Wireless Body Area Network Technology Research Articles

Low-power body-coupled transceiver for miniaturized body area networks

As wearable devices continue to proliferate, seamlessly integrating them into wireless body-area networks (WBANs) becomes increasingly crucial. Body-coupled communication (BCC) emerges as a promising WBAN technology, utilizing the human body itself as a transmission channel. This paper presents a novel BCC transceiver designed for efficiency and miniaturization. The proposed transceiver prioritizes reliable data transmission with a convolutional encoder. It leverages a simple direct digital synthesizer (DDS) for frequency shift keying (FSK) modulation, minimizing chip area. At the receiver, a Viterbi decoder (VD) ensures accurate data recovery. This design shines in its resource efficiency. It occupies less than 1% of an Artix-7 FPGA, operates at 268.77 MHz with a mere 111 mW power consumption, and achieves a remarkable data rate of 13.78 Mbps. This translates to a hardware efficiency of 44.46 Kbps/slice, surpassing existing transceivers. Moreover, the BCC transceiver exhibits a stellar bit error rate (BER) of over 10⁻⁷ under realistic body channel conditions. Overall, this work presents a highly efficient BCC transceiver with significant improvements in chip area, power consumption, and data rate compared to existing designs. This paves the way for practical and miniaturized WBAN solutions for future wearable applications.

Modeling of Sports Training Simulation Based on Energy Harvesting in Wireless Sensor Networks

For patients with limb motor dysfunction, the effect of physical exercise is directly related to their future quality of life. This article combines the physical training plan of rehabilitation therapists with the training of rehabilitation robots, which can effectively improve the training performance of existing lower limb rehabilitation robots. Therefore, a teaching and training method and a wireless data acquisition system based on energy acquisition wireless network sensor are proposed. Based on wireless wearable technology, wireless network sensors, PCs and electronic devices are used to monitor the activity information of human walking and standing in real time, and the physical fitness is tested by means of mean, variance, and standard deviation. Through the analysis of rehabilitation health, this article consists of two parts: power module and physical exercise. Finally, experiments show that the accuracy of wireless network sensors based on SVM algorithm is the most accurate under physical training. It provides a good means for wireless body area network technology.

A review of wireless body area networks

<span>The widespread adoption of wireless body area network (WBAN) in healthcare presents opportunities to meet the increasing demand for medical services. WBAN enables continuous real-time (RT) monitoring through biomedical sensor nodes positioned in or around a patient's body, collecting vital physiological data. In addition, WBAN imposes stringent criteria for energy efficiency and reliability throughout data collection and transmission. This review paper places significant emphasis on the fundamental concept and essential characteristics of WBAN technology. First, the WBAN features, including architecture, sensor nodes types and network topology is presented. Then, the study explores a wide variety of communication standards and multiple access (MA) mechanism deployed in this technology. Moreover, it discusses open research and challenging issues such as heterogeneous traffic, quality of services (QoS), energy consumption, reliability, interference management, and human body movements effect. Finally, the paper is concluded, and future directions are identified in this evolving field of human health monitoring technology.</span>

Wireless Body Area Network (WBAN) based Health Care Monitoring: A Comprehensive Review

The Internet of Things (IoT) based Wireless Body Area Networks (WBAN), play a very important role in the implementation of IoT devices. It is an upcoming research area in which we implement new advancement techniques, such as various algorithms. In this research, we explore how to secure IoT devices from cyber-attacks and also define how to handle the communication packets between IoT devices. Some IoT devices require more resources for communication so we define the techniques used to reduce these resources. The main purpose of this review is to provide a quick review of all techniques for novice researcher who wants to start their research in this domain. Now the universe is getting smaller due to a sharp growth in scientific and technological research. The development of communication technologies over the past few decades is remarkable. It has gotten harder for medical associates to take care of the patients by coming into the hospital and then personally checking them. The population of the world is increasing and the area is getting smaller. The development of wireless communication has provided a solution to these issues in the form of a remote health monitoring system. The WBAN in the domain of medicine provides the best way for patient monitoring inside or outside the hospital. Through WBAN, we can easily monitor the patient's state without visiting the hospital. WBAN is used in multiple areas such as energy-saving, eHealth monitoring systems to maintain the quality services of data, and many other areas. In this paper, we survey the current state of various aspects of WBAN technologies that are being used in healthcare applications, the targeted area is the eHealth monitoring system. Using multiple WBAN techniques, we aim to identify which techniques are giving better results in data transmission, storing, and maintaining patient data privacy and also identify the best performance using multiple techniques based on the two most important parameters such as ‘throughput’, and ‘delay’. These parameters estimate the overall performance of any WBAN system. We collected data from the last 15 years' papers. The major contribution of this paper is to identify the best technique in e-healthcare among all in terms of delay and throughput used in the past recent years.

