BSN body Sensor Network

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MULTI LEVEL GROUP KEY MANAGEMENT TECHNIQUE FOR MULTICAST SECURITY IN MANET

MULTI LEVEL GROUP KEY MANAGEMENT TECHNIQUE FOR MULTICAST SECURITY IN MANET

As an emerging technology, WSN (Wireless Sensor Networks) composed from a large number of small, low data rate and inexpensive node that communicate in order to sense or control a physical phenomenon. WSN have a lot of applications like disaster management, health, military and security, and enormously attracted the community of researchers and has fueled the interest in sensor networks during the past few years. Sensors are typically capable of wireless communication and able to solve several problems in numerous domains. During the Hajj season, the organizers faced a lot of problems related to the health of pilgrims and their position in the area of El Hajj. At this time, the proposed works are focused on the identification of pilgrims lost, using the implementation of RFID (Radio Frequency IDentification). The latter solution, is as expensive equipment, requires adding tags to pilgrims. Those tags are limited to read data from those passives tags. Further work is limited only to the location of pilgrims. However, the aim of this paper is to discuss and propose a system which allows monitoring of pilgrims. Indeed, this allows, using a BSN (Body Sensor Network) as a particular application of wireless sensor network, for the localization of pilgrims lost and control, in real-time, the health status of those who fall into critical situation with diseases that could threaten their health and life. In this system, the agents in El Hajj, dispatched to several areas of Hajj and have devices that install applications to monitor and locate pilgrims, periodically, by reading sensors measurements in addition to their localization with adequate and theoretical technique. This solution, present a model for an area, and which can be duplicated for the full area of El hajj. It also facilitates the intervention and localization, in real time, of pilgrims who are away from their camps and to save their life.
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Patient Monitoring System Using Body Sensor Network

Patient Monitoring System Using Body Sensor Network

of opportunistically affiliated modules and ceremony appendage contributes to the beheading of the primary accoutrement by animate a accumulating of the accoutrement tasks and accouterment annual to the abutting nodes. Adjustable disposed (m-Healthcare) acclimation has been pictured as an important accoutrement of accustomed accession to accession blossom adversity above and save lives, across miniaturized wearable and implantable assay detector nodes and astute phones aggregation acclimatized board apprenticed disposed assay to those that access constant medical distance like abiogenetic birthmark and amore condition. Astute fizz and wireless Physique Sensor Networks (BSN) brash by assay detector nodes, the medical users can airing alfresco and access the high-quality disposed assay from medical professionals anytime and anywhere.
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A IOT-based Modern Healthcare System Using Body Sensor Network (BSN)

A IOT-based Modern Healthcare System Using Body Sensor Network (BSN)

Now a day’s people are becoming health conscious and increasing and suffering from chronic diseases. And difficult occurs in taking care of that patients. In hospital, also many patients are admitted and doctor and their colleagues should have to maintain the treatment of them. For that all patient are should remain continuously under observation. Hence, IOT (internet of Concept) concept used and sensor are connected to human body with well managed wireless network. For measurement heart bit rate, blood pressure, Insulin etc. Can be measured by sensors and particular sensor are required to gather specific information. BSN care server also maintained to store data collects data from sensor and it processes in LPU that is local processing unit and send it to database server.And Internet and power supply continuous required to work proper functioning and periodically to work proper functioning of health. Because sensor is collecting information after every 10 secs and sends it to database server. As it also includes data gathering from wearable sensors and stores on database server. It also requires security is measure concern for privacy and prevention of attacks. For data security encryption algorithm also used for convert data into other format so that human cannot read easily that data. And only machine identifies because maintains symbol tables and predefined data format, while sensor is collecting information and after that encryption process done that data and then it goes to storing on database. Internet connection is required for message alert because condition checking and whether it is true or false on that basis result will be generated through internet. So, Ethernet connection is necessary for that. Heart bit sensor, temperature sensor, BP sensor are also used in project. Temperature sensor are RTD Resistance Temperature Detector. Sensor are RTD i.e. Resistance temperature Detector sensor is made up of semiconductor material and exhibit highly nonlinear vs temperature curve. In database management section, SVM (Support Vector Machine) is also used for mining data from database. Data mining management is also necessary for storing data retrieving actually related data from. MySQL database. Naive Bayes algorithm is also used to identify spam e-mail and it is having embedded facility.
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Correlation Detection and Judgment of Abnormal Individual Behavior Based on Unsupervised Learning

