Wireless Body Sensor Networks for Patient Health Monitoring

2020 ◽  
pp. 132-154
Author(s):  
Bhanu Chander
Keyword(s):  
Energy Savings ◽  
Health Management ◽  
Wireless Body Area Network ◽  
Research Field ◽  
Sensor Nodes ◽  
Medical Examiner ◽  
Body Sensor Networks ◽  
Area Network ◽  
Patient Health ◽  
Wireless Body Sensor Networks

Remote medical health management is the most attractive research field in the domain of WSN. Wireless body area network (WBAN) produces constant, unbroken observation of the patient. Basically, WBAN acts as the appliance of internet of things (IoT) which offers an opportunity to a medical examiner to supervise chronic disease. Dissimilar protocols, guidelines, policies have been developed and developing in the last decade. In WBAN, minute power sensor nodes deployed toward capturing unusual essential signs of patients at home, hospitals in support of analysis purpose and furthermore advise suitable procedures. The main goal of this chapter is to introduce a complete and advanced understanding of WBANs, energy savings methods, human activity monitoring procedures, challenges and research issues, applications, and a comprehensive literature survey.

scholarly journals Challenges and Applications of Wireless Body Area Networks

2019 ◽  
Vol 8 (9S) ◽  
pp. 547-554 ◽  
Keyword(s):  
Wireless Body Area Network ◽  
Body Area Networks ◽  
Wireless Body Area Networks ◽  
Climatic Conditions ◽  
Body Sensor Networks ◽  
Area Network ◽  
Sensing Element ◽  
Body Area ◽  
Deep Roots ◽  
Technical Problems

Modified low-power, ultra-slim, light in weight, intelligent devices are the result of recent advances in technology. Wireless Body Area Network (WBAN) is a replacement technology that can be used to incorporate these devices & thereby provide health monitoring applications in healthcare. Further development of wireless communications in recent years has led to the use of sensing element networks, which are low priced. These networks have a wide variety of applications. Various technical problems in these application areas are being resolved by researchers across the world. These sensing component networks play a significant role in healthcare. These networks have deep roots in various sectors viz; engineering, medicine& science & can show good performance even in harsh climatic conditions. Therefore, this paper provides an associated degree of exposure for the analysis and applications of wireless body area networks (WBAN’s), and body sensor networks (BSN’s). Apart from it, it addresses a wide variety of challenges in these technologies.

scholarly journals SPINE-BASED APPLICATION DEVELOPMENT ON HETEROGENEOUS WIRELESS BODY SENSOR NETWORKS

2010 ◽  
pp. 80-89
Author(s):  
Giancarlo Fortino ◽  
Stefano Galzarano ◽  
Roberta Giannantonio ◽  
Raffaele Gravina ◽  
Antonio Guerrieri
Keyword(s):  
Sensor Networks ◽  
Recognition System ◽  
Sensor Nodes ◽  
Physical Contact ◽  
Wireless Sensor ◽  
Body Sensor Networks ◽  
Application Development ◽  
Wide Range ◽  
Ubiquitous And Pervasive Computing ◽  
Wireless Body Sensor Networks

Wireless sensor networks (WSNs) are a novel technology enabling new classes of applications and systems for ubiquitous and pervasive computing. In particular, WSNs for the human body, also known as Wireless Body Sensor Networks (WBSNs), will enable not only continuous, multi-purpose monitoring of people but also will support social interaction among people coming into physical contact. In these contexts, applications demand a wide range of functionalities, in terms of sensor types, processing performance, communication capabilities. Moreover the development of such applications has to deal with the issue of handling heterogeneous WBSNs since different kinds of sensor node architectures could be necessary to fulfill all the application requirements. This paper proposes an approach based on the SPINE frameworks (SPINE1.x and SPINE2) for the programming of signal processing applications on heterogeneous wireless sensor platforms. In particular, two integrable approaches based on the proposed frameworks are described that allow the development of applications for WBSNs constituted by heterogeneous sensor nodes. The approaches are exemplified through a human activity recognition system based on a WBSN composed of two types of sensor nodes, heterogeneous with respect to base software and hardware.

Energy Efficient Wireless Body Area Network (WBAN)

2017 ◽  
pp. 413-432
Author(s):  
Prasenjit Maiti ◽  
Sourav Kanti Addya ◽  
Bibhudatta Sahoo ◽  
Ashok Kumar Turuk
Keyword(s):  
Health Monitoring ◽  
Wireless Body Area Network ◽  
Vital Signs ◽  
Sensor Nodes ◽  
Area Network ◽  
Body Area ◽  
Privacy Concerns ◽  
Research Areas ◽  
Information Privacy Concerns ◽  
The Cost

Healthcare expenses are a growing concern in most countries. This has forced medical researchers to look for trusted and ambulatory health monitoring of patient's vital signs. The objective is to reduce patient visits and the use of medical and support staff for frequent examinations. Wireless Body Area Networks (WBAN) consist of implanted, or worn, tiny health monitoring sensor nodes so that the vital body parameters and the movements of the patient can be recorded and communicated to the medical facilities for processing, diagnosis and prescription. WBAN is required to have small form and low power consumption. Reducing energy consumption of the sensor and communication equipment is one of the key research areas. It is also important for WBAN be secure, protected and reliable. Failure to acquire authentic and correct medical data may prevent a patient from being treated effectively, or even lead to wrong treatments. As patient identity can be obtained by correlating physiological information, privacy concerns must be addressed for wide acceptance of the technology. While security is paramount, the cost of implementing security techniques in WBAN may be prohibitive. It, therefore, becomes necessary to find cryptographic solutions that consume less energy. Research efforts are being made to reduce the cost of cryptography used in WBAN. In this paper authors discuss the current and future security solutions for low energy WBAN.

