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Wireless Sensor Network for Patient Health Monitoring System

Wireless Sensor Network for Patient Health Monitoring System

A wireless sensor network is networked and scalable, consumes very little power is smart and software programmable, capable of fast data acquisition, reliable and accurate over the long term, costs little to purchase and install, and requires no real maintenance. Each node in a sensor network is typically equipped with a radio transceiver or other wireless communications device, a small microcontroller, and an energy source, usually a battery. A sensor network, normally constitutes a wireless Adhoc network, and supports a multi-hop routing algorithm. The base stations are one or more distinguished components of the Wireless Sensor Network (WSN) with much more computational, energy and communication resources. They act as a gateway between sensor nodes and the end user.
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Wireless Patient Health Monitoring System

Wireless Patient Health Monitoring System

In today’s world rapid advances in wireless communication systems had and will continue to have a significant impact on the healthcare industry. One of the most important application is to monitor patient's health status anywhere and anytime without restricting the movement of patient. This project is basically construction of a simple system that will be capable of transferring the data of a patient's body parameters to a remote device wirelessly. The necessity of this project is to overcome the difficulty that is encountered by medical experts or medical professionals in simultaneously monitoring multiple patients. This project will help medical experts or medical professionals to observe patients without having to be physically present at their bedside, either at the hospital or at their home. A patient's body temperature and pulse rate are transferred wirelessly through the nRF transceiver module. Keywords: nRF24L01 transceiver, body temperature, beats per minute (bpm), wireless sensor network (WSN),
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Design and Implementation of Health Monitoring System for Patient using Wireless Sensor Network

Design and Implementation of Health Monitoring System for Patient using Wireless Sensor Network

Adequate health care services and doctors are often unavailable in rural and remote areas and this problem is expected to grow worse in near future. “Patient health monitoring system using wireless sensors” objective is to provide essential medical services online to users irrespective of their location. The system offers mobile support to facilitate faster using sophisticated medical equipments in emergency cases. The daily records are also maintained so that drugs are dispatched in a proper way. The proposed health monitoring system consists of four modules: 1) Doctor module, 2) Patient module, 3) Nurse module and 4) Admin module. For the successful execution of modules sensors are being used. The sensors used are namely temperature sensor, heartbeat sensor and blood pressure sensor. This system will work on basically three algorithms namely KNN algorithm, semantic matching algorithm and data distribution algorithm. This system helps to overcome time and memory required to a great extent. The sensors used in the system are developed using low-power dedicated sensor arrays for temperature and movement. It also resolves the issue of inaccurate results.
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WIRELESS SENSOR NETWORK BASED LOCATION MONITORING SYSTEM

WIRELESS SENSOR NETWORK BASED LOCATION MONITORING SYSTEM

The advance in wireless sensor technologies has resulted in many new applications for military and/or civilian purposes. Many cases of these applications rely on the information of personal locations, for example, surveillance and location systems. These location-dependent systems are realized by using either identity sensors or counting sensors[1].Wireless sensor network (WSN) typically consists of a large number of small, multifunctional, and resource constrained sensors that are self-organized as an ad hoc network to monitor the physical world. Sensor networks are often used in applications where it is difficult or infeasible to set up wired networks. Examples include wildlife habitat monitoring, security and military surveillance, and target tracking. For applications like military surveillance, adversaries have strong incentives to eavesdrop on network traffic to obtain valuable intelligence. Abuse of such information can cause monetary losses or endanger human lives. For example, in the Panda-Hunter scenario, a sensor network is deployed to track endangered giant pandas in a bamboo forest[2] Each panda has an electronic tag that emits a signal that can be detected by the sensors in the network. A sensor that detects this signal, the source sensor, then sends the location of pandas to a data sink (destination) with help of intermediate sensors. An adversary (the hunter) may use the communication between sensors and the data sinks to locate and then capture the monitored pandas. In general, any target-tracking sensor network is vulnerable to such attacks. As another example, in military applications, the enemy can observe the communications and locate all data sinks (e.g., base stations) in the field[3].Disclosing the locations of the sinks during their communication with sensors may allow the enemy to precisely launch attacks against them and thereby disable the network. Location privacy is, thus, very important, especially in hostile environments. Failure to protect such information can completely subvert the intended purposes of sensor network applications. Location privacy measures, thus, need to be developed to prevent the adversary from determining the physical locations of source sensors and sinks.
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Patient Monitoring System Using Body Sensor Network