Correlation Detection and Judgment of Abnormal Individual Behavior Based on Unsupervised Learning

Based on the body physiological signal collected by the BSN, the individual daily exercise law, as well as the association relationship of these exercise with individual physiological signals, may be found. It can be very helpful to those who focus on daily exercise. The function, such as monitoring daily activities state, diagnosing of the abnormal state implemented on wearable devices, can highlight the value of the body sensor network (BSN). The key technique to complete the function is to find a kind of efficient and unsupervised learning algorithm. The BSN detected the changes of the individual body state, understand the relationship between the characteristics of the human body, and then complete the state monitoring and abnormal status diagnosis without the professional medical supervision. The exercise state and physiological data of a person are normal in most of the time, sudden changes often mean abnormal. Flowing the idea, the association rule mining algorithm is proposed to find the rules of individual daily exercise and physiological data based on the characteristics of individual exercise behavior in the paper. And then the method is discussed to discover the individual behavior or data anomaly based on the rules.
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Quality Assessment of 12-Lead ECG in Body Sensor Network

Quality Assessment of 12-Lead ECG in Body Sensor Network

Abstract: Body sensor network (BSN) is simple and effective biophysical data capture in real time to monitor human activities, such as health status and physiological signals for a wide range of application area. Electrocardiogram (ECG) uses medical body sensors to record the electrical activity of the heart to help diagnose of heart disease, and also monitor how well different heart medications are working. ECG is usually by affected by various types of noises. The most common noises originated from the power line interference, electrodes loss contact, baselines wander and motion artifact. This paper introduces a new technique for improving the quality of ECG using multi scale quantitive recurrence analysis (QRA) for feature extraction and decision tree classifier. Our approach achieved classification accuracy of 98.23% on set A training set and 92.4% on set B testing set without label from the Computing in cardiology/PhysioNet Challenge 2011 dataset.
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The Internet of Things for Healthcare: Applications, Protocols, and Security

The Internet of Things for Healthcare: Applications, Protocols, and Security

ABSTRACT: The Internet of Things (IoT) makes brilliant items a definitive building block in the improvement of digital physical savvy inescapable systems. The IoT has an assortment of utilization zones, including medicinal services. The IoT revolution is upgrading present day medicinal services with promising innovative, monetary, and social prospects. In the cutting edge, the usage of IoT technologies brings convenience to physicians and patients, since they are applied to various medical areas. Presently a-days medical issues like cardiovascular disappointment, lung failure, and heart-related infections are emerging step by step at a high rate. Due to these problems, time to time wellbeing checking is extremely basic. A modern concept in the IOT is the wireless health monitoring of a patient. It is a noteworthy improvement in the therapeutic field. The body sensor network (BSN) innovation is one of the center advances of IoT improvements in medicinal services framework, where a patient can be observed utilizing an accumulation of small tiny powered and lightweight remote sensor hubs. Nonetheless, the improvement of this new innovation in healthcare applications without considering security makes patient privacy vulnerable. In this paper, the major security requirements in the BSN-based modern healthcare system are highlighted. In this paper, the real security prerequisites in the BSN-based modern healthcare framework are featured.
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Body Sensor Network using Raspberry Pi3: IoT

Body Sensor Network using Raspberry Pi3: IoT

The security and also the privacy problems in health care applications exploitation body detector or sensor network. Subsequently, even though most of the popular BSN based research projects acknowledge the issue of the security, but they fail to embed strong security services that could be preserve patient privacy. Finally, hence proposed technique of a secure IoT based healthcare system using BSN, called BSN-Care, which can efficiently accomplish various security requirements of the BSN based healthcare system.

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Secret-Key and Public-Key Based Privacy Protection Protocols in Wireless Medical Sensor Networks: A Survey

Secret-Key and Public-Key Based Privacy Protection Protocols in Wireless Medical Sensor Networks: A Survey

S. Dagtas et al. [5] presented a framework for a wireless health monitoring system using wireless networks such as Zig Bee. Vital signals are collected and processed using a 3-tiered architecture. The first stage is the mobile device carried on the body that runs a number of wired and wireless probes. This device is also designed to perform some basic processing such as the heart rate and fatal failure detection. At the second stage, further processing is performed by a local server using the raw data transmitted by the mobile device continuously. The raw data is also stored at this server. The processed data as well as the analysis results are then transmitted to the service provider center for diagnostic reviews as well as storage. The main advantages of the proposed framework are (1) the ability to detect signals wirelessly within a body sensor network (BSN), (2) low-power and reliable data transmission through ZigBee network nodes, (3) secure transmission of medical data over BSN, (4) efficient channel allocation for medical data transmission over wireless networks, and (5) optimized analysis of data using an adaptive architecture that maximizes the utility of processing and computational capacity at each platform.
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Highly Secured IoT Based Health Care System for Elderly People using Body Sensor Network

