A Comprehensive Survey of Medium Access Control Protocols for Wireless Body Area Networks

Bouani, Aisha; Maissa, Yann Ben; Saadane, Rachid; Hammouch, Ahmed; Tamtaoui, Ahmed

doi:10.1155/2021/5561580

Cited by 11 publications

(6 citation statements)

References 54 publications

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“…Attribute-based signcryption is used in all of the processes in [7,8] making use of public key infrastructure-(PKI-) based cryptography. Certificateless signcryption was utilised in [9,10]; signcryption is heterogeneous and not certificate-based.…”

Section: Literature Reviewmentioning

confidence: 99%

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[Retracted] Secure Techniques for Channel Encryption in Wireless Body Area Network without the Certificate

Monga

Raju²,

Arunkumar

et al. 2022

Wireless Communications and Mobile Computing

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Wireless body area networks (WBANs) have seen an increase in popularity in recent years. Electromagnetic waves created by the body have the capacity to connect nodes all over the epidermis and throughout the body. If the gadget does not cause discomfort or harm, it can be linked to or implanted in the body. This is something that is currently being worked on. Other factors influence an individual’s genuine mobility and the ease with which they can use something. Participating in social networks may enhance the lives of members. WBANs equipped with sensors can monitor a user’s heart rate and communicate that information to the user’s physician. WBAN has been shown to be a dependable electronic health solution. WBAN technology allows you to follow your patient’s data no matter where they are, when they are, or what they are doing. However, because it runs in an open Wi-Fi environment and can conceal users’ physiological data, it is more vulnerable to assault. To deal with resource-constrained WBAN sensors and devices, a cryptographic solution that is both very efficient and extremely secure is required. Our primary priority will be the safeguarding of the WBAN network. WBAN contains several significant security weaknesses that must be addressed immediately. WBANs might benefit from certificateless signature encryption that uses a hyperelliptic curve and works over a secure channel. We are outpaced by the opposition by 4.58 milliseconds.

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Section: Literature Reviewmentioning

confidence: 99%

“…If correctly created, medication may save lives and enhance overall health. Future healthcare deployments of these IoT-based WBANs may result in a considerable revolution [5][6][7][8][9]. These networks will likely enhance disease prevention and control strategies.…”

Section: Problems With Cryptomentioning

confidence: 99%

[Retracted] Secure Techniques for Channel Encryption in Wireless Body Area Network without the Certificate

Monga

Raju²,

Arunkumar

et al. 2022

Wireless Communications and Mobile Computing

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“…Where, POD is the extra power required for on demand data communication. The literature reveals [14] that existing MAC protocols well addresses the first two category of communication in the WBANs with minimum power consumption. However, the MAC protocols rarely address the emergency event communication.…”

Section: Traffic In Wbansmentioning

confidence: 99%

Node Prioritization and Dynamic Slot Allocation for Emergency Event Communication in Wbans

Jose,

2023

Preprint

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A leap in the field of Wireless Sensor Networks (WSNs) made the application of this technology widely acceptable for the design of IoT based remote health care devices. Wireless Body Area Networks (WBANs) are one of them that increasingly leveraging these technologies. WBANs incorporate in body or on body sensor nodes located at different points of the body of the stakeholder to monitor and transmit real-time physiological parameters for remote monitoring. The normal and on demand traffic of such devices are well addressed with various MAC protocols. But the emergency event data communication is spontaneously initiated by the corresponding sensor node and this inadvertent activity can lead to packet collision and data loss, which in turn can lead to life threatening situations. This data loss demands for data retransmission and results in more energy consumption at nodes reducing its lifespan. In this paper a novel Dynamic Node Prioritization (DNP) algorithm is proposed to minimize data collision and data loss and thereby reduced energy consumption. The algorithm prioritizes each node based on the nature of the physiological parameter monitored and regularly re-rank the nodes by analysing the emergency event happening at each node. The scheme also proposes a secondary node concept that can improve the clinical condition analysis. The time slot for emergency event communication is dynamically allocated each time an emergency event is reported by sensor node. The dynamic allocation of time slots for high priority nodes improves the system efficiency and thereby guarantee better emergency event data transfer than the existing systems. The performance of the proposed algorithm is measured and analysed in terms of energy efficiency and latency in the normal, on-demand and emergency events.

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“…The data link layer (DLL) is usually enough for the scenario where there is a dedicated path between sender and receiver for data transfer and communication with each other [11]. The need for MAC protocol arises when there is no dedicated path between the sender and receiver to communicate, so multiple stations have access to the channel to share and transmit the data that cause collisions, and cross-talk may occur [12]. Thus, to avoid such collisions and for the successful transmission of data, multiple-access protocol is required.…”

Section: Medium Access Control (Mac) Protocolmentioning

confidence: 99%

Seamless Connections: Harnessing Machine Learning for MAC Optimization in Home Area Networks

Khan,

Kadri

2023

Electronics

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The latest technologies and communication protocols are arousing a keen interest in automation, in which the field of home area networks is the most prominent area to work upon toward solving the issues and challenges faced by wireless home area networks regarding adaptability, reliability, cost, throughput, efficiency, and scalability. However, managing the immense number of communication devices on the premises of a smart home is a challenging task. Moreover, the Internet of Things (IoT) is an emerging global trend with billions of smart devices to be connected in the near future resulting in a huge amount of diversified data. The continuous expansion of the IoT network causes complications and vulnerabilities due to its dynamic nature and heterogeneous traffic. In the applications of IoT, the wireless sensor network (WSN) plays a major role, and to take benefits from WSN, medium access control (MAC) is the primary protocol to optimize, which helps in allocating resources to a huge number of devices in the smart home environment. Furthermore, artificial intelligence is highly demanded to enhance the efficiency of existing systems and IoT applications. Therefore, the purpose of this research paper is to achieve an optimized medium access control protocol through machine learning. The machine learning classifier, e.g., random forest (RF) and linear regression model, is adopted for predicting the features of home area networks. The proposed technique is helpful and could overcome the demerits of existing protocols in relation to scalability, throughput, access delay, and reliability and help in achieving an autonomous home area network (HAN).

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A Comprehensive Survey of Medium Access Control Protocols for Wireless Body Area Networks

Cited by 11 publications

References 54 publications

[Retracted] Secure Techniques for Channel Encryption in Wireless Body Area Network without the Certificate

[Retracted] Secure Techniques for Channel Encryption in Wireless Body Area Network without the Certificate

Node Prioritization and Dynamic Slot Allocation for Emergency Event Communication in Wbans

Seamless Connections: Harnessing Machine Learning for MAC Optimization in Home Area Networks

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