Co-REERP: Cooperative Reliable and Energy Efficient Routing Protocol for Intra Body Sensor Network (Intra-WBSN)

Rashid, Tarique; Kumar, Sunil; Verma, Akshay; Gautam, Prateek Raj; Kumar, Arvind

doi:10.1007/s11277-020-07401-3

Cited by 4 publications

(3 citation statements)

References 20 publications

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“…There has been a surge in the use of WBSN-based methodologies to respond to a variety of healthcare applications. Routing [13], traffic engineering [14], resource allocation [15], anomaly detection [16], energy consumption [17] and classification [18], and other subjects are frequently discussed in WBSNs. In the IoT healthcare sector, however, there is a lack of focus on security and reliability for data analysis.…”

Section: Figure 1 Wbsn Based Platform For Personal Healthcarementioning

confidence: 99%

Secure and Reliable ML-based Disease Detection for a Medical Wireless Body Sensor Networks

Mohamed

Meddeb-Makhlouf

Fakhfakh

et al. 2022

International Journal of Biology and Biomedical Engineering

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The recent development of the Internet of Things (IoT) has enabled a significant technology that aids quick healthcare solutions through the use of smart wearables sensors. Indeed, undesirable events and network threats can appear in any physiological recording in Wireless Body Sensor Networks (WBSN), leading to a misdiagnosis. These events and threats are recognizable by experienced medical staff, thereby it is necessary to identify them before making any diagnosis. In this paper, a secure and energy efficient approach is proposed. For disease detection, our research provide insight into several physiological signals, including the ElectroCardioGram (ECG), ElectroMyoGram (EMG), and Blood Pressure (BP), where the security is achieved by the application of the Advanced Encryption Symmetric (AES) and the Secure Hash Algorithm (SHA). Similarly, to obtain a reasonable range of reliability, a classification procedure based on supervised Machine Learning (ML) techniques is used. The simulation results proved the accuracy and sensitivity of the system by 97% and 92%, respectively by enhancing a high level of security. Moreover, a suitable prototype is developed for medical staff to ensure the applicability of our proposal.

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Section: Figure 1 Wbsn Based Platform For Personal Healthcarementioning

confidence: 99%

Secure and Reliable ML-based Disease Detection for a Medical Wireless Body Sensor Networks

Mohamed

Meddeb-Makhlouf

Fakhfakh

et al. 2022

International Journal of Biology and Biomedical Engineering

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“…A BAN consists of distributed autonomous sensor nodes, and each sensing unit consists of sensing boards, processor, short-range radio transmitter unit, and battery. Each node is a small and compact device to sense the healthy data and send to the base station [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

A Biologically Inspired Algorithm for Low Energy Clustering Problem in Body Area Network

Zhou

2021

Journal of Sensors

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The growing application of body area networks (BANs) in different fields makes the low energy clustering a paramount issue. A clustering optimization algorithm in BANs is a fundamental scheme to guarantee that the essential collected data can be forwarded in a reliable path and improve the lifetime of BANs. Low energy clustering is a technique, which provides a method that shows how to reduce network communication costs in BANs. A careful low energy clustering scheme is one of the most critical means in the research of BANs, which has attracted considerable attention, comprising monitoring capability constraints. However, the classical clustering method leads to high cost when constraints such as large overall energy consumption are undertaken. Hence, a binary immune hybrid artificial bee colony algorithm (BIHABCA), a randomized swarm intelligent scheme applied in BANs, motivated by immune theory and hybrid scheme is introduced. Furthermore, we designed the formulation that considers both distances between two nodes and the length of bits. Finally, we have compared the energy cost optimized by BIHABCA with a shuffled frog leaping algorithm, ant colony optimization, and simulated annealing in the simulation with different quantity of nodes in terms of energy cost. Results show that the energy cost of the network optimized by the proposed BIHABCA method decreased compared to those by the other three methods which mean that the proposed BIHABCA finds the global optima and reduces the energy cost of transmitting and receiving data in BANs.

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“…These types of biosensors are accessible in different shapes, i.e., implantable devices, biomedical smart clothes, and wrist wearable devices with the aim not to disturb the routine life of humans [2]. According to the nature of various biosensor nodes in BSNs, monitor patient vital signs and provide complete intelligent treatment when any abnormality occurs in the human body, i.e., accurate insulin injection when the patient's sugar level increased [3]. The applications of BSNs are to prolong human life, enhance society's medical treatment, and indorse the living quality of people [4].…”

Section: Introductionmentioning

confidence: 99%

A Lightweight and Secure Attribute-Based Multi Receiver Generalized Signcryption Scheme for Body Sensor Networks

et al. 2020

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With the rising number of patients along with the same time, the comparative evolution in wireless technology has made Body Sensor Networks (BSNs) flourishing in the market. In BSNs, tiny biosensor nodes are deployed inside/outside of a human body to continuously monitor patient vital signs such as heartbeat rate, blood pressure, respiratory rate, and temperature. BSNs face various challenges due to their constrained natured environment. These are prioritized, delay less and secure transmission of patient data using a public network, simultaneous reception of patient data by end-users, patient identity privacy, high overhead, and energy constraints. However, various researchers have worked in this domain, unable to cope with all these issues in one go. In this paper, we have proposed a novel cryptosystem covering the mentioned issues in a desirable way. For this purpose, we design a novel concept of a lightweight and secure attribute-based multi-receiver generalized signcryption scheme that can adaptively work as an encryption mode, a signature mode, or a signcryption mode with a single algorithm and consume fewer resources by using shorter keys size of Hyper-elliptic Curve Cryptography (HECC). Similarly, we design a modified priority-based scheduling algorithm to delay less emergency patient data. Multiple end-users access the encoded data simultaneously by defining an access policy using AND & OR logic gates. Furthermore, we simulate our scheme using the AVISPA tool and demonstrate that our proposed scheme can meet the security requirements such as data confidentiality (IND-CCA), integrity, unforgeability (EUF-CMA), patient data authenticity, forward secrecy, and non-repudiation distinctly in the Random Oracle Model (ROM). Due to lower processing costs and transmission overhead, this scheme is more efficient and suitable for the resource-constrained environment of BSNs.

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Co-REERP: Cooperative Reliable and Energy Efficient Routing Protocol for Intra Body Sensor Network (Intra-WBSN)

Cited by 4 publications

References 20 publications

Secure and Reliable ML-based Disease Detection for a Medical Wireless Body Sensor Networks

Secure and Reliable ML-based Disease Detection for a Medical Wireless Body Sensor Networks

A Biologically Inspired Algorithm for Low Energy Clustering Problem in Body Area Network

A Lightweight and Secure Attribute-Based Multi Receiver Generalized Signcryption Scheme for Body Sensor Networks

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