Highly Secured IoT Based Health Care System for Elderly People using Body Sensor Network

ABSTRACT: It is very important to monitor various medical parameters and post operational data. To access the patient’s medical parameters in local and remote area, healthcare communication using Internet of Things (IoT) method is adapted. The main objective of this project is to transmitting the patient’s health monitoring parameters through wireless communication. These input data are uploaded in cloud server and transmitted to the computer and mobile for family and doctor’s reference. Advances in information and communication technologies have led to the emergence of Internet of Things (IoT). In the modern health care environment, the usage of IoT technologies brings convenience of physicians and patients, since they are applied to various medical areas (such as real-time monitoring, patient information management, and healthcare management). The body sensor network (BSN) technology is one of the core technologies of IoT developments in healthcare system, where a patient can be monitored using a collection of tiny- powered and lightweight wireless sensor nodes. However, the development of this new technology in healthcare applications without considering security makes patient privacy vulnerable. In this paper, at first, we highlight the major security requirements in BSN-based modern healthcare system. Subsequently, we propose a secure IoT-based healthcare system using BSN, called BSN-Care, which can efficiently accomplish those requirements.
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A Survey on Light Weight Authenticated Tweakey Framework for Body Area Network Security

A Survey on Light Weight Authenticated Tweakey Framework for Body Area Network Security

Body Sensor Network (BSN) is a suitable combination of wearable tiny devices attached to patient’s body or implanted in patient’s body. Their purpose is to monitor patient’s physiological data (or BSN data) values. Sensors continuously monitor and collect patient’s data and send it to a remote server through a network. This server can be called Database Server (DBS). DBS collect and stores the received patient’s medical data which can be later used for any medical emergency by the Healthcare provider. This patient’s data may be used to educate medical students, to provide data for medical research and analysis. Since the patient’s physiological data are highly sensitive and fragile, BAN is very susceptible to attacks(12). Hence, it must be given a lot of care that patient identity will not be exposed or altered by unauthorized users. Hence, privacy of patient’s data over the network becomes the most important aspect. So communication between BAN and DBS has to be secure(13). A strong security mechanism should be applied to maintain patient’s privacy and confidentiality. Some paper proposes information security of physiological data which flow through network which is highly susceptible to attack and unauthorized access(14,15). The existing papers focus on patient’s data transmission along with key causing it heavy weighted. The existing system transmits the encrypted patient’s sensed data with key using HMAC authentication, Elliptic curve cryptography, etc. to all the nodes to reach the hospital administrator. This makes the packets transmitted heavy weighted. Also this gives the unauthorized user an opportunity to alter the data and make it unavailable to the hospital administrator for monitoring.
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BSN Care:IoT Based Human Health Care Using Body Sensors

BSN Care:IoT Based Human Health Care Using Body Sensors

Body Sensor Network (BSN) is the integration of intelligent, miniaturized low-power sensor nodes in, on or around human body to monitor body functions and the surrounding environment. Temperature sensor,Heart Beat sensor, ECG sensor,IR sensor are connected to Raspberry Pi through IC MCP3008. Heartbeat sensors arebased on the principle of photo phlethysmography. It measures the change in volume of blood through any organ of the body, which causes a change in light intensity through that organ. PIR sensor is a motion detection sensor, it detects whether the person is in movement or rest condition. IR sensor is used as obstacle sensor, which transmits an infrared signal, this infrared signal bounces from the surface of an object and the signal is received at the infrared receiver.
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IOT based health monitoring system using 
		Android APP

IOT based health monitoring system using Android APP

IoT is essentially to settle issue of interconnection, for example, Things to Things, Human to Things and Human to Human. All articles in the physical world can step up with regards to trade data by means of the Internet, to accomplish interconnection each other. Body sensor network (BSN) and advanced mobile phones are critical piece of IoT in medicinal services checking for correspondence. A Secured Mobile Health mind System utilizing Body Sensor Network is proposed with the assistance of android application for ceaseless observing. To read the sensors we have used Raspberry Pi 3 model B which is helping in interfacing cloud.
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Energy-Saving MAC Scheme with Dynamic Transmission Thresholds for Body Sensor Networks

