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Mitigating Interference In Wireless Body Area Networks And Harnessing Big Data For Healthcare


Mitigating Interference In Wireless Body Area Networks And Harnessing Big Data For Healthcare
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Mitigating Interference In Wireless Body Area Networks And Harnessing Big Data For Healthcare


Mitigating Interference In Wireless Body Area Networks And Harnessing Big Data For Healthcare
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Author : Anagha Jamthe
language : en
Publisher:
Release Date : 2015

Mitigating Interference In Wireless Body Area Networks And Harnessing Big Data For Healthcare written by Anagha Jamthe and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.


Wireless Body Area Network (WBAN) has become an important field of research that could provide cost effective solution for ubiquitous health care monitoring of human body. In recent past, it has attracted attention from several researchers due to its potential applications in various disciplines including health care, sports-medicine, entertainment, etc. It is rapidly replacing wired counterparts due to its several attractive features such as light-weight easy portability, support for real time remote monitoring, ease of use, etc. Users of WBANs are increasing exponentially as more people are embracing wearable monitoring devices for numerous health care causes. Interference is considered to be one of the major issues in WBANs, which arises primarily due to close proximity of other WBANs, random human mobility, and distributed nature of people carrying WBANs. Coexisting WBANs have great chance of interference, which might degrade the network performance. If left unchecked, interference can cause serious threat to reliable operation of the network. It could cause to loss of critical medical data of patients, which might even prove to be life threatening. The primary motivation behind this dissertation is to avoid such a situation by using various interference mitigation techniques. Graceful coexistence could be ensured by scheduling the transmissions between co-existing WBANs. MAC layer is responsible for scheduling data transmissions and coordinating nodes' channel access that avoids possible collisions during data transmissions. In this dissertation, we have attempted to address intra-WBAN and inter-WBAN interference issues. We model a fuzzy logic based inference engine to make decisions while scheduling transmissions in isolated WBANs. For coexisting WBANs, due to its distributed nature and lack of central coordinator, we propose a QoS based MAC scheduling approach that avoids inter-WBAN interference. Our proposed MAC scheduling scheme can be used for improving network performance, which is also confirmed from the results. We also discuss one of the important challenges in modeling such a MAC schemes, which is random human mobility. In this dissertation we also discuss leveraging big data technology for healthcare. The use of wearable devices is growing tremendously so is the data generated from it. In order to efficiently convert this big data into a useful resource of information, which can be used for diagnosis or prognosis, a need for distributed parallel framework arises. Using the latest big data solutions we can efficiently store and process the healthcare sensor data. This offers a cheaper, reliable and faster computation as compared to traditional database management systems. Various analytic methods for clinical prediction can be used with this framework to enable automated learning and accurate prediction. We discuss in this dissertation, the emerging technologies for WBAN such as implant medical sensor devices and the communication standards associated with them. The emerging technologies Near field communication and Beacon can be harnessed to develop a smart medicine management mobile application. We conclude this dissertation by identifying future directions on data security in WBANs and implementation of personalized medicine.



Wireless Body Area Networks


Wireless Body Area Networks
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Author : Mohamad Jaafar Ali
language : en
Publisher:
Release Date : 2017

Wireless Body Area Networks written by Mohamad Jaafar Ali and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.


