Xbee Wireless Communication

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Wireless Energy Monitoring in Biped Robot Based on Xbee RF Module

Wireless Energy Monitoring in Biped Robot Based on Xbee RF Module

In Wireless Sensor Networks application and for temperature monitoring, Mukala et al. (2010) uses WSN nodes, each WSN node consists of a microcontroller on the Arduino board and an Xbee wireless communication module based on the IEEE 802.15.4/Zigbee standards to enhance the energy cost and reducing energy consumption. The system provides a web user interface for any user to access the current and past temperature readings in different rooms.

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Multi Robot Communication for Industrial Automation

Multi Robot Communication for Industrial Automation

Block diagram of the hardware is shown in fig 1. Two different modules are connected together. FireBird V Robot and XBee wireless communication module. On-board connected XBee module enables the robot to send and receive messages to and from other robots. XBee module connected to computer enables communication between robots and user.

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Real Time Wireless Data Collection using Xbee Radios and Arduino

Real Time Wireless Data Collection using Xbee Radios and Arduino

place and to remote place using ZigBee network and GSM technology respectively. Vongsagon Boonsawat et al [3] presented a paper on embedded wireless sensor network prototype system for monitoring of temperature in a building. In this system present and past temperature readings of different rooms are taken. In each room there is one WSN node. Each WSN node consists of a microcontroller on Arduino board and an Xbee wireless communication module based on the IEEE 802.15.4/Zigbee standards. Vijay S. Kale et al [4] presented a paper which describes how to collect and monitor the temperature data using Arduino microcontroller, Xbee S2 and temperature sensor. They have used the Arduino board, Xbee radio and temperature sensor at remote place and one Xbee radio at coordinator end which is connected to PC where data is collected. Madhukar S. Chavan et al [5] implemented ARM based temperature controlling and monitoring system using LPC2148 kit and temperature sensor LM35. To control the temperature wirelessly they used a pair of Xbee radios. Anil.H.Sonune et al [6] developed an air pollution monitoring system using WSN based on ZigBee network. Suresh Y. Sankpal et al [7] presented a paper in which they used two Xbee wireless modules and microcontroller to monitor different data points of the capacitor as microfarad rating and different temperature. PM Korake and M.K. Bhanarkar [8] proposed a monitoring system for grapes environmental condition WSN technology. It has been observed that in most of the papers the data collection technique used was not promising. Microcontroller along with Xbee was used at remote place (Router end) [which increases the complexity at remote end] while Xbee is used as Coordinator connected with PC where we can not store the data in real time. In such type of approach there is no flexibility in modifying the code of software.
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Wireless temperature monitoring system using RF communication for WSN Applications

Wireless temperature monitoring system using RF communication for WSN Applications

Transmission through RF is better than IR (infrared) because of many reasons. Firstly, signals through RF can travel through larger distances making it suitable for long range applications. Also, while IR mostly operates in line-of-sight mode, RF signals can travel even when there is an obstruction between transmitter & receiver. Next, RF transmission is more strong and reliable than IR transmission. RF communication uses a specific frequency unlike IR signals which are affected by other IR emitting sources.

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Dynamic Monitoring and Optimization of Fault Diagnosis of Photo Voltaic Solar Power System Using ANN and Memetic Algorithm

Dynamic Monitoring and Optimization of Fault Diagnosis of Photo Voltaic Solar Power System Using ANN and Memetic Algorithm

In order to obtain the location of PV module, the real-time fault monitoring based on component level is a necessity. At the same time, in order to improve the accuracy of fault diagnosis, the correct use of intelligent algorithm is also an unavoidable. With the continuous progress of low-cost wireless sensor technology, you can install a wire- less sensor on each PV module. In this subject, we use algorithm based on distributed on-line monitoring of photo voltaic array of XBee wireless sensor network and Artifi- cial neural network algorithm based on memetic algorithm optimization to study fault diagnosis. Because the PV system have the unpredictable nature of the various faults, fault types and the fault performance characteristics are not easy to be diagnosed by en- vironmental factors. In this paper, an online fault diagnosis method based on Artificial neural network is proposed. The model can store the corresponding relationship be- tween the failure state of PV modules and the causes of faults in the structure of the neural network. So the data that input to the trained neural network can judge whether the components are faulty or the type of fault, so as to realize the on-line fault diagnosis of PV modules [5] [10] [11]. The way ensures the output efficiency and normal opera- tion of PV power plant, saving a lot of material resources and manpower.
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Wireless Weather Station By Using ZigBee

