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ZigBee-Based Wireless Sensor Network for Temperature Monitoring

ZigBee-Based Wireless Sensor Network for Temperature Monitoring

The proposed system in this paper describes the design and implementation of a Wireless Sensor Network (WSN) based on ZigBee technology to monitor the history and current temperature information of remote locations. The system is an electronic embedded system that contains: Base Station with coordinator ZigBee, End nodes with router ZigBee, and host computer as a data base (DB) server. The base station is responsible for data collecting, a display for end node sensor readings, and TCP/IP communication with the host computer. End nodes are directly connected with sensors and transmitting the readings of these sensors to the base station. The host computer is responsible for building a data base from end nodes sensor readings. The Microcontroller Units (MCUs) from Peripheral Interface Controller (PIC) family have been used and the firmware has been developed using C language with MikroC Pro which is a full-featured ANSI C Compiler for Microchip PIC MCU as a development environment.
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WIRELESS SENSOR NETWORK BASED LOCATION MONITORING SYSTEM

WIRELESS SENSOR NETWORK BASED LOCATION MONITORING SYSTEM

Privacy model. In our system, the sensor nodes constitute a trusted zone, where they behave as defined in our algorithm and communicate with each other through a secure network channel to avoid internal network attacks, for example, eavesdropping, traffic analysis, and malicious Nodes. Since establishing such a secure network channel has been studied in the literature the discussion of how to get this network channel is beyond the scope of this paper. However, the solutions that have been used in previous works can be applied to our system. Our system also provides anonymous communication between the sensor nodes and the server by employing existing anonymous communication techniques .Thus given an aggregate location R, the server only knows that the sender of R is one of the sensor nodes within R. Furthermore, only authenticated administrators can change the k-anonymity level and the spatial histogram size. In emergency cases, the administrators can set the k-anonymity level to a small value to get more accurate aggregate locations from the sensor nodes, or even set it to zero to disable our algorithm to get the original readings from the sensor nodes, in order to get the best services from the system. Since the server and the system user are outside the trusted zone, they are untrusted.
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Zigbee Based Wireless Sensor and Actuator Network for Service Robot Intelligent Space

Zigbee Based Wireless Sensor and Actuator Network for Service Robot Intelligent Space

Up to now, several companies have introduced their own ZigBee protocol compatible hardware platform and cor- responding software stack package, such as CC2430 from Texas Instruments (Chipcon), MC13192 from Freescale and EM250 from Ember. Among the above products, the System-on-Chip CC2430 and Z-Stack from Texas Instruments (Chipcon) are widely used in the im- plementation of ZigBee wireless network. CC2430 is a true System-on-Chip (SoC) solution specifically tailored for IEEE 802.15.4 and ZigBee applications. It combines the excellent performance of the leading CC2420 RF transceiver with an industry-standard enhanced 8051 MCU, and enables ZigBee nodes to be built with very low total bill-of-material costs. Additionally, the low power consumption, i.e., 27 mA in RX mode, 25 mA in TX mode and 0.9 µA in power-down mode, ensures CC2430 to run as long as 3 to 6 months powered by 2 AA batteries [14].
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A Crop Monitoring System Based on Wireless Sensor Network

A Crop Monitoring System Based on Wireless Sensor Network

This kind of nodes is made up of an independent intellectual property SoC THLK2405 and CMOS image sensor OV7640. An image processing module is integrated in the SoC THLK2405. The image subsystem is mainly comprised of three parts: the control circuit of image sensor, data acquisition circuit and compressor circuit. The OV7640 provides full-frame sub-sampled or windowed 8-bit images in a word range of formats; it is controlled by Serial Camera Control Bus interface. OV7640 has an image array capable of operating at up to 30 frames per second (fps) with complete user control over image quality, formatting and output data transfer. All required image processing functions, including exposure control, gamma, white balance, color saturation, hue control and more, are also programmable through the SCCB interface. Figure 4 shows the front and reverse sides of the image node.
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Factory Environment Monitoring Based On
Wireless Sensor Network

Factory Environment Monitoring Based On Wireless Sensor Network

I hereby declare that this report entitle “ Factory Environment Monitoring Based on Wireless Sensor Network” is the result of own my own research except as cited in the references. The report has not been accepted for any degree and is not concurrently submitted in candidature of any other degree.

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Machine Operation Monitoring Based On Wireless
Sensor Network

Machine Operation Monitoring Based On Wireless Sensor Network

The application of Wireless Sensor Network technology in the design of field area network for industrial communication and control systems has the potential to provide major benefits in terms of flexible installation and maintenance of field devices, support for monitoring the operations of mobile robots and reduction in costs and problems due to wire cabling.