Review of wireless body area networks: protocols, technologies, and applications

Nowadays, technology plays a vital part in our daily lives. Especially in medicine, such as consultations, examination, and operation, these processes are necessary and must be utilized accordingly. Medical checkups are required to ensure the patient’s wellbeing. However, many people suffer from severe health conditions and are not always able to leave the house for examination. They are also not aware of potential risks within their body and therefore, don’t feel the need to be examined. With the rise of new technological advantages, new solutions are being presented to tackle those issues. In the field of wireless sensor networks (WSNs), the wireless body area network (WBAN), alongside with its features and functionalities, can be regarded as one of the potential innovations for medicine, military, sport, and entertainment. With its tiny sensors, as well as with its plethora of applications, the WBAN is an excellent choice for remote medical surveillance and treatment. Furthermore, various routing protocols can provide proper solutions, depending on the application needs. However, challenges, such as energy efficiency, and security. are being further developed to improve the needs of its demands. This review is an overview of WBAN technologies, protocols, applications and potential challenges.

Lightweight Privacy-Preserving Remote User Authentication and Key Agreement Protocol for Next-Generation IoT-Based Smart Healthcare

The advancement and innovations in wireless communication technologies including the Internet of Things have massively changed the paradigms of health-based services. In particular, during the COVID-19 pandemic, the trends of working from home have been promoted. Wireless body area network technology frameworks help sufferers in remotely obtaining scientific remedies from physicians through the Internet without paying a visit to the clinics. IoT sensor nodes are incorporated into the clinical device to allow health workers to consult the patients’ fitness conditions in real time. Insecure wireless communication channels make unauthorized access to fitness-related records and manipulation of IoT sensor nodes attached to the patient’s bodies possible, as a result of security flaws. As a result, IoT-enabled devices are threatened by a number of well-known attacks, including impersonation, replay, man-in-the-middle, and denial-of-service assaults. Modern authentication schemes do solve these issues, but they frequently involve challenging mathematical concepts that raise processing and transmission costs. In this paper, we propose a lightweight, secure, and efficient symmetric key exchange algorithm and remote user authentication scheme. Our research proposal presents a successful privacy-protecting method for remote users and provides protection against known attacks. When compared to conventional options, this technique significantly reduces calculation costs by up to 37.68% and transmission costs by up to 32.55%.

Design of The WBAN in The Mobile Health Monitoring System

WBAN (Wireless Body Area Network) technology is used in this study to provide an integrated health monitoring platform. The device utilizes MLX90615 for measuring body temperature, a Blood Pressure Sensor for measuring blood pressure and pulse rate, and a MAX30102 Sensor for measuring blood oxygen and blood glucose levels. The output of this utility is displayed on an OLED screen and is controlled by the NODEMCU ESP8266. The test reveals an accuracy of 94.8%, indicating that the instrument can provide accurate results and has a relatively low error rate on each sensor. Heart Rate Error on Blood Pressure Sensor 0; Spo2 Error on MAX 30102 Sensor 1; and Blood Sugar Error on MAX 30102 Sensor 2.0. Real-time health monitoring that is more accurate and efficient. This device has the potential to be a practical solution for routine health monitoring and provides significant benefits for maintaining health.