Patient Monitoring System Using Body Sensor Network

Due to the top annual of architectonics and beforehand specialized abstracts centers too abounding PHR casework aggregation outsourced or provided by third activity annual suppliers.as an classic The Microsoft Blossom Vault again architectures of autumn PHRs in breaker accession across aggregation planned in [6], [7]. Acceptance it's agitative to access adequate PHR casework for anybody there aggregation abounding advocacy and assimilation risks which may adding its beat adoption. Basal activity is applicable whether or not or not the patients would possibly in actuality administering the administering of their astute Accommodating Blossom Admonition (PHI), clearly already they aggregation ascendancy on a third activity server that bodies may not able trust. The one battle acquire adversity rules like HIPAA that's again acclimatized to blot business accumulation , breaker suppliers aggregation usually not coated entities. On the accession battle of attributable to the top bulk of the astute letter. The third activity accumulator servers aggregation usually the targets of acclimatized abominable behaviors which adeptness could could cause acceptance of the letter. A better-known chance to administering of veterans abode abstracts complete astute letter of twenty six.5 amateur advancing veterans forth as their Agreeable Advocacy numbers associated blossom problems was adulterated by an abettor accurate assay took the admonition home acceptance not authorization. Guarantee patient-centric assimilation administering over their own PHRs. it's basal to access aeriform abstracts acceptance administering mechanisms that job with semi dependable servers.
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Cow Health Monitoring Through Wireless Sensor Network

Cow Health Monitoring Through Wireless Sensor Network

E. Direct observation and Pressure transducer recordings: The cows were fitted with the recording halter at eight hours up on entry of examination. Recording helter for the examination of eating and rumination conduct in cows. Oil- filled tube contains the pressure sensor and is joined in the noseband, USB lumberjack, Halter with noseband and calfskin pocket for information lumberjack. Times of eating and rumination were then recorded through the pressure sensor and additionally by synchronous eight hours for direct perception. Alternative every two hours done by three individual direct observation. The spectator sat three meters before the dairy animals and dependably watched one cow for every perception session. Exercises, for example, rumination, eating, drinking, preparing, vocalization, scratching, hierarchal conduct and developments to keep takes off were recorded at regular intervals. The quantity of biting cycles per cud were resolved with a mechanical hand counter. The recording strap was expelled following 8 hours and the outcomes were exchanged to a PC from the information lumberjack for examination. The times of eating and rumination recorded by the pressure transducer were contrasted and those recorded by direct perception. For each dairy animals, the accompanying factors were settled from the transferred information and from direct perception by manual checking or by inference from the time rotate:  Counting the rumination period.
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Healthcare Monitoring System Using Wireless Sensor Network

Healthcare Monitoring System Using Wireless Sensor Network

-------------------------------------------------------------------ABSTRACT-------------------------------------------------------------- Bots, in recent times, have posed a major threat to enterprise networks. With the distributed nature of the way in which botnets operate, the problems faced by enterprises have become acute. A bot is a programme that operates as an agent for a user and runs automated tasks over the internet, at a much higher rate than would be possible for a human alone. A collection of bots in a network, used for malicious purposes, is referred to as a botnet. In this paper we suggested a distributed, co-operative approach towards detecting botnets is a given network which is inspired by the gossip protocol. Each node in a given network runs a standalone agent that computes a suspicion value for that node after regular intervals. Each node in the network exchanges its suspicion values with every other node in the network at regular intervals. The use of gossip protocol ensures that if a node in the network is compromised, all other nodes in the network are informed about it as soon as possible. Each node also ensures that at any instance, by means of the gossip protocol, it maintains the latest suspicion values of all the other nodes in the network.
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Portable Wireless Sensor System For Patient Monitoring And Supervision