scholarly journals Equalized Energy Consumption in Wireless Body Area Networks for a Prolonged Network Lifetime

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Maryam El Azhari ◽  
Nadya El Moussaid ◽  
Ahmed Toumanari ◽  
Rachid Latif
Keyword(s):  
Energy Consumption ◽  
Network Lifetime ◽  
Wireless Body Area Network ◽  
Residual Energy ◽  
Base Station ◽  
Sensor Nodes ◽  
Physiological Data ◽  
Area Network ◽  
Body Area ◽  
Distributed Sensors

The phenomenal advances in electronics contributed to a widespread use of distributed sensors in wireless communications. A set of biosensors can be deployed or implanted in the human body to form a Wireless Body Area Network (WBAN), where various WBAN PHY layers are utilized. The WBAN allows the measurement of physiological data, which is forwarded by the gateway to the base station for analysis purposes. The main issue in conceiving a WBAN communication mechanism is to manage the residual energy of sensors. The mobile agent system has been widely applied for surveillance applications in Wireless Sensor Networks (WSNs). It consists in dispatching one or more mobile agents simultaneously to collect data, while following a predetermined optimum itinerary. The continuous use of the optimal itinerary leads to a rapid depletion of sensor nodes batteries, which minimizes the network lifetime. This paper presents a new algorithm to equalize the energy consumption among sensor motes. The algorithm exploits all the available paths towards the destination and classifies them with respect to the end-to-end delay and the overall energy consumption. The proposed algorithm performs better compared to the optimal routing path. It increases the network lifetime to the maximum by postponing routing of data via the most-recently used path, and it also maintains data delivery within the delay interval threshold.

scholarly journals Multi-Objective Optimization of a Wireless Body Area Network for Varying Body Positions

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3406 ◽  
Author(s):  
Łukasz Januszkiewicz ◽  
Paolo Di Barba ◽  
Sławomir Hausman
Keyword(s):  
Wireless Body Area Network ◽  
Design Procedure ◽  
Wireless Channel ◽  
The Body ◽  
The Other ◽  
Sensor Nodes ◽  
Field Analysis ◽  
Evolutionary Strategy ◽  
Area Network ◽  
Body Area

The purpose of this research was to improve the performance of a wireless body area sensor network, operating on a person in the seated and standing positions. Optimization-focused on both the on-body transmission channel and off-body link performance. The system consists of three nodes. One node (on the user’s head) is fixed, while the positions of the other two (one on the user’s trunk and the other on one leg) with respect to the body (local coordinates) are design variables. The objective function used in the design process is characterized by two components: the first controls the wireless channel for on-body data transmission between the three sensor nodes, while the second controls the off-body transmission between the nodes and a remote transceiver. The optimal design procedure exploits a low-cost Estra, which is an evolutionary strategy optimization algorithm linked with Remcom XFdtd, a full-wave Finite-Difference Time-Domain (FDTD) electromagnetic field analysis package. The Pareto-like approach applied in this study searches for a non-dominated solution that gives the best compromise between on-body and off-body performance.

scholarly journals Channel Characteristic Aware Privacy Protection Mechanism in WBAN

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2403 ◽  
Author(s):  
Puning Zhang ◽  
Jie Ma
Keyword(s):  
Information And Communication Technologies ◽  
Key Management ◽  
Privacy Protection ◽  
Exchange Process ◽  
Wireless Body Area Network ◽  
Sensor Nodes ◽  
Area Network ◽  
User Privacy ◽  
Protection Mechanism ◽  
Channel Characteristic

Advances of information and communication technologies in medical areas have led to the emergence of wireless body area network (WBAN). The high accessibility of media in WBAN can easily lead to the malicious tapping or tampering attacks, which may steal privacy data or inject wrong data. However, existing privacy protection mechanisms in WBAN depend on the third-party key management system and have a complex key exchange process. To enhance user privacy at a low cost and with high flexibility, a channel characteristic aware privacy protection mechanism is proposed for WBAN. In the proposed mechanism, the similarity of RSS is measured to authenticate nodes. The key extraction technique can reduce the cost of the key distribution process. Due to the half duplex communication mode of sensors, the biased random sequences are extracted from the RSS of sensor nodes and coordinator. To reduce the inconsistency, we propose the n-dimension quantification and fuzzy extraction, which can quickly encrypt the transmission information and effectively identify malicious nodes. Simulation results show that the proposed mechanism can effectively protect user privacy against tampering and eavesdropping attacks.

scholarly journals Reinforcement Learning Based Clock Synchronization in WBAN

2018 ◽  
Vol 7 (2) ◽  
pp. 34-39
Author(s):  
Pallvi . ◽  
Sunil Kumar Gupta ◽  
Rajeev Kumar Bedi
Keyword(s):  
Reinforcement Learning ◽  
Loss Rate ◽  
Clock Synchronization ◽  
Mac Protocol ◽  
Wireless Body Area Network ◽  
Sensor Nodes ◽  
Area Network ◽  
Body Area ◽  
Packet Collision ◽  
Comprehensive Collection

Wireless Body Area Network (WBAN) is an application of wireless sensor network (WSN). WBAN therefore forms a comprehensive collection of devices that are not only capable of providing continuous information about the health status of a person but also offers helpful details about the activities and environment of the person. In this paper, we have evaluated TDMA based MAC protocol performance through several metrics and TDMA approach is used to avoid packet collision which leads to higher packet loss rate. Reinforcement Based Clock synchronization is the solution of problem like packet collision. After clocks of WBAN sensor nodes are synchronized, data can be transferred between sensor nodes and sink efficiently and rapidly. Reinforcement learning iteratively optimizes the clock synchronization technique. Experimental results indicate that the proposed algorithm is more efficient than existing techniques.

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