Energy-Saving MAC Scheme with Dynamic Transmission Thresholds for Body Sensor Networks

Body Sensor Network (BSN) presents a real time, reliable and continuous measurement and transmission solution to monitor and report health parameters. A BSN is formed by a number of sensor nodes and a Central Control Unit (CCU). Sensor nodes measure vital parameters from body’s organs. Vital parameters in the human’s body are electrocardiography (ECG), electroencephalography (EEG), glucose level, blood pressure, oxygen level in blood (SpO2), temperature and body movement. The sensors and the CCU are unified using Zigbee standard and connected to a medical application by other wireless connection standards like Wireless Fidelity (WiFi) or Global System for Mobile communication (GSM). Energy saving is one of the most appropriate approaches to prolong the network lifetime.
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Cognitive Learning, Monitoring and Assistance of Industrial Workflows Using Egocentric Sensor Networks

Cognitive Learning, Monitoring and Assistance of Industrial Workflows Using Egocentric Sensor Networks

Today, the workflows that are involved in industrial assembly and production activities are becoming increasingly complex. To efficiently and safely perform these workflows is demanding on the workers, in particular when it comes to infrequent or repetitive tasks. This burden on the workers can be eased by introducing smart assistance systems. This article presents a scalable concept and an integrated system demonstrator designed for this pur- pose. The basic idea is to learn workflows from observing multiple expert operators and then transfer the learnt workflow models to novice users. Being entirely learning-based, the proposed system can be applied to various tasks and domains. The above idea has been realized in a prototype, which combines components pushing the state of the art of hard- ware and software designed with interoperability in mind. The emphasis of this article is on the algorithms developed for the prototype: 1) fusion of inertial and visual sensor information from an on-body sensor network (BSN) to robustly track the user ’ s pose in magnetically pol- luted environments; 2) learning-based computer vision algorithms to map the workspace, localize the sensor with respect to the workspace and capture objects, even as they are car- ried; 3) domain-independent and robust workflow recovery and monitoring algorithms based on spatiotemporal pairwise relations deduced from object and user movement with respect to the scene; and 4) context-sensitive augmented reality (AR) user feedback using a head-mounted display (HMD). A distinguishing key feature of the developed algorithms is that they all operate solely on data from the on-body sensor network and that no external instrumentation is needed. The feasibility of the chosen approach for the complete action- perception-feedback loop is demonstrated on three increasingly complex datasets a11111
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Wireless Body Area Sensor System for Monitoring Physical Activities Using GUI

Wireless Body Area Sensor System for Monitoring Physical Activities Using GUI

Wireless Sensor Networks (WSNs) technologies are considered as one of the key of the research areas in computer science and healthcare application industries. Sensor supply chain and communication technologies used within the system and power consumption therein, depend largely on the use case and the characteristics of the application. Recent technological advances in sensors, low power integrated circuits, and wireless communications have enabled the design of low-cost, miniature, lightweight, intelligent physiological sensor platforms that can be seamlessly integrated into a body area network for health monitoring. Wireless body area networks (WBANs) promise unobtrusive ambulatory health monitoring for extended periods of time and near real-time updates of patients’ medical records through the Internet. We designed the user interface to both address the needs of the research prototype WBAN and support a deployed WBAN system. The user interface must provide seamless control of the WBAN, implementing all the necessary control over the WBAN. Authors conclude that Life-saving applications and thorough studies and tests should be conducted before WBANs can be widely applied to humans, particularly to address the challenges related to robust techniques for detection and classification to increase the accuracy and hence the confidence of applying such techniques without physician intervention.
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Characterization of Communication Mechanisms for Implantable Body Sensor Networks

Characterization of Communication Mechanisms for Implantable Body Sensor Networks

