Blockchain Based Delay and Energy Harvest Aware Healthcare Monitoring System in WBAN Environment

Anbarasan, Helen Sharmila; Jaisankar, N.

doi:10.3390/s22155763

Cited by 19 publications

(8 citation statements)

References 50 publications

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“…𝑓 𝑖,𝑗 = ∑ ∑ 𝑙 𝑞,𝑛 𝑠 𝑘+𝑞,𝑏+𝑛 𝐶 𝑛=0 𝐶 𝑞=0 (14) Where 𝑙 𝑞,𝑛 is the scale of the convolutional kernel. 𝑠 𝑘,𝑏 is the pixel value of image at 𝑘 and 𝑏.…”

Section: (A) Convolutional Layermentioning

confidence: 99%

“…In a WBAN, a sensor node is utilised for data detection, management, and processing in accordance with default settings and for comparison-based analysis of the results prior to transmission to the base station. The mode may on occasion take the place of a node [13].A WBAN uses a person's body to gather and send physiological, environmental, and medical data [14], which can then be used to carry out a number of tasks, such as patient monitoring, fitness tracking, and healthcare monitoring. The devices in a WBAN typically use low-power, low-data-rate communication technologies like ZigBee, Bluetooth, or ANT+ and operate in the ISM frequency band [15].…”

Section: Introductionmentioning

confidence: 99%

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WITHDRAWN: Multiobjective Routing Protocol Design in WBAN Using Optimized Fuzzy Clustering and Hybrid Deep Learning for Optimal Path Selection

Mohanty

Sahoo

Kabat

2023

Preprint

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Real-time monitoring of patients' health conditions is now possible because to wireless body area networks (WBANs). In WBANs, nodes are placed inside, on, or around the human body to collect a range of physiological data, such as body temperature, heart rate, and blood pressure. The routing of data packets in WBANs, however, confronts a number of difficulties because of the dynamic nature of the body, including limited power, interference, and movement. Data packet routing can be made more efficient by using a multiobjective routing protocol architecture to handle these problems. In this research work, WBAN's multiobjective routing protocol architecture is made possible by two phases as clustering and optimal path selection.To group nodes based on several objectives, such as energy consumption, transmission delay, and network longevity, the proposed multiobjective routing protocol design in WBAN uses an optimised Fuzzy C-means clustering method. The membership function in Fuzzy C-means clustering is determined using a novel hybrid optimization model HBWBF that combines the Black Widow Optimization (BWO) and the Bacterial Foraging Optimization Algorithm (BFOA). The hybrid deep learning approach for determining the optimal path between clusters combines Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs).The proposed model is implemented in MATLAB. To validate the efficiency of the proposed model, a comparative evaluation is performed.

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Section: (A) Convolutional Layermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Multiobjective Routing Protocol Design in WBAN Using Optimized Fuzzy Clustering and Hybrid Deep Learning for Optimal Path Selection

Mohanty

Sahoo

Kabat

2023

Preprint

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“…refers the affine variables over E. In this way, the MIMA is mitigated, and only authenticated users are allowed [31].…”

Section: Four-q-curvementioning

confidence: 99%

Dual discriminator conditional sheep flock generative adversarial network-based intrusion detection system in MAC-based SDN framework

Nanavath

Bhattacharyya

2023

Preprint

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Software-defined networking (SDN) technology enables and supports the 5G ecosystem, which is expected to handle a vast amount of sensitive data and provide connectivity to many users, making them more vulnerable to cyberattacks. Security measures, such as access control, encryption, authentication, and intrusion detection systems, must be implemented to protect network security against adversarial attacks. An intrusion detection system is a security technology designed to detect vulnerabilities in computer systems. Medium Access Control (MAC) addresses are required to identify and control access to specific devices on a network. Although there are various methods for intrusion detection, the most popular approaches have low accuracy. Therefore, a dual discriminator conditional sheep flock generative adversarial network-based intrusion detection system (IDS) in MAC-based SDN architecture is proposed to solve these issues and detect and prevent attacks. Initially, the 5G users authenticate with the help of the Four-Q-Curve algorithm. Next, the ideal switches are chosen to overcome the flow table overload using the univariate ensemble feature selection technique. Following this, a dual-discriminator conditional generative adversarial network (DC-GAN) is used to categorize selected features into normal, assault, and suspicious packets. The Sheep Flock Optimization Algorithm (SFOA) is used to optimize the DC-GAN. Then, the Growing Self-Organizing Map (GSOM) classifies the suspicious packets into normal and malicious packets. The experimental results show that the proposed method outperforms the existing methods in terms of accuracy, F1 score, sensitivity, and false alarm rate while ensuring low energy consumption and higher network throughput.

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“…This review article focus on the transmission of delivery of critical data directly that requires urgent attention to the sink node for a quick response from the medical personnel. These data from the human body can be sent to its final destination in two methods: Either is directly sent to the sink node from the body transceiver nodes called single hop, or the data from the patient's body will be transmitted to other intermediate transceiver nodes in the body before it finally gets to the sink node called multi-hop [14][15][16][17][18][19][20]. However, our focus in this work is critical data that must be sent directly to the sink node to save the patient's life on time.…”

Section: Introductionmentioning

confidence: 99%

“…However, if they were to consider the direct transmission of critical data to the sink node for urgent attention, their work would have been one of the finest. The work of [19] proposed a healthcare service in wireless body area networks using energy harvesting and a blockchainoperated delay in an environment. In their work, they deployed transceiver nodes in the patient and the environment with two sink nodes for receiving emergency and periodical data communication.…”

Section: Introductionmentioning

confidence: 99%

A Review on Critical Data Transmission in Wireless Body Area Networks

Iyobhebhe

Tekanyi

Usman

et al. 2022

PakJET

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Wireless body area networks (WBANs) assemble multiple transceiver nodes in, on, or around a patient's body to transmit physiological signals to the sink node and further send it to the medical personnel via a medical server. WBANs a sensor network that is characterized as energy-dependent. Due to this finite nature, the deployment of intelligent utilization is needed. Quality of service (QoS) is another area that needs rapt attention to receive exactly what was sent from the source node to the destination node and throughput. Critical data transmission is characterized by abnormal data status that requires an urgent response from the medical personnel without delay to save the patient's life. In this review article, we propose a review of critical data transmission in wireless body area networks. However, most past articles in this line focus more on energy-efficient, security and privacy, quality of the links, throughput, network maximization, and so on. None of them looks into the direction of transmitting critical data directly to the sink node without multi-hopping of the physiological signals between intermediate nodes, which wastes the time of transmission to save patient life. This disparity between these scholars motivates us to fill the gap between them. This review article briefly discussed the state-of-the-art critical data transmission in WBANs alongside the WBANs architecture and implementation. Furthermore, a pragmatic approach to determining the threshold's degree of critical data index sensed during transmission was also considered.

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Blockchain Based Delay and Energy Harvest Aware Healthcare Monitoring System in WBAN Environment

Cited by 19 publications

References 50 publications

WITHDRAWN: Multiobjective Routing Protocol Design in WBAN Using Optimized Fuzzy Clustering and Hybrid Deep Learning for Optimal Path Selection

WITHDRAWN: Multiobjective Routing Protocol Design in WBAN Using Optimized Fuzzy Clustering and Hybrid Deep Learning for Optimal Path Selection

Dual discriminator conditional sheep flock generative adversarial network-based intrusion detection system in MAC-based SDN framework

A Review on Critical Data Transmission in Wireless Body Area Networks

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