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Enhanced Simulation Model of ZigBee Wireless Sensor Network

Enhanced Simulation Model of ZigBee Wireless Sensor Network

Modeling procedure of network layer process model based on OPNET includes three stages: process decomposition, event enumeration, and state response diagram. Firstly, the ZigBee network layer process model is described in a single process. Secondly, all the logical events that may call the process are enumerated, and the responses of process model to various events are determined. A state transition of ZigBee network layer is represented by the event response table, including probable state actions of each state, transition conditions, and end conditions. Finally, a state transition diagram and its status codes are developed to achieve the process model.
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WizNet: A ZigBee-based Sensor System for Distributed Wireless LAN Performance Monitoring

WizNet: A ZigBee-based Sensor System for Distributed Wireless LAN Performance Monitoring

This paper describes the design and implementation of WizNet – a WLAN performance monitoring system built on 2.4 GHz off-the-shelf ZigBee sensors. By adopting digital signal processing techniques, WizNet automatically identifies 802.11 signals from ZigBee RSS measurements and associates them with wireless access points. To ensure the monitoring fidelity, WizNet accounts for the significant bandwidth difference between ZigBee and WLAN radios. Moreover, the impact of multipath and frequency-selective fading is mitigated by exploiting the wireless spatial diversi- ty through multi-sensor fusion. WizNet adopts a simple yet accurate linear estimator derived from a signal propagation model to infer the access points’ signal to noise ratio (SNR). WizNet also measures the channel utilization rate from RSS series, which faithfully indicates the congestion level of wireless channels. The measured SNR and channel utilization rate can be used to predict the WLAN throughput. Moreover, WizNet is capable of detecting unauthorized APs (rogue APs). WizNet is also able to identify 802.11 AP scans and classify device models based on their RSS signatures, hence can be deployed in the areas with little or no WLAN coverage to collect statistics of potential users. We have implemented WizNet in TinyOS 2.x and extensively evaluated its performance on a wireless testbed. Our results over a period of 140 hours show that WizNet can accurately capture the spatial and temporal performance variability of a large-scale production WLAN.
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A novel model of ZigBee in wireless sensor network based on CMOS image sensor and BP neural network

A novel model of ZigBee in wireless sensor network based on CMOS image sensor and BP neural network

Information processing method of BP neural network has the following characteristics: information distributed storage. Characteristics of human information storage is to adjust the stored content using changes in synaptic efficacy, distribution of connection strength between neurons that information is stored in the BP neural network to simulate the human this characteristic, the information in the form of connection weights are distributed in the entire network. Information parallel processing. The neurons pass between the pulse rates is far lower than the von Neumann computer operating speed, but on many issues can make quick judgment, decision making and processing, this is because the brain is a massively parallel processing system and the serial combination. The basic structure of BP neural network to imitate human brain, has the characteristics of parallel processing, greatly improves the network function.
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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

In this research paper, we presented the wireless Sensor network (WSN)for monitoring a patient having hole in the heart continuously using ZIGBEE The output of biosensor has to be transmitted via Zigbee and the same has to be sent to the remote wireless monitor for observing the condition of the patient having hole in the heart and for the same proper medical treatment should be given to him/ her without surgery using alternative medicine to cure hole in the heart. The remote wireless monitor is constructed of Zigbee and personal computer (PC). The measured signal has to be sent to the PC, which can be data collection. When the measured signals over the standard value, the personal computer sends Global system for Mobile communication (GSM) short message to the care taker.
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Performance IEEE 802.14.5 and zigbee protocol on realtime monitoring augmented reality based wireless sensor network system

Performance IEEE 802.14.5 and zigbee protocol on realtime monitoring augmented reality based wireless sensor network system

A smart sensor device must support wireless communication, sensor, and computation. A smart wireless sensor device commonly has the a microcontroller which has computation function, a small RAM for dynamic data function, a wireless transceiver, many flash memories which hold the code of program and long-lived data, an analog-to-digital converter (ADC), an antenna, many sensors, and a source of power. Most Wireless Sensor Network (WSN) are rely on a communications stack that which including a medium access control (MAC), multihop networks, transport layers, and routing [2]. Each layer has many protocols, but they are not similar with protocols which found in even Wi- Fi networks or wired networks. In communication, WSN have a communication protocol. Most popular protocol used in wireless sensor network is IEEE 802.14.5 and ZigBee Protocol. The specification of IEEE 802.15.4 describes wireless and media access protocols for personal area networking devices [4]. Each performance of protocol had been described by Timmons and Scanlon [5], the performance of IEEE 802.15.4 for Medical Sensor Body Area Networking have same problem. Therefore research is needed to solve the problem through simulation. Lopez et.al. [6] describe ZigBee protocol performance in medical body sensor with simulation that have some weakness namely when it delay will increase data loss. Zhang [7] has used the Time Division Cluster Schedule (TDCS) on WSN as a periodic scheduling for avoiding the collision flow while meeting the end-to-end delay deadlines.
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A survey of railway condition monitoring by ZIGBEE wireless sensor nodes