A Wireless Body Area Network (WBAN) is a short-range network that consists of a coordinator (Crd) and a collection of low-power sensors that can be implanted in or attached to the human body. Basically, WBANs can provide real-time patient monitoring and serve in various applications such as ubiquitous health-care, consumer electronics, military, sports, etc. [1]. As the license-free 2.4 GHz ISM band is widely used among WBANs and across other wireless technologies, the fundamental problem is to mitigate the resulting co-channel interference. Other serious problems are to extend the network lifetime and to ensure reliable transmission within WBANs, which is an urgent requirement for health-care applications. Therefore, in this thesis, we conduct a systematic research on a few number of research problems related to radio co-channel interference, energy consumption, and network reliability. Specifically, we address the following problems ranging from theoretical modeling and analysis to practical protocol design: • Intra-WBAN interference mitigation and avoidance • Cooperative inter-WBAN interference mitigation and avoidance • Non-cooperative inter-WBAN interference mitigation and avoidance • Interference mitigation and avoidance in WBANs with IoT Firstly, to mitigate the intra-WBAN interference, we present two mechanisms for a WBAN. The first is called CSMA to Flexible TDMA combination for Interference Mitigation, namely, CFTIM, which dynamically allocates time-slots and stable channels to lower the intra-WBAN interference. The second is called Interference Avoidance Algorithm, namely IAA that dynamically adjusts the superframe length and limits the number of channels to 2 to lower the intra-WBAN interference and save energy. Theoretically, we derive a probabilistic model that proves the SINR outage probability is lowered. Simulation results demonstrate the effectiveness and the efficiency of CFTIM and IAA in terms of lowering the probability of interference, extending network lifetime, improving throughput and reliability. Secondly, we address the problem of interference among cooperative WBANs through using orthogonal codes. Motivated by distributed time provisioning supported in IEEE 802.15.6 standard [2], we propose two schemes. The first is called Distributed Time Correlation Reference, namely, DTRC that provides each WBAN with the knowledge about which superframes overlap with each other. The second is called Orthogonal Code Allocation Algorithm for Interference Mitigation, namely, OCAIM, that allocates orthogonal codes to interfering sensors belonging to sensor interference lists (SILs), which are generated based on the exchange of power-based information among WBANs. Mathematically, we derive the successful and collision probabilities of frames transmissions. Extensive simulations are conducted and the results demonstrate that OCAIM can diminish the interference, improve the throughput and save the power resource. Thirdly, we address the problem of co-channel interference among non-cooperative WBANs through time-slot and channel hopping. Specifically, we propose two schemes that are based on Latin rectangles. The first is called Distributed Algorithm for Interference mitigation using Latin rectangles, namely, DAIL that allocates a single channel to a timeslot combination to each sensor to diminish inter-WBAN interference and to yield better schedules of the medium access within each WBAN. The second is called Channel Hopping for Interference Mitigation, namely, CHIM, which generates a predictable interference free transmission schedule for all sensors within a WBAN. CHIM applies the channel switching only when a sensor experiences interference to save the power resource. Furthermore, we present an analytical model that derives bounds on collision probability and throughput for sensors transmissions. (...).



Body Area Networks Smart Iot And Big Data For Intelligent Health Management


Body Area Networks Smart Iot And Big Data For Intelligent Health Management
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Author : Masood Ur Rehman
language : en
Publisher:
Release Date : 2022

Body Area Networks Smart Iot And Big Data For Intelligent Health Management written by Masood Ur Rehman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.


This book constitutes the refereed post-conference proceedings of the 16th International Conference on Body Area Networks, BodyNets 2021, held in October 2021. The conference was held virtually due to the COVID-19 pandemic. The 21 papers presented were selected from 44 submissions and issue new technologies to provide trustable measuring and communications mechanisms from the data source to medical health databases. Wireless body area networks (WBAN) are one major element in this process. Not only on-body devices but also technologies providing information from inside a body are in the focus of this conference. Dependable communications combined with accurate localization and behavior analysis will benefit WBAN technology and make the healthcare processes more effective.



Wireless Body Area Networks


Wireless Body Area Networks
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Author : Jie Dong
language : en
Publisher:
Release Date : 2015

Wireless Body Area Networks written by Jie Dong and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.