Portable Wireless Sensor System For Patient Monitoring And Supervision

ZigBee/IEEE 802.15.4 protocols are developed for this purpose. ZigBee/IEEE 802.15.4 is a global hardware and software standard designed for WSN requiring high reliability, low cost, low power, scalability, and low data rate. Table x.1 compares ZigBee/IEEE 802.15.4 against several other wireless technologies. The ZigBee alliance (ZigBee, 2004) is to work on the interoperability issues of ZigBee/IEEE 802.15.4 protocol stacks. The IEEE 802.15 WPAN Task Group 4 (IEEE Std 802.15.4, 2003) specifies physical and data link layer protocols for ZigBee/IEEE 802.15.4. The relationship of ZigBee and IEEE 802.15.4 is shown in Fig. x.1. In the current development, IEEE 802.15 WPAN working group creates two task groups 15.4a and 15.4b. The former is to specify an alternate physical layer, the ultra wide band (UWB) technologies. The latter is to enhance the IEEE 802.15.4 MAC protocol so that it can tightly couple with the network layer functionalities specified by ZigBee. ZigBee alliance published the version 1.0 standard in Dec. 2004.
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WATER QUALITY MONITORING AND PREDICTION SYSTEM USING   MULTI SENSOR NETWORK

WATER QUALITY MONITORING AND PREDICTION SYSTEM USING MULTI SENSOR NETWORK

Nowadays drinking water is the most precious and valuable for all the human beings, drinking water utilities faces new challenges in real-time operation. This challenge occurred because of limited water resources growing population, ageing infrastructure etc. Hence therefore there is a need of better methodologies for monitoring the water quality. Most of the water laboratories and public health engineering departments are highly dependent on manual data collection and storage process, which is time-consuming and highly prone toward human error. Wireless sensor networks (WSNs) have gained popularity within research community because they provide a promising infrastructure for numerous control and monitoring applications. These simple
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Patient Health Monitoring in Wireless Sensor Network

Patient Health Monitoring in Wireless Sensor Network

In this literature, many applications of mobile computing and communication technologies are being presented. In paper [1], LV et.al has shown the employment of wireless sensor and smartphones for the monitoring of patients. Here, we have discussed certain methods and functions of the health care system which involve intimidating the patient’s relatives and automatic calling of the ambulance in case of an emergency. Chowdharyet.al [4] explained a middleware for support, which use energy efficiently in the case of remote health monitoring system. It was further stated that the medical data generated by the physical biomedical sensor and transferred to the next server. The biomedical sensor was used to send the patient’s data to the doctor and the patient’s relatives so that they could access the information. Parallel offloading based health monitoring system is equivalent to the middleware based health monitoring system. The only difference is the amount of energy consumed in both the cases.
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Wireless Sensor Network for Monitoring A Patient Having Hole in the Heart Continuously Using Zigbee

Wireless Sensor Network for Monitoring A Patient Having Hole in the Heart Continuously Using Zigbee

dialed to the doctor, near by hospital and to the residence and accordingly, treatment was given to cure the hole in the heart of human. Hence, the researcher developed a successful research project to monitor the patient continuously through a wireless link. An intermediate person is not required to update and inform the condition of the patient to the doctor and the residents. Thus, this wireless sensor network using ZigBee will be very useful to the human civilization and will be a Revolutionar y research and development in a medical field.

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Development of Real Time Human Body Temperature (Hypothermia & Hyperthermia) Monitoring & Alert System with GSM & GPS

Development of Real Time Human Body Temperature (Hypothermia & Hyperthermia) Monitoring & Alert System with GSM & GPS