A survey of railway condition monitoring by ZIGBEE wireless sensor nodes

This paper focused on commercial applications of wireless sensor networks by using of ZigBee .Now a days wireless networks sensors are active with help of ZigBee. The recent release of standards in the field, such as IEEE802.15.4 and ZigBee, brought the technology out of research labs and stimulated the development of numerous commercial products. Moving from early research in military applications, sensor networks now are widely deployed in diverse applications including home automation, building automation, and utility metering. Although many early sensor networks used proprietary routing algorithms and RF technology, most recent products use standards-based networking and RF solutions. A key enabling standard for much of the commercial activity in the wireless sensor network area is the IEEE 802.15.4 standard. This PHY and MAC (media access control) layer standard defined a 250kb/s direct sequence spread spectrum (DSSS) radio operating in the2.4GHz unlicensed band with lower bit-rate alternatives in the 868 MHz and 900 MHz bands. This standard now enjoys extensive silicon support, primarily in the 2.4GHz band. On top of this PHY and MAC layer standard, several proprietary and standards-based sensor network systems emerged. The one with the most vendor and end-product support is the ZigBee standard. This article presents a survey of the most active application areas that use ZigBee and the trends that drive them, focusing on systems that are commercially available. The ZigBee standard has evolved since its original release in 2004. Several years of field trials and product development experience were rolled into a new revision of the standard set, to be ratified in early 2007, known as ZigBee Pro. This article highlights some of the field learning that went into the standard and what has changed in the specification to address field lessons and commercial feedback. Much of what makes possible more commercial applications is the emergence of a more complete ecosystem around the standard. Major enabling trends in this ecosystem also are examined. Finally, new areas of activity in the standards body are highlighted. The majority of applications currently deployed using the ZigBee standard fall into three application areas are home automation and monitoring,
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Zigbee-Based Wireless Distance Measuring Sensor System

Zigbee-Based Wireless Distance Measuring Sensor System

Our developed software based on SMAC allows half-duplex communication with central unit (star network topology) and handles sleep modes with time synchronization. The distance sensor units are periodically awakened and it waits for possible commands from the central unit. If there is no command in a certain time frame it falls asleep. Even though software development was the most time consuming task of the whole project, we are far from implementing all ZigBee higher layers. Nevertheless we do not need a full compatibility with ZigBee standard, our solution at this stage uses “only” physical radio layer according IEEE 802.15.4, MAC layer and proprietary network and application layer implementation based on SMAC (see
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Development of Zigbee-Wifi-Wimax Hybrid Wireless Sensor Network based Telemedicine System

Development of Zigbee-Wifi-Wimax Hybrid Wireless Sensor Network based Telemedicine System

demonstrated to the doctors and they appreciated the efforts. With the use of wireless sensor technology, it has been shown that the health data can be transmitted from the patient room to a server room, without having to run additional cables through the two destinations. The developed circuit detects any intrusion and transmits the data wirelessly over a range of two kilometres by means of ZigBee module. The ZigBee wireless sensor network have been successfully tested giving ATmega micro controller distant data monitoring and control. Experiments have proved that signals can be well transmitted in the whole floor from upstairs to downstairs with good communication quality. And penetrating ability of signals under 2.4 GHz is higher than that in other bands. The distance range of the proposed ZigBee wireless sensor network is tested successfully for a distance upto 700 m. The distance range can be extended using Wi_Max technology up to fifty kilometres. This ZigBee-Wi_Max hybrid wireless communication module has been tested successfully for a distance up to two km. As Wi-Max technology comes under point-to-point communication protocol, it can give a distance range up to fifty km if its antennas are mounted on a high rise tower with clear line of sight. The basic advantage of the developed WSN telemedicine system is that the monitor nodes can easily be added or removed in the system, it is also convenient to expand the network. As an expansion of existing wired security systems it can enhance the flexibility of information collecting, while reducing the cost of building safety system communication network in residential buildings. So it improves the applied value of safety monitoring and practical value of control information system. Further work on the system needs to be done to expand the scope of the system. This system is only a demonstrator of a single room communicating with a base-station, it can be expanded further to have multiple rooms communicating with a single base station.
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RASPBERRY Pi BASED IRRIGATION SYSTEM BY USING WIRELESS SENSOR NETWORK AND ZIGBEE PROTOCOL