Hash message authentication codes for securing data in wireless body area networks

SummaryThere are numerous medical applications for the growing use of wireless body area networks (WBANs), including remote patient health monitoring, early illness detection, and computer‐assisted rehabilitation. WBAN links many sensor nodes implanted or affixed to the human body to monitor physiological data. WBAN technology has the potential to benefit medical healthcare systems tremendously. However, the gathering and transferring sensitive physiological data in an unprotected environment raises severe security and privacy concerns. The limited resources and broadcast transmission of a WBAN pose grave safety issues in biomedical applications. Keeping sensitive patient data safe during broadcasts is critical in the healthcare business. As a result of the massive memory and processing requirements required by traditional public or private key architectures, tiny sensor nodes cannot use them. WBAN sensor nodes can communicate securely using the KHMAC key‐agreement technique proposed in this article. Measurements and confirmations of shared physiological parameters at the transmitter and recipient sensors are key to the proposed protocol KHMAC before communication is established. The proposed KHMAC protocol enables sensors to use their prior session knowledge for secure communication within a predetermined time window. This will shorten the time it takes to establish a shared key, prevent the retransmission of extracted characteristics in the medium and eavesdropping attacks, and preserve the unpredictability of the key. Both the feature extraction and key agreement stages will be shown to have higher precision and lower error rates with KHMAC's proposed key management methodology. The proposed protocol is proven to be more energy and memory efficient than existing key agreement systems.

Mathematical Channel Modeling of Electromagnetic Waves in Biological Tissues for Wireless Body Communication

In the wireless body area network (WBAN), radio propagations from devices that communicate with the human body are very complex and distinctive compared to other environments. As we know, the human body is a lossy channel that significantly attenuates the propagation of electromagnetic waves (EMW). Therefore, channel models are critical in evaluating the communication link. One of the most predominant models is the path loss channel model, which is used to cover a wide range of communication channels and frequency bands in WBAN. This paper investigates the EMW in a human model irradiated by an incident electromagnetic plane wave. A planar multilayer structure is used for modeling human tissue. Moreover, the steady-state electromagnetic distribution is calculated by solving the differential and integral equations (DIE) by using the method of moments (MoM). The obtained results demonstrate the great use of performing a theoretical analysis for path loss (PL) and power loss density (PLD) estimation. The magnitude of the electric field inside muscle tissue at various depths, and with the most important frequencies in medical applications, is evaluated. This investigation provides evidence that the penetration of EMW in biological tissue strongly depends on the frequency and thickness of the tissue involved. Thus, for different examined conditions, an excellent agreement between recent results that were obtained by an analytical method, finite element (FEM), and the proposed MoM method is verified to be valid in this investigation, and it is found that the distribution of the field, PL, and PLD for different communication scenarios is very promising to determine the quality of communication for WBAN technology.

The Effect of Using Array Technique on Semi-Circular Patch Microstrip Antenna with 2.4 GHz Frequency in Supporting Wireless Body Area Network Technology

This paper aims to design a semi-circular patch microstrip antenna that can work at a frequency of 2.4 GHz (band 2360 MHz - 2400 MHz) to support Wireless Body Area Network technology (WBAN). One of the devices connected to WBAN technology is a Holter monitor and medical data recorder that forms a medical network for post-operative or monitoring ICU patients (Intensive Care Unit). To support one of the WBAN technologies, an antenna is needed that has considerable gain and bandwidth characteristics. To increase the gain and bandwidth, the array method is used on antennas with inset feed unification. The antenna design was simulated using CST Studio Suite 2019. The use of array methods on microstrip antennas can increase the gain by 132.9%, which is 5.73 dB. The simulation results obtained a return loss of -17.223 dB with a bandwidth of 88.3 MHz in the frequency range of 2357.6 MHz - 2445.9 MHz

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

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.

Mitigation of packet loss with end-to-end delay in wireless body area network applications

The wireless body area network (WBAN) has been proposed to offer a solution to the problem of population ageing, shortage in medical facilities and different chronic diseases. The development of this technology has been further fueled by the demand for real-time application for monitoring these cases in networks. The integrity of communication is constrained by the loss of packets during communication affecting the reliability of WBAN. Mitigating the loss of packets and ensuring the performance of the network is a challenging task that has sparked numerous studies over the years. The WBAN technology as a problem of reducing network lifetime; thus, in this paper, we utilize cooperative routing protocol (CRP) to improve package delivery via end-to-end latency and increase the length of the network lifetime. The end-to-end latency was used as a metric to determine the significance of CRP in WBAN routing protocols. The CRP increased the rate of transmission of packets to the sink and mitigate packet loss. The proposed solution has shown that the end-to-end delay in the WBAN is considerably reduced by applying the cooperative routing protocol. The CRP technique attained a delivery ratio of 0.8176 compared to 0.8118 when transmitting packets in WBAN.