Wireless Weather Station By Using ZigBee

The wireless weather station developed in this PSM consists of a base station and remote station that include a temperature and humidity sensor to take measurement of the weather conditions. The remote station collects and transfers data through the Arduino Uno and Hitachi HD 44780. The base station XBee receives will receive the incoming data XBee transmit from C-TU software and transfer it to laptop or computer and Hitachi HD 44780.

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A Study on Different Channel Estimators for Wireless Communication Optimization

A Study on Different Channel Estimators for Wireless Communication Optimization

Abstract— Wireless communication is a channel driven transmission in open environment. This channel model driven knowledge driven communication with environment propagation can increase the channel error, noise and disruption. In this paper, a study to this channel modeling and different disruption types are defined. The AWGN based channel modeling is defined in open environment. Later on the paper has defined different types of channel estimators to identify these channel associated problems. Four different measures are here defined with relative equation formulation.
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Design and Simulation of RTLS using active RFID and Xbee wireless Technology using ARM-7

Design and Simulation of RTLS using active RFID and Xbee wireless Technology using ARM-7

A RFID system is composed of RFID tags and RFID readers. A RFID tag stores data, and a RFID reader accesses the tag to collect the data through wireless communications. There exist two types of RFID tags: active tags, which contain power modules to support wireless communications, and passive tags, which power their transmissions through the energy absorbed from the radio waves of the RFID readers. Compared to active RFID tags, passive RFID tags are easier to maintain as they do not need power, and their cost can be as low as several cents. Therefore, passive RFID tags are more appropriate for applications that require a large number of tags. Traditionally, RFID tags were designed for commercial applications to replace the bar codes for asset counting [1], [2] and identification [3]. One important challenge insuch applications is how to handle the read collision problem that occurs when one or more RFID readers querymultiple RFID tags roughly simultaneously in a small area. As a result, most existing research focuses on anti- collision protocol design to schedule the reader’s read requests and the tag’s responses [4], [5], and [6]. In RFID-ANS, read collision is not possible as our design guarantees the one-to-one coupling of a RFID reader and a tag in a restricted area.
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Design and Development of Bi-Directional IoT Gateway using ZigBee and Wi-Fi Technologies with MQTT Protocol

Design and Development of Bi-Directional IoT Gateway using ZigBee and Wi-Fi Technologies with MQTT Protocol

different wireless technologies such as Bluetooth (over IEEE 802.15.1), ZigBee (over IEEE 802.15.4), Wi-Fi (over IEEE 802.11) etc., every protocol has got it advantages and disadvantages based on speed, power and transmission capacity. [6] The gateway should can receive the data from all the sensor nodes which may use different wireless protocols and send that to cloud and it must receive the data from remote location and act according to the commands given by user which is dealing with interoperability in IoT. [7][8] By obtaining a common data format for the data received from the sensor nodes to transmit to cloud and a the converting the commands accordingly to sensor node which are given by the user from the remote location which solves the interoperability problems [9]. ITU has proposed the group of standards [10] and [11]. In this paper, we propose a design of Bi-Directional IoT gateway, with two wireless protocols ZigBee and Wi-Fi which enables the interoperability to two heterogenous wireless protocols by in cooperating the transformation of data received from different nodes. To transmit the data we use a lighted weighted protocol MQTT[18].
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Real-Time Measurement And Monitoring System Using ZigBee
And LabVIEW

Real-Time Measurement And Monitoring System Using ZigBee And LabVIEW

The Wireless Sensor Networks or WSN could be a wide space of analysis in recent years. Wireless sensor network consists of distributed autonomous sensors to observe physical or conditions environmental like distance, pressure, sound, temperature and to hand and glove pass their knowledge through the network to a main location. The wireless sensor network will be used with ease within the surroundings wherever wired system cannot be used or if used, can measure to be treated with caution, as an example, in industrial surroundings.