The global trends for dramatic population growth and an ageing society are likely to increase the strain on scarce medical resources in the coming decades. The next generation of personal area networks, Wireless Body Area Networks (BANs), provide a promising solution to this problem with advantages of, e.g. high flexibility, low cost, location independence, real-time monitoring etc... Hence the use of BAN is becoming pervasive. However, the increasing number of active BAN units is a challenge as significant co-channel radio interference is generated, which often causes severe performance degradation and harms system reliability. Because of the difficulty of global coordination amongst multiple, coexisting and uncoordinated, BANs, due to significant dynamics, effective interference management schemes are urgently needed to enable reliable coexistence. Here the main theme is the investigation of the feasibility and efficiency of some co-channel interference mitigation schemes for BANs. The schemes we study in this thesis are based on the following: 1) cooperative communications with relays; 2) transmit power control; and 3) a cross layer design that integrates 1) and 2). Two types of power control methods are investigated: a) the first is a light-weight prediction-based power control method, which adaptively adjusts transmit power, at the sensors and relays, with respect to channel condition variations; b) the second method employs game theory and models the coexistence as a non-cooperative game. These techniques have been studied for other conventional wireless networks in the literature. However, there is very-limited work for radio interference mitigation for BANs. Another main contribution here is, instead of using channel models as presented in the literature, many open-access empirical body-centric channel measurements are used for the investigation of interference mitigation schemes proposed. These measurements contain subjects performing different ̀èveryday'' activities over many hundreds of hours in various environments. The use of the measurements in our study further enhances this by capturing factors that can significantly influence the on-body and inter-body channels. These factors include variations in body shapes and sizes of different subjects, subjects' local and spatial movement, body orientation and the effect of the surrounding environment. The performance, of the proposed schemes, is compared with traditional single-hop star-topology BANs for the same coexisting scenarios and BANs employing other conventional power control methods commonly used in the literature. We analyse their effectiveness with respect to first- and second-order statistics, particularly outage probability, level crossing rate, and average outage/non-outage duration, of the received packets' SINR at the hub of a BAN. The power consumption of using the proposed schemes is also compared with other schemes. Finally, it is shown that employing relays and the proposed power control schemes can greatly enhance a BAN's ability to mitigate co-channel radio interference. The use of a non-cooperative power control game enforces BANs to minimise the interference they create in the coexisting environment while maintaining reliability requirements. Importantly, there is fast convergence to a socially optimum outcome. Overall, there is significant impetus to using the schemes proposed here in future, practical, BAN implementations, as elucidated in this dissertation.



Wireless Body To Body Sensor Networks


Wireless Body To Body Sensor Networks
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Author : Amira Meharouech Ali
language : en
Publisher:
Release Date : 2016

Wireless Body To Body Sensor Networks written by Amira Meharouech Ali and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.


Motivated by the rising demand for remote and improved healthcare, while decreasing the cost of using network infrastructures to ensure time and data rate-constrained applications, Wireless Body Area Networks (WBANs) still form a strongly growing research field. Besides, engineers and researchers are investigating new solutions to supplement mobile communications through developing opportunities for cooperative WBANs. In this context, using network users themselves as relays could complement and extend existing infrastructure networks, while improving network capacity and promoting radio spectrum usage. Yet, network operators, that are already planning for the Internet of Things (IoT) and cloud computing technologies integration, should also think about this new possibility of creating a new type of mobile ad hoc network, where network users themselves are used as simplified ad hoc base stations, to fulfill the desire of sharing real-time information between colocated persons carrying body sensors. This emerging type of network is called Body-to-Body Network (BBN). In a BBN, a radio device situated on one person gathers the sensor data from the sensor nodes worn by that person, and transmit them to a transceiver situated on another person in the nearby area, in order to be processed or relayed to other BBN users. BBNs can find applications in a range of areas such as healthcare, team sports, military, entertainment, as well as exciting social networking experiences. Operating in the popular Industrial, Scientific and Medical (ISM) band, the communication links in a BBN will be heavily susceptible to interference between the different radio technologies sharing the limited radio spectrum. Thus, inter-body interference become an important concern for protocol design and quality of service for the BBN end user. Yet, higher layer MAC and networking mechanisms need to be in place to overcome this interference problem. To date, very few studies, that perform in-depth analysis of this type of body-centric scenario, exist. The interference problem in such distributed system, should be tackeled with distributed mechanisms, such as Game Theory. The decision makers in the game are either the WBANs/people forming the BBN or the network operators who control the inter-WBAN communicating devices. These devices have to cope with a limited transmission resource (ISM band) that gives rise to a conflict of interests. This thesis aims at exploring the opportunities to enable inter-WBAN communications by ensuring feasible sharing of the radio spectrum through two challenging research issues. First, mutual and cross-technology interference mitigation, and second, the design of a BBN specific routing protocol applied to an epidemic control application within mass gathering areas, such as the airport, as use case in this thesis. In a first phase, a game theoretical approach is proposed to resolve the distributed interference problem in BBNs. The Socially-aware Interference Mitigation (SIM) game performs twofold: at the WBAN stage, it allocates ZigBee channels to body sensors for intra-WBAN data sensing, and at the BBN stage, it allocates WiFi channels to mobile devices for inter-WBAN data transmitting and relaying. Two algorithms, BR-SIM and SORT-SIM, were developed to search for Nash equilibra to the SIM game. The first (BR-SIM) ensures best response solutions while the second (SORT-SIM) attempts to achieve tradeoff between sub-optimal solutions and short convergence time. Then, in order to highlight the social role of BBNs, the second part of this thesis is devoted to propose an epidemic control application tailored to BBNs, in indoor environment. This application implements a geographic routing protocol, that differentiates WBANs traffic and ensures real-time quarantine strategies. (...).