Recent Advancement of Wearable Reconfigurable Antenna Technologies: A Review

Wireless Body Area Network (WBAN) technology is gaining popularity in personal communication due to the expanding improvement in wireless technology. Wearable antennas are utilized in various WBAN applications including personal healthcare, entertainment, military, and many more due to their attractive characteristics and the potential for integrating lightweight, compact, low-cost, and adaptable wireless communications. A wearable reconfigurable antenna will allow a single antenna to operate at multiple resonant frequencies, radiation, polarization or hybrid between them, by using single or multiple active switching devices for signal transmission and reception in different parts of human body, rather than using multiple antennas. Over the years, several review papers were reported on wearable antennas which discussed the requirements and issues of wearable antennas in terms of their design, fabrication, and measurement. Nowadays, WBAN technology employs a single wearable reconfigurable antenna to perform multiple functions in different parts of human body. Recently, a significant amount of work has been carried out in the area of wearable reconfigurable antennas for WBAN applications. This paper presents a comprehensive review of the requirements and analysis needed for wearable reconfigurable antennas such as Specific Absorption Rate (SAR) for on-body analysis, investigation of the antennas in bending conditions, reconfigurable techniques and reconfigurable performance metrics.

A Dynamic Fuzzy Engine for Adaptive Control towards improvement of Network Performance in Big Data Environment

With increasing computational utilities in recent times, the need for systems capable of processing immense and voluminous amount of information has witnessed an exponential rise. Concepts of cloud computing and Big Data have proved to be promising solutions to the emerging problems of handling huge volume of data. Big data finds utilities over a wide range of applications starting from sensor networks, data processing involving image acquisition of high-definition data (HD), predictor models involving huge volumes of historical data, classification models involving sentimental analysis, emotion analysis etc. A classic case of big data processing in sensor networks for an IoT environment has been investigated in this research paper with the sole objective of tuning the network performance using a dynamic fuzzy based model. The experimentation has been conducted on a wearable technology database based on IoT comprising of several sensors incorporated in a WBAN (Wireless body area network) technology. Superior performance is reported in the form of improved computation time, accuracy, precision when compared with the big data model without fuzzy engine.

Wireless network security game based on conditional privacy policy

With the development of Internet technology, wireless body area network technology is proposed to improve people’s scientific and technological information level in this environment. Since the information collected and processed by wireless body area network is the privacy data of users, security and privacy are the focus of wireless body area network research. In this paper, a scheme to establish a variable radius mixing region is proposed. This scheme obtains the combined communication range by analyzing the user privacy conditions after the hybrid zone is established. According to the different conditions of users, a variable radius dynamic hybrid zone was established to maximize benefits. After the establishment of the hybrid zone is initiated, the members in the zone use the temporary symmetric secret key obtained from the unit for encrypted communication to ensure the demand for real-time message transmission. And finally an anonymous change protocol is proposed. The experimental data prove the feasibility of the renaming scheme of the mixed zone. Compared with other methods, the computation and traffic of this protocol are increased by 7% and 9 % respectively. The validation efficiency of batch validation algorithm is 93 %. The scheme in this paper is more flexible than the establishment of other fixed mixed zones, and the accuracy of this scheme is more accurate than the establishment of general dynamic mixed zones. Finally, it is proved that this scheme not only meets the conditional privacy policy but also uses the model to establish a dynamic hybrid area, which has more accurate accuracy and lower computational consumption, and plays an important role in the security protection of network privacy.

Wireless Body Area Networks for Healthcare

Motivated by the increasing need for improved healthcare solutions, wireless body area networks (WBANs) have shown their great potential in revolutionizing the next generation healthcare through enabling continuous monitoring of health status with early detection of abnormal situations. Such networks are able to support a diverse range of applications with traffic rates ranging from several bits per hour up to 10 megabits per second. For the efficient functionality of these applications, each one poses a specific set of quality of service (QoS) requirements to the medium access control (MAC) sub-layer including transmission reliability, timeliness, and throughput. However, energy limitations of WBANs make the satisfaction of these requirements a challenging task. The current paper aims to explore the application trends of WBANs in the health field as well as the salient features of the MAC protocols proposed for this class of networks and to provide a general rule indicating the most suitable MAC technology for WBANs based on the characteristics of the targeted application.

