ZigBee Wireless Sensor Network Research Articles

RFID/ZigBee 프로토콜을 활용한 가변구조 혼합형 모델 칵핏모듈 조립생산 시스템

Mixed-model assembly line has been widely used in automotive assembly industry to quickly respond the diverse product demands. But, this model can lead to part confusion, which is a source for assembly errors when parts are physically interchangeable in a mixed-model assembly line. With the recent application of new technologies such as radio frequency identification (RFID) and ZigBee wireless sensor network (WSN) to the assembly process, real-time information has become available in this manufacturing systems through IT infrastructures. At first, this paper presents an RFID application for assembly processes, specifically, for a mixed-model assembly line. Thus, to ensure that parts be picked accurately, each cockpit module on the assembly line is attached with a RFID tag and the tag is scanned using a RFID reader and recognizes the vehicle, and each part of the cockpit module is attached with a barcode and the barcode is scanned by a barcode reader and each part is identified correctly for the vehicle. Second, this paper presents a ZigBee wireless sensor network (WSN) protocol-based application for a reconfigurable mixed-model assembly line of cockpit module to reduce the assembly errors and the cost of the change/reconfiguration on the assembly lines due to the various orders and new models from the motor company, avoiding the wiring efforts and inconvenience by wiring between the several RFID devices and the IT server system. Finally, we presents the operation results for several years using this RFID/ZigBee wireless sensor network (WSN) protocol-based cockpit module assembly line.

An Adaptive Energy-Efficient Data Collection System for ZigBee Wireless Sensor Networks

Wireless sensor networks (WSNs) are deployed in large areas to monitor a number of events in an area of interest. Monitoring environmental events by distributed sensor networks faces the challenge of high power consumption requirement over time, due to the large number of packets required for multihop data collection. To overcome the scalability issue of large scale WSNs, a proof-of-concept implementation demonstrates that integrating a mobile robot (MR) system with a clustering system for ZigBee WSNs will significantly increase the lifetime of the system, by conserving energy that the sensor nodes otherwise would use for communication. In this paper, two energy-efficient systems have been proposed: clustering and MR systems. The former divides the ZigBee WSN into smaller regions, allocates a cluster-head for each region, and aggregates the collected data, whereas the latter collects the sensed data from cluster-heads. The effectiveness of the proposed system has been demonstrated via simulation and experimental studies and verified that, using a single robot for data collection, the lifetime of the network can be extended by 2.3 times in average.

Implementation of multi-channel technology in ZigBee wireless sensor networks

This paper proposes a multi-channel ZigBee wireless sensor network (WSN) for robust data transmission. This study sought to increase the packet delivery ratio (PDR) through the application of multi-channel technology. Based on a cluster-tree construction protocol, we implemented a multi-channel time division multiple-access scheme using hardware devices. Furthermore, ZigBee and wireless LAN (WLAN) both operate on the 2.4 GHz band, referred to as the industrial, scientific, and medical unlicensed band. As a result, ZigBee faces severe interference problems in the presence of WLAN. In this study, we developed an interference avoidance method to improve conditions for the coexistence of ZigBee and WLAN and then conducted experiments using a practical network implementation to evaluate the resulting performance. Our experiment results demonstrate considerable improvements in the PDR of ZigBee transmission in an environment with interference from WLAN.

Realization of Zigbee Wireless Sensor Networks for Temperature and Humidity Monitoring

Realization of Zigbee Wireless Sensor Networks for Temperature and Humidity Monitoring

Realization of Zigbee Wireless Sensor Networks for Temperature and Humidity Monitoring

Many physical phenomena and processes in theenvironment must be monitored. This problem can be solved withan ad-hoc wireless sensor network (WSN), which consists of anumber of small and self-power sensing devices (nodes) that areconnected with each other using effective wireless networks. Thispaper reports development of an embedded wireless sensornetwork (WSN) prototype for environmental parametersmonitoring. The network itself consists of a coordinator or datagateway which wirelessly collect temperature and humidity dataover several sensor nodes. Each sensor node is developed from anarduino based microcontroller, Xbee wireless module based onZigbee/IEEE 802.15.4 standards, and temperature and humiditysensor devices. In the prototype system, both temperature andhumidity sensors are calibrated with accurate instruments to obtainprecise measurements. Its communication functionality is alsotested in various network topologies. The battery lifetime iscalculated to predict the energy consumption. The testing resultsshow that the system works well in terms of its functionality.