Adaptive Scanning For Mobile Wireless Body Area


Adaptive Scanning For Mobile Wireless Body Area
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Author : Rani Kumari
language : en
Publisher:
Release Date : 2023-10-19

Adaptive Scanning For Mobile Wireless Body Area written by Rani Kumari and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-19 with Computers categories.


Adaptive Scanning for Mobile Wireless Body Area Networks: Enhancing Healthcare Connectivity Mobile wireless body area networks (WBANs) have emerged as a transformative technology in the field of healthcare, enabling real-time monitoring and communication between wearable and implantable medical devices within the human body. These networks provide invaluable insights into patients' health conditions, facilitate early diagnosis, and offer continuous data collection for healthcare professionals. However, ensuring reliable and efficient communication in a dynamic and diverse environment presents a significant challenge. To address this, adaptive scanning techniques have been developed to optimize the operation of mobile WBANs, enhancing the quality of healthcare services and improving the overall patient experience. Adaptive scanning in mobile WBANs is a sophisticated approach that tailors the scanning parameters and frequency selection of devices based on the specific needs of each device and the current network conditions. This dynamic optimization process helps mitigate interference, conserve energy, and enhance the reliability of data transmission, ultimately ensuring that healthcare applications, such as remote monitoring and real-time diagnostics, operate smoothly. In this comprehensive discussion, we will explore the concept of adaptive scanning in mobile WBANs, its underlying technologies, benefits, challenges, and its potential impact on the healthcare industry.



Secure And Energy Efficient Wireless Body Area Networks


Secure And Energy Efficient Wireless Body Area Networks
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Author : Zhaoyang Zhang
language : en
Publisher:
Release Date : 2016

Secure And Energy Efficient Wireless Body Area Networks written by Zhaoyang Zhang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Body area networks (Electronics) categories.


Recent advances in wireless networks, energy, and biomedical sensors have boosted the development of Wireless Body Area Networks (WBANs). WBANs provide an opportunity to address issues in rapidly increasing wireless health applications, such as eHealth, remote patient monitoring, and diagnostic. However, improving the performance of WBANs is challenging in a mobile social environment due to mobility, inter-channel interference, and security concerns. In this dissertation, two novel authentication and encryption algorithms for WBANs are proposed to ensure secure and private data transmissions in WBANs. The first one is called ECG-IJS, which is an ECG-based authentication and encryption platform using improved Jules and Sudan scheme. ECG-IJS uses a light-weighted, energy efficient key agreement algorithm, by which features extracted from ECG signals are used as keys to encrypt the message. The other one is a channel information based authentication and encryption algorithms (CIAE) for WBANs, which uses keys extracted from the status of wireless channels between senders and receivers. Compared with ECG-IJS, the CIAE algorithm has the same performance on data security and privacy, but does not need additional ECG sensors. Further, to address the inter-WBANs interference issues in mobile social environment, a game-based power control approach is designed to mitigate the interference and improve system energy efficiency. The proposed approach utilizes social contact information and adjusts transmitting power of each WBAN by following the power game to maximize the overall throughput.The major contributions of my dissertation includes: 1) a novel ECG-based authentication and encryption algorithm for WBANs communications, including the security and energy analysis of the ECG-IJS algorithm: 2) a new channel information based authentication and encryption algorithm; 3) an effective power control game for intra-WBANs interference mitigation.