Securing Wireless Body Area Network with Efficient Secure Channel Free and Anonymous Certificateless Signcryption

In the last few years, the wireless body area network (WBAN) has emerged as an appealing and viable option in the e-health application domain. WBAN technology is primarily used to offer continuous screening of health data to patients, independent of their location, time, or activity. A WBAN, on the other hand, is vulnerable to different cyberattacks due to the openness of the wireless environment and the privacy of people’s physiological data. A highly efficient and secure cryptographic scheme that can fulfill the needs of resource-constrained WBAN sensors and devices is considered necessary. First, we take a look at the most up-to-date security solutions for WBANs. Then, we go through some of the underlying concerns and challenges with WBAN security. We propose a new framework called secure channel free certificateless signcryption scheme for WBANs based on a hyperelliptic curve that can meet security requirements such as confidentiality, anonymity, integrity, resistance against unauthorized users, unforgeability, public verifiability, forward secrecy, and antireplay attack, all of which can be achieved with low computation and communication costs. The computation cost of the proposed scheme is 3.36 ms, which is much better than its counterpart schemes.

PERANCANGAN ALAT KESEHATAN WIRELESS BODY AREA NETWORK MULTISENSOR BERBASIS APLIKASI ANDROID

In this study, we designed a multisensory medical device to carry out a process of monitoring body health that was integrated into the system so that the patient's health could be detected. This tool uses Wireless Body Area Network technology that can work with Android-based platforms in real time. In designing this tool, it is designed to detect body health automatically by displaying information about body temperature, blood pressure, heart rate and oxygen levels in the blood, then sending notifications to the server without wasting time, and recording physical health information data automatically. Real-time display on the smartphone, owned by the user and provides a readable body health status that is healthy, an indication or needs action.

Transmission Analysis in Human Body Communication for Head-Mounted Wearable Devices

As society ages, wireless body area networks (WBANs) are expected to increasingly improve the quality of life of the elderly and disabled. One promising WBAN technology is human body communication (HBC), which utilizes part of the human body as a transmission medium. Communication between head-mounted wearable devices, such as hearing aids, is a potential HBC application. To clarify the HBC transmission mechanism between head-mounted wearable devices, this study analyzes the input impedance characteristics of the transceiver electrodes, transmission characteristics, and electric field distributions around and through a detailed head model. The investigation was performed via an electromagnetic field simulation. The signal frequency had less effect on the transmission characteristics and electric field distributions at 10, 20, and 30 MHz. However, the transmission mechanism between the head-mounted wearable devices was influenced by the number of electrodes in the transceiver. Moreover, the transmission characteristics between two-electrode transceivers were improved by impedance matching. Finally, the availability of the proposed system was evaluated from power consumption and human safety perspectives.

Efficient Key Agreement Algorithm for Wireless Body Area Networks Using Reusable ECG-Based Features

Wireless Body Area Networks (WBANs) are increasingly employed in different medical applications, such as remote health monitoring, early detection of medical conditions, and computer-assisted rehabilitation. A WBAN connects a number of sensor nodes implanted in and/or fixed on the human body for monitoring his/her physiological characteristics. Although medical healthcare systems could significantly benefit from the advancement of WBAN technology, collecting and transmitting private physiological data in such an open environment raises serious security and privacy concerns. In this paper, we propose a novel key-agreement protocol to secure communications among sensor nodes of WBANs. The proposed protocol is based on measuring and verifying common physiological features at both sender and recipient sensors prior to communicating. Unlike existing protocols, the proposed protocol enables communicating sensors to use their previous session pre-knowledge for secure communication within a specific period of time. This will reduce the time required for establishing the shared key as well as avoid retransmitting extracted features in the medium and hence thwarting eavesdropping attacks while maintaining randomness of the key. Experimental results illustrate the superiority of the proposed key agreement protocol in terms of both feature extraction and key agreement phases with an accuracy of 99.50% and an error rate of 0.005%. The efficacy of the proposed protocol with respect to energy and memory utilization is demonstrated compared with existing key agreement protocols.