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Design Of Motion Detection Using Tri-Axial Accelerometer For The Elderly

Design Of Motion Detection Using Tri-Axial Accelerometer For The Elderly

Majority of fall detection application were still in the form of prototype for principle study, so a wearable fall detection devices will be slightly bigger in size. Thus, this project aims to develop a portable wearable wireless fall detection system with a satisfy accuracy to distinguish between activity of daily life (ADL) and fall so that the user can get the help in shortest times.

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Wireless Mines: The Next Generation Communication System for Intelligent Mines

Wireless Mines: The Next Generation Communication System for Intelligent Mines

The Project presents design and development of underground coal mine monitoring using AVR and ZigBee. A sensor node is developed for sensing different environmental parameters of underground mine. The sensor node has feature of wireless communication using ZigBee transreceiver. Thus, sensor node can be deployed in the helmet of mine workers. All sensed data is digitized by the microcontroller which gives low power platform with fast execution. The system prototype developed has many advantages that makes it convenient to work in harsh environment of underground mine, monitoring concentration of deadly gases in its atmosphere along with temperature, any land slide and humidity.
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An Empirical Study of Different Modes of Wireless Network Communication and Ways to Optimize its Performance and Speed

An Empirical Study of Different Modes of Wireless Network Communication and Ways to Optimize its Performance and Speed

A wireless communication is a form of communication that does not require the transmitter and receiver to be in physical contact through guided media. It is a network which is set up by using radio signal frequency to communicate among computers and other network devices. Wireless communication has become quiet prevalent all around the world. Mobility and the elimination of a wired infrastructure, the key benefits of wireless operations, give users the flexibility to communicate from wherever they may be at any given time. In our paper we have explained different wireless network standards, different modes of wireless networking, ways to optimize performance and speed of wireless network and the future of wireless network.
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Problem-based Learning Style IoT System Education Method by Student's Self-construction of Prototype System

Problem-based Learning Style IoT System Education Method by Student's Self-construction of Prototype System

In the [2 nd step training], students were encouraged to set up configuration of wireless communication (ZigBee) with a wireless communication support agent. Furthermore, they were encouraged to transmit sensor data to the IoT gateway using the Arduino program and to display sensor data received by the processing program in the form of a graphical representation. Students were impressed to find that results were able to be confirmed visually. In class, students presented and discussed the wireless communication setting results. Some students were unable to solve the difficulty by which sensor data were not sent to the gateway. Through discussion, they noticed that the communication module on the PC side and the device side were reversely connected. They confirmed that it operates normally.
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An Efficient Security Scheme Authentication and Encryption

An Efficient Security Scheme Authentication and Encryption

On the link layer’s communication, error retransmission happens unavoidable and randomly at both side of the sender and the receiver. According to Stop-and-Wait (SW) protocol, the sender transmits a frame and waits for the corresponding acknowledgement before sending a new frame. If a frame is only transmitted once and its acknowledgement frame is received in time, this frame is named as one time frame (OTF). As shown in Fig.2, the packet 1 is confirmed as an OTF on the sender until the acknowledgement of packet 1 is received; it is confirmed on the receiver until the second packet is received. It will be added into OTF set . Both the transmitted frame (packet 2) and acknowledgement (packet 3) are retransmitted, thus they are not added into OTF set.
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Performance of OFDM-IDMA System for single user

Performance of OFDM-IDMA System for single user

ABSTRACT: Current wireless communication in real-life applications as well as reliable transmission of high data rate wireless communication model called OFDM requires communication systems for all kinds of orthogonal frequency division multiplexing is the base model (OFDM) multicarrier modulation technology that every single low rate data stream containing divides the spectrum available in subcarriers with subcarrier is nothing but further OFDM. Recently the Interleave-division multiple-access (IDMA) is presented scheme for multiple access. This approach employs the random interleaves as this is only way for user separation. But as compared to the CDMA, IDMA scheme based on number of distinguished features of CDMA by overcoming the limitations of CDMA. Later this allows multi user detection (MUD) algorithm to use with multiple inputs and multiple outputs (MIMO) where numbers of users are more high-rate multiple access communication. The main aim of this paper is to present the review of OFDM model as well as an single user OFDM-IDMA model. OFDM-IDMA system is result of combination of advantages of both IDMA and OFDM.
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WCE 2012 ISBN: 978-988-19252-1-3