V. Ramya et.al provides a device which will continuously monitors the vital parameters of multiple patients with data logging facility using PIC microcontroller & GSM techniques [11]. D.J.R. Kiran kumar et.al proposes a real time portable health monitoring system built on programmable system on chip (PSoC) which has a zigbee communication module sends all the physiological data to a PC from which doctor can access the data on his PC [12]. Archita Agnihotri et.al., suggests the use of GSM communication technique for sending the acquired physiological data to cell phone of medical professional, the system collects all data with reliable sensors and sends on GSM network [13]. Neeta V Desai et.al designed a health monitoring system which continuously monitors bio vitals of a in-home patient using wireless non-contact radio frequency electromagnetic fields to transmit & receive the signals [14]. Johevajile K.N et.al reports design of a non invasive, accurate low cost biomedical sensor interface for processing bio vitals such as blood pressure & body temperature and checks its accuracy with simulated circuits using mat lab [15]. P. Karthick et.al proposes a wireless health monitoring system that uses variety of biosensors for sensing the human bio vital signals, the acquired data is transmitted through ZigBee transmitter & it is collected at ZigBee receiver. The system also uses GSM & ARM processor [16]. Gunalan M.C et.al., also makes use of ZigBee protocol for communicating acquired bio vitals to a PC which acts as a central monitoring system which uses Lab View software [17]. Kalpana P.M et.al., suggest to use PIC microcontroller based wireless embedded system for human health monitoring in which data collected form the nodes are transmitted to ZigBee transmitter in turn to a PC which is connected to network wherein data is stored, displayed and retrieved [18]. Ch. Srikanth et.al., reports smart embedded medical diagnosis unit using ARM core based beagle-bone black with Adriano platform which provides a integrated development environment for monitoring personal health [19]. This paper proposes a low cost 51 architecture microcontroller based embedded system that monitors the human body temperature. The developed system makes use of GSM & GPS network to transmit this vital information & location awareness. It also compares the values recorded from the developed system under clinical trials with the values recorded by doctor with traditional methods.
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Secure Data Exchange in Environmental Health Monitoring System through Wireless Sensor Network

Secure Data Exchange in Environmental Health Monitoring System through Wireless Sensor Network

In considering that the advantages of WSN in various applications and providing sensory information which generally carries very critical information, it has to be able to distribute data sensors to everyone. These data sensors usually are freely transmitted over wireless media transmission both in attended and un-attended environment. Moreover, to provide more sensory information distribution, sensor networks are essentially connected to the user networks through common use networks, such as Internet or any other public network connection. Hence, everyone is able to access the information easily. However, there is a big possibility for provoking many potential threats and attacks because naturally sensor networks are easily to be intercepted, eavesdropped, injected with unexpected information, and even altered into faked information by adversaries. Therefore, particular security mechanism is required to prevent such threats and attacks by concerning to the natural property of sensor nodes in WSN e.g., low power, low performance, low processor speed, limited memory and storage size. On the other hand, there is another possibility for illegally access, modification, and retransmission altered sensory information as well when data sensors are exchanged over the Internet and any other public connection by many sensory information based Service Providers in order to disseminate very important information to everyone as broadest as possible. Thus, a security system to overcome such illegally misuses is also desirable.
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Patient Health Monitoring Using Wireless Body Area Network

Patient Health Monitoring Using Wireless Body Area Network

The receiver that is base station should be able to display the information received from the sensor nodes. Three similar nRF24L01+ nodes were designed and tested to monitor patient’s data. An ATmega328 microcontroller is used to design both the sensor nodes and at the base station. These microcontrollers are programmed in C with Arduino 1.0.5-r2. The signal received from the sensors is converted from analog to digital by the microcontroller and delivered it to nRF24L01 where it is sent by the radio. The communication between base station and PC is established by a USB connection. PC is used as a display device. The rest of the paper is organized as follows: Section II discusses the theoretical background.Section III explainsthe operation of the system. Section IV shows hardware configurations. Section V is the program flowcharts of the system. Section VI describes experimental setup. The discussions and conclusion are presented in Section VII.
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Wireless Physiological Monitoring System

Wireless Physiological Monitoring System

Recent technology advances in wireless networking, micro-fabrication, and integration of physical sensors, embedded microcontrollers and radio interfaces on a single chip, promise a new generation of wireless sensors suitable for many applications, such as stroke rehabilitation, physical rehabilitation after hip or knee surgeries, myocardial infarction rehabilitation, and traumatic brain injury rehabilitation. Increased system processing power allows sophisticated real- time data processing on sensors, which reduces wireless channel utilization and power consumption. We propose a wireless BAN composed of off-the-shelf sensor platforms with application-specific signal conditioning modules.
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Environmental Monitoring and Greenhouse Control by Distributed Sensor Network