Implementation of Smart Home with Multi-Channel Technology

In this paper, we propose a Smart-Home system with ZigBee Wireless Sensor Networks (WSNs) technology. The system provides automation system in the House. The monitor system uses Andriod NDK and SDK to write application interface for an Android embedded platform. In this system, we provide access control system to obtain sensor data and inquiry into node status. We use multi-channel architecture to reduce a hidden terminal problem and upgrade packet delivery ratio.

OPNET-based modeling and simulation of mobile Zigbee sensor networks

Modeling and simulation can help to validate and evaluate the performance of wireless sensor networks (WSNs) within specific applications. In order to resolve the issue of the restriction on node mobility in existing Zigbee WSN simulation models, this paper proposes a Zigbee compliant new simulation model using the OPNET simulator. Based on the Zigbee MAC layer model in OPNET Modeler, we develop a network layer model and propose an improved AODV routing algorithm to support node mobility, both of which are compatible with Zigbee protocols. We further present in details the structure of the network layer process model and the implementation procedures of its kernel functions. Comprehensive performance comparisons are performed between the proposed model and the Zigbee model in OPNET standard libraries. In order to evaluate the effectiveness of the proposed model in the aspect of node mobility support, time intervals between route failure occurrence and route recovery are measured as well. The experimental results show that the proposed simulation model achieves better performance, compared to the original one. In addition, when node mobility causes routing failures, alternative routes can be established quickly by the proposed model.

Design and Application of a VOC-Monitoring System Based on a ZigBee Wireless Sensor Network

Monitoring volatile organic compound (VOC) pollution levels in indoor environments is of great importance for the health and comfort of individuals, especially considering that people currently spend >80% of their time indoors. The primary aim of this paper is to design a low-power ZigBee sensor network and internode data reception control framework to use in the real-time acquisition and communication of data concerning air pollutant levels from VOCs. The network consists of end device sensors with photoionization detectors, routers that propagate the network over long distances, and a coordinator that communicates with a computer. The design is based on the ATmega16 microcontroller and the Atmel RF230 ZigBee module, which are used to effectively process communication data with low power consumption. Priority is given to power consumption and sensing efficiency, which are achieved by incorporating various smart tasking and power management protocols. The measured data are displayed on a computer monitor through a graphical user interface. The preliminary experimental results demonstrate that the wireless sensor network system can monitor VOC concentrations with a high level of accuracy and is thus suitable for automated environmental monitoring. Both good indoor air quality and energy conservation can be achieved by integrating the VOC monitoring system proposed in this paper with the residential integrated ventilation controller.

Water-Saving Monitoring System Design Based on LabView Simulation Platform

A water-saving irrigation monitoring system was designed based on ZigBee wireless sensor network and LabView simulation platform. This system can solve the problems of unnecessary waste caused by the traditional artificial irrigation water and wiring complex of water-saving control system. The information of each node and data acquisition can be detected by the ZigBee wireless network monitoring system. Upper machine was designed by LabView virtual design platform, and all aspects of organic characteristics of the crop water requirement rule were combined through the fuzzy control decision support system. The date of the irrigation water would be directed, and achieved a fine management of water and scientific irrigation.

Goaf Temperature Monitoring System Based on ZigBee Revised Routing Algorithm

In the process of coal-mine production, the self-ignition of left coal in goaf area has always been major disasters, and spawns amount of economic loss. As a consequence, it is necessary and essential to monitor the self-ignition of left coal in goaf. In consideration of the complex and poor environment of the goaf area, this thesis adopts ZigBee wireless sensor network instead of traditional fixed cable sensor network to monitor the self-ignition of coal goaf area. It has the advantages of wild covering, convenient layout and easy adapting to environment. In addition, counting on the revised routing algorithm, the whole wireless sensor network has obvious advantages of its network performance and low consumption, which makes the whole system monitor the self-ignition of left coal steadily and permanently.