RASPBERRY Pi BASED IRRIGATION SYSTEM BY USING WIRELESS SENSOR NETWORK AND ZIGBEE PROTOCOL

In this proposed system WSN is consists of two nodes, coordinator node and Router/End device node. Each node mainly consists of memory, processor and an RF transceiver. The coordinator node is based on Raspberry Pi (Rpi) embedded Linux board and End device is based on Arduino UNO Atmega328 platform. The function of the coordinator node in the system is to initiate the communication with distributed End device nodes via the ZigBee wireless communication protocol and continuously collects the soil moisture and soil temperature data and store collected data in the database. The database is created on the raspberry Pi board which is a MySQL database. Coordinate node analyzes the received data and decides the water required for the soil. If the analyzed data shows that water is required, the coordinator node sends commands to water pump controller make Irrigation on. Rpi has an Ethernet interface and it runs a simple data web server. Hence coordinator node allows data collection over ZigBee, and data monitoring and system control from web browser remotely.
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Wireless sensor network for health monitoring

Wireless sensor network for health monitoring

142 popular as Wireless local area network (WLAN). It is developed to replace wired Ethernet cable used in a home or office. They provide maximum data rate up to 54 Mbps in an around 50 meter range. Clearly Bluetooth and ZigBee are suitable for low data rate applications with limited power source such as battery-operated sensor nodes or mobile devices. Low power consumption helps prolong a node's life time and reduce its size. On the other hand, UWB and Wi-Fi would be better selections for high data rate applications such as audio/video multimedia appliance. As for power consumption, a ZigBee node can operate at low power for a time period ranging from several months to 2 years from two AA batteries. However, a Bluetooth node running on the same batteries would last just one week. ZigBee networks can support a larger number of devices and a longer range between devices than Bluetooth ones. ZigBee supports the configuration of static and dynamic star networks, a peer to peer network, and mesh network that can provide up to 65000 nodes in a network. Bluetooth allows only eights nodes in a master-slave piconet figure.
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Cyclist training monitoring system based on wireless sensor network

Cyclist training monitoring system based on wireless sensor network

In recent years, wireless communication technology have greatly reduced the dependency of connecting wires to collect the data and power the measurement equipment. As a result, the ability to take multiple measurements over the human body or other apparatus have been improved tremendously [4]. Moreover, with the advancement of smaller, less intrusive communication and sensing technologies, bulky and obtrusive apparatus can be substituted with lighter equipment. There are a wide range of WSNs applications that would benefit enormously from the sensing technologies. Among the applications is sport and health monitoring in which the capability of sensor nodes to collect data unobtrusively and without hindering movement or performance would enable its implementation to improve an athlete’s performance in sports. The data collected by sensor nodes could relate information about the body and its relative movement, besides any other performance-related data that is desirable. In addition, new wireless connectivity radio standards could facilitate the data collection process and enable the data from different sensor nodes at multiple points to be collected synchronously [4]. The data fusion process that takes over after the data collection process will compress the information collected, before they are being sent to the base station for further interpretation of data.
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Landslide Pre-Warning System Using Zigbee Based On Measurements of Wireless Sensor Network

Landslide Pre-Warning System Using Zigbee Based On Measurements of Wireless Sensor Network

Different types of sensors are used for measuring the parameter related to land. As shown in table 1 as below there are three types of sensor mentioned, which measures the parameter of Land such as soil moisture, angle change of any slope, vibration detection. One of the most common inertial sensors is the accelerometer, a dynamic sensor capable of a vast range of sensing. Accelerometers are available that can measure acceleration in one, two, or three orthogonal axes. There are considerable advantages to using an analog accelerometer as opposed to an inclinometer such as a liquid tilt sensor – inclinometers tend to output binary information (indicating a state of on or off), thus it is only possible to detect when the tilt has exceeded some thresholding angle. The below table 1 shows the sensor used and their tasks.
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A 
		wireless sensor network for polyhouse cultivation using Zigbee 
		technology

A wireless sensor network for polyhouse cultivation using Zigbee technology

Inadequate and uncertain environmental conditions may affect the proper growth of the plant. Monitoring and controlling of the environmental parameters should be given utmost attention in order to attain high yield. The controlling of these parameters by performing some control action may result in proper plant growth and increased yield. Various papers [1]-[6] have been published claiming the need and advantages about polyhouse cultivation using various technologies. The required data about the existing parameters inside the polyhouse is acquired with the help of respective sensors and is sent to the control unit. The information is transferred to the control unit using wireless technology Zigbee. This data is processed with the help of a microcontroller which decides the control action to be performed in order to maintain optimal environment for the plant growth [3].
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ZigBee Wireless Sensor Network Model for Supporting Mobile Nodes

ZigBee Wireless Sensor Network Model for Supporting Mobile Nodes

However, it cannot avoid the movement of devices in practical application, the ZigBee model of OPNET is mainly used in current research. The network simulator based on ZigBee technology lacks support for mobile router in research, evaluation and development, which restricts the further analysis of mobile sensor networks. ________________________

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