WCE 2012 ISBN: 978-988-19252-1-3

In the routing protocol AODV [21] used for ZigBee, some delay may arise at starting communication. The more the number of hops is increasing, the more the delay is becoming larger. In this paper, since communication between nodes on which the star, the cluster-tree, and the mesh topologies were used for one, two, and at most three hops, respectively, the star topology with the least hops has resulted in the least delay. However, due to the one hop delay, the communication of sending packets in the star topology has taken much time rather than that in the other ones. Thus, the power consumption of the star topology has shown larger than that of the other topologies in this paper.
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A Synchronous and Deterministic MAC Protocol for Wireless Communications on Linear Topologies

A Synchronous and Deterministic MAC Protocol for Wireless Communications on Linear Topologies

Linear topology is useful in several pervasive application scenarios. Even though a linear topology can be handled by unspecific routing algorithms over general purpose MAC protocols, better performance can be obtained by specialized techniques. This paper describes a new communication scheme called Wireless Wire (WiWi), which builds up a bidirectional wireless communication channel with deterministic properties in terms of throughput and latency over a strip of pervasive devices with short-range transmission capabilities. The system is synchronous and fault tolerant. With low cost and extremely simple devices, WiWi builds up a “wire-like” dielectric link, but its applications are not limited to end-to-end communications. For example, WiWi can be used to collect data from sensors along the path, thus acting as a virtual conveyor belt.
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Wireless Sensor Network-Based Health Monitoring System for the Elderly and Disabled

Wireless Sensor Network-Based Health Monitoring System for the Elderly and Disabled

The processor platform: Arduino Uno is built around an ATmega328P microcontroller (MCU), an 8-bit RISC architecture processor available from Atmel. The main features that are of interest on this particular MCU are: (i) 32KB of flash memory, (ii) 2KB of SRAM memory, (iii) 16MHz clock speed, (iv) 6 channel 10bit analog to digital converter (ADC) at 76.9 kSPS, (v) 2-wire serial interface (TWI), (vi) programmable serial interface (USART). According to the first three characteristics, there are enough processing power and memory in order for one to design a real-time health monitoring system. The ADC peripheral is of key importance for this project, as most of the monitored health indicators we will be in the form of analog signals. As a result, these have to be digitized before being transmitted to the coordinator MCU for further processing. With its 10-bit resolution and high sampling rate we are able to acquire data reliably from the monitored athlete. The TWI peripheral is a serial interface compatible with the widely used I2C bus. This bus is used mainly for communication with sensors that have digital output. Finally, the programmable serial interface is used for communication between the nodes and the main server. The RF modules that are used have a serial communication interface. Additionally, the USART interface is used for data transmissions from the coordinator to the main PC. This is implemented by means of a secondary MCU dedicated to the USB to serial conversion. The sensor platform: The sensors that are employed for the purposes of this project are the following: (i) tri-axial accelerometer via the TWI interface, (ii) electrocardiography sensor (ECG) via the ADC, (iii) airflow sensor via the ADC, (iv) temperature sensor via the ADC, (v) galvanic skin response sensor (GSR) via the ADC.
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The Reflected-Shifted-Truncated-Gamma Distribution for Negatively Skewed Survival Data with Application to Pediatric Nephrotic Syndrome

The Reflected-Shifted-Truncated-Gamma Distribution for Negatively Skewed Survival Data with Application to Pediatric Nephrotic Syndrome

However, not much research has focused on a system level design, which includes the lowest two layers of the communication protocol in a WIIC system, namely, the physical, and data link layers. Also, the previously published literature has rarely reached the data rate at 100 Gbps or higher, and none of the prior research has obtained a spectrum utilization ratio of 4 bit/Hz or greater. In addition, currently existing research has not fully taken advantage of advanced and matured wireless communication technologies such as Orthogonal Frequency Division Multiplexing (OFDM), high order modulation, and Multiple-Input/Multiple-Output (MIMO) systems for increasing data rates and improving reliability, although the use of UWB [29], conventional FDMA or TDMA [39], and binary modulations including Binary Phase Shift Keying (BPSK) [22], On-Off Keying (OOK) [31], and Amplitude Shift Keying (ASK) [35] have been studied in previous research.
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