RFID IoT-enabled warehouse for safety management using product class-based storage and potential fields methods

Trab, Sourour; Bajic, Eddy; Zouinkhi, Ahmed; Abdelkrim, Mohamed Naceur; Chekir, Hassen

doi:10.1504/ijes.2018.089436

Cited by 32 publications

(9 citation statements)

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“…Blockchain provides great transparency for inventory management and counterfeiting [ 40 ]. For IoT-based warehouse inventory management and the supply chain system [ 41 , 42 ], the issues of privacy and security can be solved by employing cryptography and information hiding mechanisms [ 5 , 6 , 22 , 23 , 24 , 25 ]. For IoT, cryptography solutions [ 40 , 43 ], such as symmetric and asymmetric solutions, are the best solutions to provide and gain security or confidentiality in unsecured transmission.…”

Section: Literature Surveymentioning

confidence: 99%

Intuitive Development to Examine Collaborative IoT Supply Chain System Underlying Privacy and Security Levels and Perspective Powering through Proactive Blockchain

Shahzad

Zhang

Gherbi

2020

Sensors

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Undoubtedly, the supply chain management (SCM) system is an important part of many organizations worldwide; over time, the technologies used to manage a supply chain ecosystem have, therefore, a great impact on businesses’ effectiveness. Among others, numerous developments have been made that targeted to have robust supply chain systems to efficiently manage the growing demands of various supplies, considering the underlying requirements and main challenges such as scalability, specifically privacy and security, of various business networks. Internet of things (IoT) comes with a solution to manage a complex, scalable supply chain system, but to provide and attain enough security during information exchange, along with keeping the privacy of its users, is the great inherent challenge of IoT. To fulfill these limitations, this study designs and models a scaled IoT-based supply chain (IoT-SC) system, comprising several operations and participants, and deploys mechanisms to leverage the security, mainly confidentially, integrity, authentication (CIA), and a digital signature scheme to leverage potentially secured non-repudiation security service for the worst-case scenario, and to leverage privacy to keep users sensitive personal and location information protected against adversarial entities to the IoT-SC system. Indeed, a scaled IoT-SC system certainly opens new challenges to manage privacy and security while communicating. Therefore, in the IoT-SC system, each transaction writes from edge computing nodes to the IoT-SC controller is thoroughly examined to ensure the proposed solutions in bi-directional communication, and their robustness against adversarial behaviors. Future research works, employing blockchain and its integrations, are detailed as paces to accelerate the privacy and security of the IoT-SC system, for example, migrating IoT-centric computing to an immutable, decentralized platform.

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Section: Literature Surveymentioning

confidence: 99%

Intuitive Development to Examine Collaborative IoT Supply Chain System Underlying Privacy and Security Levels and Perspective Powering through Proactive Blockchain

Shahzad

Zhang

Gherbi

2020

Sensors

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“…It used text or voice recommendation to provide better facility to the user in the field of AI [23]. In 2018, there was a paper for the safety and storage application of warehouses using robotics and Internet of ings (IoT) platforms which may produce an ideal solution for the management of warehouses and also reduce the storage efficiency or time with minimum distance coverage by robot [24]. In 2020, there will be many models developed for the food industry.…”

Section: Literature Reviewmentioning

confidence: 99%

Safety of Food and Food Warehouse Using VIBHISHAN

Khan¹,

Tyagi²,

Chauhan³

2021

Journal of Food Quality

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Food is one of the integral parts of human life making the quality of food one of the prime factors in its selection for consumption. In order to maintain the food quality, it must be taken care of from the very first step where its quality may be affected, that is, warehouses. Food safety and safety of its warehouses is one of the major concerns, because many people lose their lives due to poor food quality. A robot that can ensure the safety of both food and warehouse can be one of the possible solutions, because taking care of huge warehouses is a tedious task and sometimes food present inside the warehouse gets unnoticed and thus get contaminated. Also safety of warehouses from intruders can be done by a robot, in any condition where it is difficult for human beings. This robot would be cheap and efficient and also make sure of safety, keeping the food intact and ensuring its fine quality.

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“…Sensors are the low-level hardware that plays an essential role in detecting, sensing and collecting environmental information, such as warehouse security management [7], fire detection and warning [8], home automation, and remote patient monitoring [9]. Due to different descriptions of concepts in the sensor field and data processing methods, heterogeneous problems exist in sensor networks, which makes it difficult to share, reuse, and integrate different sensor data.…”

Section: Related Workmentioning

confidence: 99%

A Novel Method to Associate Sensor Data with Domain Ontology

Liu¹,

Yang²,

Shang³

2019

IJDSA

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With the development of the Internet of Things, sensor ontologies have been applied to a variety of fields. Most sensor ontologies are currently built for applications in specific domains, and these ontologies are usually heterogeneous, making it difficult to share or reuse knowledge and concepts. The ontology association methods can be used to construct the semantic mapping between heterogeneous ontologies, so as to effectively determine the similarity between concepts in the ontologies. However, most of the contemporary methods do not make full use of the information that is stored in ontologies and are insufficient for the effective association. This paper proposes a novel association method based on comprehensive similarity. In our proposed method, we first use How-Net to obtain concept representation and calculate the semantic similarity of ontology concepts through sememe Tree and sememe Hierarchy. Then we calculate the structural similarity by the internal structure and the hierarchical relationship between the ontologies and remove the conceptual pairs with low relevance. Finally, we combine the semantic similarity and structural similarity to calculate the similarity matrix between ontology concepts to achieve association. The experimental results on real data show that our method can effectively associate sensor data with domain ontology by combining two different similarity calculation methods.

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RFID IoT-enabled warehouse for safety management using product class-based storage and potential fields methods

Cited by 32 publications

References 0 publications

Intuitive Development to Examine Collaborative IoT Supply Chain System Underlying Privacy and Security Levels and Perspective Powering through Proactive Blockchain

Intuitive Development to Examine Collaborative IoT Supply Chain System Underlying Privacy and Security Levels and Perspective Powering through Proactive Blockchain

Safety of Food and Food Warehouse Using VIBHISHAN

A Novel Method to Associate Sensor Data with Domain Ontology

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