Environmental Monitoring and Greenhouse Control by Distributed Sensor Network

Figure 3: Experimental setup for environmental monitoring Thus, the use of sensor in a greenhouse environment should permit a real time monitoring and an improved measurement through convenient distribution. The collected data in the system proposed must be sent to a base station located outside the greenhouse. The base station is connected by a gateway. With the implementation of this architecture, each node will be answerable for data collecting through its sensors and for sending it to its neighbors until all collected data emerge at the base station. The gateway generally uses wireless and Ethernet communication. The base station will be accountable for managing collected data, so some greenhouse control softwares and some wireless actuators are necessary. In this application node defense will also be necessary to avoid damage by water and inputs. It is imperative to emphasize that the use of wireless sensors and actuators is advantageous to make the system installation trouble-free and to obtain flexibility and mobility in the nodes prototype. The difficulties in applying WSN in agricultural applications might include costs and lack of standardization on WSN communication protocols. Due to cost constraints, the proposed model is designed with sensors. In future, the same sensor network will be simulated in NS-2 for a distributed clustering mechanism. Wireless sensor network with temperature, moisture and light sensing and advanced capabilities will be implemented in real-time environment for green house monitoring in future.
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On the Embedded Intelligent Remote Monitoring and Control System of Workshop Based on Wireless Sensor Networks

On the Embedded Intelligent Remote Monitoring and Control System of Workshop Based on Wireless Sensor Networks

The embedded intelligent workshop remote measurement and control system adopts B/S model. In order to directly access to the intelligent measurement and control equipment unit from the measurement and control server or measurement and control manager, it is possible to install a server with web browsing function on the intelligent measurement and control equipment unit. Here, we adopt Boa as web server on the Linux platform, which will be convenient for system stability and efficient operation in the target system, and or use and maintenance with high reliability. Boa and a normal web server share similarity in the capability of receiving the request from clients, analyzing request, responding to request, and returning the result of request to client and other tasks. The difference between Boa and normal web server is that the HTTP request for processing of Boa enjoys high speed and efficiency, and therefore it will have a high value in the
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Object oriented Design for Wireless Sensor Network assisted Global Patient Care Monitoring System

Object oriented Design for Wireless Sensor Network assisted Global Patient Care Monitoring System

Health care monitoring system can be defined as the combination of communication technology and biometric sensor nodes. Patients’ care monitoring is a part of tele- medicine monitoring, in which HTTP (Hypertext Transfer protocol) is used to access information from devices which have the internet connection. In this paper, we present a design of an object oriented database system for server and client side to monitor patients’ applications data. It provides a novel approach of having ipv6 low power wireless personal area network (6lowpan) and internet based connectivity between patients and doctors. In this paper patients’’ data is extracted from the sensor network and is given to a web based system, however the focus of the doctor is still on the senor networks only.
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ASSESSMENT OF GREENHOUSE GASES AND PARAMETERS USING WIRELESS SENSOR NETWORK

ASSESSMENT OF GREENHOUSE GASES AND PARAMETERS USING WIRELESS SENSOR NETWORK

The application [2] of wireless sensors in petroleum bunks refer to the storage supervision of barrels. The concept is that, the sensor nodes attached to these barrels will be able to position the nearby objects, detecting their content and alerting in case of impropriety with their own, etc. Healthcare systems can also profit from the use of wireless sensors. Applications in this group comprise of tele-monitoring human physiological data, monitoring of patients within the hospital, monitoring drug administrator in hospitals, etc. Cognitive disorders possibly leading to Alzheimer’s could be monitored and controlled at their premature stages with these wireless sensors. The nodes can be used to outline the recent actions, and thus remind the senior citizens, point out the person’s real actions or detect a growing problem.
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Fuzzy Logic based Health Care System using Wireless Body Area Network

Fuzzy Logic based Health Care System using Wireless Body Area Network

Over few years WSN have proved their potentiality in various applications. A WSN is a collection of typically small, battery-powered, autonomous, wireless devices (also known as nodes). These devices have on-board processing, communication and sensing capabilities that can monitor physical or environmental conditions, such as temperature, sound, pressure, etc and pass data through a unidirectional or bi-directional network. The nodes are composed of low-power processor that has limited processing, memory device with limited storage capacity, a radio transceiver with a low-power internal/external antenna, low-data rate & limited range, sensors (scalar, cameras, microphones), and power source (batteries and solar cells).
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