Body Sensor Networks


Body Sensor Networks
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Author : Guang-Zhong Yang
language : en
Publisher: Springer
Release Date : 2014-04-16

Body Sensor Networks written by Guang-Zhong Yang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-16 with Computers categories.


The last decade has witnessed a rapid surge of interest in new sensing and monitoring devices for wellbeing and healthcare. One key development in this area is wireless, wearable and implantable in vivo monitoring and intervention. A myriad of platforms are now available from both academic institutions and commercial organisations. They permit the management of patients with both acute and chronic symptoms, including diabetes, cardiovascular diseases, treatment of epilepsy and other debilitating neurological disorders. Despite extensive developments in sensing technologies, there are significant research issues related to system integration, sensor miniaturisation, low-power sensor interface, wireless telemetry and signal processing. In the 2nd edition of this popular and authoritative reference on Body Sensor Networks (BSN), major topics related to the latest technological developments and potential clinical applications are discussed, with contents covering. Biosensor Design, Interfacing and Nanotechnology Wireless Communication and Network Topologies Communication Protocols and Standards Energy Harvesting and Power Delivery Ultra-low Power Bio-inspired Processing Multi-sensor Fusion and Context Aware Sensing Autonomic Sensing Wearable, Ingestible Sensor Integration and Exemplar Applications System Integration and Wireless Sensor Microsystems The book also provides a comprehensive review of the current wireless sensor development platforms and a step-by-step guide to developing your own BSN applications through the use of the BSN development kit.



High Performance Modelling And Simulation For Big Data Applications


High Performance Modelling And Simulation For Big Data Applications
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Author : Joanna Kołodziej
language : en
Publisher: Springer
Release Date : 2019-03-25

High Performance Modelling And Simulation For Big Data Applications written by Joanna Kołodziej and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-25 with Computers categories.


This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications.



Wireless Sensor Networks


Wireless Sensor Networks
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Author : Kazem Sohraby
language : en
Publisher: John Wiley & Sons
Release Date : 2007-04-06

Wireless Sensor Networks written by Kazem Sohraby and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-04-06 with Technology & Engineering categories.


Infrastructure for Homeland Security Environments Wireless Sensor Networks helps readers discover the emerging field of low-cost standards-based sensors that promise a high order of spatial and temporal resolution and accuracy in an ever-increasing universe of applications. It shares the latest advances in science and engineering paving the way towards a large plethora of new applications in such areas as infrastructure protection and security, healthcare, energy, food safety, RFID, ZigBee, and processing. Unlike other books on wireless sensor networks that focus on limited topics in the field, this book is a broad introduction that covers all the major technology, standards, and application topics. It contains everything readers need to know to enter this burgeoning field, including current applications and promising research and development; communication and networking protocols; middleware architecture for wireless sensor networks; and security and management. The straightforward and engaging writing style of this book makes even complex concepts and processes easy to follow and understand. In addition, it offers several features that help readers grasp the material and then apply their knowledge in designing their own wireless sensor network systems: * Examples illustrate how concepts are applied to the development and application of * wireless sensor networks * Detailed case studies set forth all the steps of design and implementation needed to solve real-world problems * Chapter conclusions that serve as an excellent review by stressing the chapter's key concepts * References in each chapter guide readers to in-depth discussions of individual topics This book is ideal for networking designers and engineers who want to fully exploit this new technology and for government employees who are concerned about homeland security. With its examples, it is appropriate for use as a coursebook for upper-level undergraduates and graduate students.