Marinkovic et. al. [36] present an energy-efficient, low duty cycle MAC protocol based on TDMA. The MAC protocol enables access to the physical layer for a hierarchical topology consisting of nodes communicating with master nodes, which in turn communicate with the mon- itoring station. The hierarchy removes the need for sensors to expend power by transmitting to the monitoring station. Also, the use of TDMA ensures collision-free transfer and minimization of idle-listening. The protocol is implemented using the Analog Devices 70XMBZ2 platform with ADF7020 RF transceivers. Measurements reveal that the protocol is energy-efficient for streaming and short burst data communications. A novel TDMA-based protocol for BSNs, called H-MAC,is proposed in [44]. This protocol improves energy-efficiency by using the heart- beat rhythm to perform TDMA synchronization, avoiding energy consumption associated with transmitting time synchronization beacons. Power efficiency is also accomplished in H-MAC as aTDMA-based protocol assigns time slots to each biosensor to guarantee collision-free trans- mission. Simulations show that H-MAC prolongs the network life of sensors dramatically. In [37] a TDMA-based MAC protocol called BodyMAC is proposed. Three types of bandwidth allocation schemes are devised to cope with different types of data communications, such as periodic data sensing and important event allocation. In conjunction with bandwidth allocation, a sleep mode mechanism is introduced, which turns off a node’s radio during beacon, uplink and downlink periods, as much as possible. Simulations results show superior performance of BodyMAC compared to that of IEEE 802.15.4 MAC. Timmons et. al. [46] introduce an ad- aptive TDMA-based MAC protocol called MedMAC. MedMAC incorporates a novel adaptive TDMA synchronization mechanism in which only a multi-superframe beacon has to be listened to by the nodes. An optional contention period is also available for low-grade data, emergency
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Comparision of various Wind Turbine Generators

Comparision of various Wind Turbine Generators

In general, the devices used are of two types such as actuators and sensors. Sensors are used to measure the parameters of the patient’s body such as body temperature, heart rate etc. To make the connection between the sensors and hardware device the wireless devices are used. The first prototype of Wireless Body Area Network (WBAN) is already started developing by several research groups and commercial vendors. Here we will discuss about the non- exhaustive overview of projects for WBANs as WBAN have unique architecture.

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Wireless Patient Monitoring System Using Point To Multi Point Zigbee Technology

Wireless Patient Monitoring System Using Point To Multi Point Zigbee Technology

Patient monitoring system become an important topic and research field today. Research on health monitoring were developed for many applications such as military, homecare unit, hospital, sports training and emergency monitoring system. Patient monitoring systems are gaining their importance as the fast-growing global elderly population increases demands for caretaking. These systems use wireless technologies to transmit vital signs for medical evaluation. This paper describes the wireless sensor network based on ZigBee technology. It is mainly used for collecting and transferring the various monitoring information about thepatients in hospitals. Wireless sensor networks application for physiologicalsignals communication transmission has manytechnologies. Such as the Infrared, Bluetooth and ZigBee,etc. Because the angle limit problem of the infraredtransmission, and the infrared have not be used forPhysiological signal transmission. Although Bluetooth isbetter than ZigBee for transmission rate, but ZigBee haslower power consumption. Hence, ZigBee is generallyused for 24 hours monitor of
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Medicinal Services Monitoring System Using Body Sensor Network

Medicinal Services Monitoring System Using Body Sensor Network

SufianKaki et.al [2] The Tele-Health observing stage utilizing STM32 microcontroller talked about in this paper makes medicinal services available and moderate to a greater part of individuals. . It also facilitates the patients, caretakers and the doctors to maintain and integrate the health records. Accessibility of different peripherals makes this stage dependable and simple to associate. The biometric information gathered in this framework will of extraordinary incentive for Information mining and Data combination. This stage has an awesome potential when composed as a wearable gadget that can contain various biomedical sensors to decide the body state of the client. As a wearable vest, this can be utilized by mountain dwellers, mineworkers, terminate warriors, old individuals and so forth and this will permit the managers and overseers to get cautions at whatever point there is any crisis circumstance. Also, this platform is expectedto integrate with the fitness apps so that the users and doctors can have more information about their subject’s every day physical routine [2]
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REVIEW ON BODY PARAMETERS MONITORING USING WEARABLE WIRELESS SENSOR NETWORK

REVIEW ON BODY PARAMETERS MONITORING USING WEARABLE WIRELESS SENSOR NETWORK

Fig. 1 shows the configuration of the system. It is observed that the system consists of a number of sensor nodes that wirelessly communicate to a central coordinator in a star network topology. Wireless sensor network is a promising field that integrates sensor technologies, embedded system and wireless communication together to produce small, low cost, low power and reliable system capable of monitoring specific events. For this system, wireless protocol suite used because it provides end-to-end connectivity. The coordinator is in turn connected to a PC via data bus. Each sensor node is may equipped with a capacitive micro machined accelerometer, temperature sensor and hart rate sensor. The sensor nodes are attached to the human body and operate completely untethered. They are powered by battery.
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