Integration of IoT based routing process for food supply chain management in sustainable smart cities

Nagarajan, Senthil Murugan; Deverajan, Ganesh Gopal; Chatterjee, Pushpita; Alnumay, Waleed S.; Muthukumaran, V.

doi:10.1016/j.scs.2021.103448

Cited by 73 publications

(21 citation statements)

References 24 publications

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“…Devices collect real-time data that are analyzed by machine learning processes, and these involve artificial intelligence and are connected via high-speed networks. The application of this framework varied across sectors, and the framework can be applied in preparation for future smart cities with the primary aim of sustainability [141]. (2) Investigation following RQ2 and RQ3 led to studies being found in the business, healthcare, tourism and transportation, architecture, and education sectors.…”

Section: Discussionmentioning

confidence: 99%

The Need for Smart Architecture Caused by the Impact of COVID-19 upon Architecture and City: A Systematic Literature Review

Park

Lee

et al. 2022

Sustainability

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The recent pandemic era of COVID-19 has shown social adjustment on a global scale in an attempt to reduce contamination. In response, academic studies relating to smart technologies have increased to assist with governmental restrictions such as social distancing. Despite the restrictions, architectural, engineering and construction industries have shown an increase in budget and activity. An investigation of the adjustments made in response to the pandemic through utilizing new technologies, such as the internet of things (IoT) and smart technologies, is necessary to understand the research trends of the new normal. This study should address various sectors, including business, healthcare, architecture, education, tourism and transportation. In this study, a literature review was performed on two web-based, peer-reviewed journal databases, SCOPUS and Web of Science, to identify a trend in research for the pandemic era in various sectors. The results from 123 papers revealed a focused word group of IoT, smart technologies, architecture, building, space and COVID-19. Overlapping knowledges of IoT systems, within the design of a building which was designed for a specific purpose, were discovered. The findings justify the need for a new sub-category within the field of architecture called “smart architecture”. This aims to categorize the knowledge which is required to embed IoT systems in three key architectural topics—planning, design, and construction—for building design with specific purposes, tailored to various sectors.

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Section: Discussionmentioning

confidence: 99%

The Need for Smart Architecture Caused by the Impact of COVID-19 upon Architecture and City: A Systematic Literature Review

Park

Lee

et al. 2022

Sustainability

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“…Various methods based on cryptography have also been studied [18]. Nagarajan et al [19] proposed an intelligent city dynamic food supply chain based on the Internet of Tings, which can ensure food quality, provide vehicle routes, and track pollution sources. Nagarajan et al [20] proposed an encryption technology to provide efective security using data from embedded devices or medical storage databases.…”

Section: Related Workmentioning

confidence: 99%

Federated Learning Framework Based on Data Value Evaluation in Industrial IoT

et al. 2022

Security and Communication Networks

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With the continuous maturity and development of the big data technology system, deep learning has been widely used in the field of the Industrial Internet of Things. However, the traditional training model with centralized data is prone to the leakage of private information in the industry, such as facial information. In recent years, federated learning solves the problem of privacy leakage caused by data sharing by not sharing data and only contributing to local models. Federated learning does not share data, which also makes it impossible to evaluate the contribution of each client to the federated task. We propose a federated learning framework based on data value evaluation. In this method, under the premise of effectively completing the training task of federated learning and ensuring the privacy of client data, a data value evaluator is designed in the central server, and the model uploaded by the client is evaluated to obtain the corresponding selection probability as the model aggregation weight. Experimental results show that the proposed method improves the accuracy of the global model obtained by existing federated aggregation.

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“…Changes in production policies are forcing both manufacturers and researchers to seek to improve operations in terms of sustainable supply chain development. In sustainable supply chains, social and environmental criteria must be applied by members in order to survive throughout the supply chain, while a competitive environment is expected to be maintained by meeting customer needs and related economic criteria [3]. The growing importance of sustainability in the supply chain of organizations in the current turbulent world has led organizations to examine the impact of sustainable supply chain as a factor affecting the quality of products and services, proper provision of social services, and proper use of renewable resources [4].…”

Section: Introductionmentioning

confidence: 99%

AIoT-based Sustainable Smart Supply Chain Framework

Aliahmadi

Nozari

Ghahremani-Nahr

2022

IJIMES

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Purpose: Supply chains in today's global environment operate in a market that is increasingly complex and dynamic in nature. In such an environment, a stable supply chain to respond to drastic changes in customer needs becomes inevitable. Based on these studies, it is obvious that organizations operating in the field of supply chain should accelerate their focus on sustainability and use technologies such as "Internet of Things" (IoT) and artificial intelligence to achieve the organization's goal of creating sustainable processes. Methodology: The presence of the Internet of Things, along with artificial intelligence technology, has created Artificial intelligence of things (AIoT) technology, which gives the big data from the Internet of Things great power. In this research, an attempt has been made to study and analyze the key dimensions, components and indicators of the AIoT-based sustainable supply chain. Also, a conceptual framework for Padidar intelligent supply chain based on these evolving technologies is presented, which can help to understand the elements of this intelligent supply chain in order to optimize. Findings: A study of the literature shows that investing in this technology to achieve sustainable benefits is inevitable. In addition, the use of this technology due to networking and the presence of the Internet requires appropriate security solutions for information technology, a workforce with the required set of skills, sharing information in an integrated environment with business partners. Originality/Value: The generalities of AIoT-based sustainable supply chain components in general, and things can be added to different industries and behaviors. Understanding the dimensions of this framework can always help to implement it effectively.

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Integration of IoT based routing process for food supply chain management in sustainable smart cities

Cited by 73 publications

References 24 publications

The Need for Smart Architecture Caused by the Impact of COVID-19 upon Architecture and City: A Systematic Literature Review

The Need for Smart Architecture Caused by the Impact of COVID-19 upon Architecture and City: A Systematic Literature Review

Federated Learning Framework Based on Data Value Evaluation in Industrial IoT

AIoT-based Sustainable Smart Supply Chain Framework

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