A Middleware Framework between Mobility and IoT Using IEEE 802.15.4e Sensor Networks

Alam, Tanweer

doi:10.15575/join.v4i2.487

Cited by 14 publications

(10 citation statements)

References 27 publications

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“…The blockchain-based approach was developed in the article [5] to optimize physiological information security and enhance transmitting data performance by using the distributed ledger to secure data records from malicious node tampering attacks [13], [14], [15]. In addition, smart contracts are implemented to allow real-time data analysis to secure private data information [16]. The smart contracts will serve as trusted third parties to help two parties safely exchange ideas.…”

Section: Introductionmentioning

confidence: 99%

mHealth Communication Framework Using Blockchain and IoT Technologies

Alam¹

2020

Preprint

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The mHealth is a term that is used for mobile health supported by smart devices such as mobile phones, tablets, and wearable smart devices, etc. The smart devices strengthen the efficiency and effectiveness of interaction with patients, physicians, and specialists. Patients nowadays would like to be intimately involved in their diagnosis as well as to make more informed decisions concerning their care. It has begun to measure the success of the quality of treatment. This was a reason that patients trust mHealth to provide them with consistency in their communications with the physicians. Most wireless strategies do not measure up to this standard so that patient engagement ultimately ended up decreasing. The blockchain can boost mHealth through storing and sharing electronic data securely and transparently. It can enhance the accessibility of patient information in real-time. The Internet of Things (IoT) provides a unique identification number to every connected device such as mobile devices, medical devices, and wearable devices. This framework uses the blockchain and IoT technologies together to provide quick help to the patients, monitor remotely, reduce the cost and unnecessarily hospitalization physically and find the real diagnosis. In order to increase patient involvement, mHealth framework with blockchain and IoT technologies has built with the key objective of providing patients with full information on their treatment and diagnosis.

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Section: Introductionmentioning

confidence: 99%

mHealth Communication Framework Using Blockchain and IoT Technologies

Alam¹

2020

Preprint

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“…The cloud service is being used by smart device users to explore gadgets, optimize valuable information in data analysis, and store images, videos, documents, and recordings. Smart devices will be considered as IoT nodes in the proposed system [14].…”

Section: Introductionmentioning

confidence: 99%

Device-to-Device Communications in Cloud, MANET and Internet of Things Integrated Architecture

Alam

2020

JISEBI

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Background: The wireless networks make it easier for users to connect with each other in the sense of the Internet of Things (IoT) system. The cloud and MANET convergence offer the services for cloud access within MANET of devices connected.Objective: The main objective of this research is to establish a cloud-based ad-hoc network architecture for the communication among smart devices under the 5G based Internet of Things architecture.Methods: The methods are applied to discover the smart devices using probability-based model, hidden Markov model and gradient-based model.Results: A cloud-MANET architecture of the smart device is constructed with cloud and MANET computation. The framework allows MANET users to access and deliver cloud services through their connected devices, where all simulations, error handling, and resource management are implemented.Conclusion: The MANET service has been launched as well as linked to the cloud by the mobile device. The author used the amazon cloud storage service. This research produces a conceptual model that is based on the ubiquitous method. It is shown the success in this area and expectations for future scope.

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“…In this case, distributing the intelligence between edge and cloud becomes necessary. We can define Distributed Intelligence in IoT as a paradigm that uses models, techniques, and algorithms for deciding whether to process IoT data in the edge layer, cloud layer, or both together [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

The Next Generation Internet of Things Architecture Towards Distributed Intelligence: Reviews, Applications, and Research Challenges

Rababah¹,

Alam²,

Eskicioglu³

2020

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Increasing the implication of growing data generated by the Internet of Things (IoT) brings the focus toward extracting knowledge from sensors’ raw data. In the current cloud computing architecture, all the IoT raw data is transmitted to the cloud for processing, storage, and control things. Nevertheless, the scenario of sending all raw data to the cloud is inefficient as it wastes the bandwidth and increases the network load. This problem can be solved by Providing IoT Gateway at the edge layer with the required intelligence to gain the Knowledge from raw data to decide to actuate or offload complicated tasks to the cloud. This collaboration between cloud and edge called distributed intelligence. This work highlights the distributed intelligence concept in IoT. It presents a deep investigation of distributed intelligence between cloud and edge layers under IoT architecture, with an emphasis on its vision, applications, and research challenges. This work aims to bring the attention of IoT specialists to distributed intelligence and its role to deduce current IoT challenges such as availability, mobility, energy efficiency, security, scalability, interoperability, and reliability.

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A Middleware Framework between Mobility and IoT Using IEEE 802.15.4e Sensor Networks

Cited by 14 publications

References 27 publications

mHealth Communication Framework Using Blockchain and IoT Technologies

mHealth Communication Framework Using Blockchain and IoT Technologies

Device-to-Device Communications in Cloud, MANET and Internet of Things Integrated Architecture

The Next Generation Internet of Things Architecture Towards Distributed Intelligence: Reviews, Applications, and Research Challenges

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