm to Make Smart Campus Model, With Smart Sensors

Role of MANET and Artificial Bee Colony (ABC) Algorithm to Make Smart Campus Model, With Smart Sensors

Role of Manet and Artificial Bee Colony Algorithm to Make Smart Campus Model, With Smart Sensors

The Anatomy of IoT Platforms—A Systematic Multivocal Mapping Study

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