Research on MCL for Mobile Underground Miner Location System Based on ZigBee

In this paper, we try to solve the problem of mine safety and real-time scheduling in underground miner, the Monte-Carlo localization methods of the underground location system based on ZigBee wireless sensor network were proposed. This paper designs software application for the nodes in the network, builds the overall structure of the miner location system and constructs the ZigBee wireless network. After testing and simulation, the results indicate that we can locate precisely in the complex terrain and terrible communication environment by the Monte-Carlo Localization algorithm.

Hydrogen Sulfide (H2S) Gas Safety System for Oil Drilling Sites using Wireless Sensor Network

Abstract Toxic and Combustible gases are one of the most notorious killers of Oil and Gas Industry (OGI) workers. Hardly can one find an accident in which they are not involved, as such governments around the world enforce the use of gas sensors in all works that are related to these gases. Until recently, wired gas sensing systems are used. Although, they are rugged and reliable, they are expensive to install and maintain. Wireless gas leakage detection systems are flexible, easy to install and maintain. However, gas sensors tend to consume lots of energy, while those that consume less energy are not accurate. In this paper, an experimental research is carried out to investigate the energy performance of a Zigbee Wireless Sensor Network (WSN) made up of wireless sensor nodes and industrial-grade gas sensors to create a Wireless Gas Safety and Monitoring System (WG-SMS). The system uses careful combination of energy harvesting, sensor node role assignment and adaptive sleep cycle to achieve maximum attainable lifetime by saving 60% more energy.

A Reliable Data Collection Scheme with Efficiency Consideration for ZigBee Wireless Sensor Network Applications

A Reliable Data Collection Scheme with Efficiency Consideration for ZigBee Wireless Sensor Network Applications

RELIABLE TRANSMISSION PROTOCAL FOR GSM AND HTTP BASED ON WIRELESS PATIENT MONITORING

The main focus of the paper is to implement a prototype model for the real time patient monitoring system. The proposed is used to measure the physical parameters like body temperature, heartbeat, ECG, blood sugar, and oxygen level monitoring with the help of biosensors. Conventionally there are number of techniques available for the ICU patient's health monitoring system with wired communication technology. In the novel system the patient health is continuously monitored and the acquired data is transmitted to an ARM server using zigbee wireless sensor networks. Embedded processor supports for analyzing the input from the patient and the results of all the parameters are stored in the database. If any abnormality felt by the patient automatic alarm sound will arrive and the message will send to the doctor mobile automatically by using GSM module. The implementation of the system is achieved by the advanced processor and simulation results are obtained by Keil c software.

Design and Implementation of Wireless Electric Power Meter Based on XBee Model

Since the 1991 Gulf War, Iraq is still suffering from the crisis and irregular in the processing of electric power to customers.Damage to the network, the old measurement devices for measuring electrical energy consumption, and irregularities and corruption in theprocess of measuring and calculating fees of the consumption, all these reasons led to the deterioration of the performance of thedistribution network in Iraq. In this paper, Wireless Electric Power Meter Based on XBee Module has been designed and implementedwhich ZigBee wireless sensor network (WSN) will be used for wireless electric power meter communication supported by PICmicrocontroller which used for power unit measurements. Wireless metering system will be controlled by central computer which place inbase station; also database will be design to record and manage all data and information of consumers.

Analysis of radio wave propagation for ISM 2.4 GHz Wireless Sensor Networks in inhomogeneous vegetation environments.

The use of wireless networks has experienced exponential growth due to the improvements in terms of battery life and low consumption of the devices. However, it is compulsory to conduct previous radio propagation analysis when deploying a wireless sensor network. These studies are necessary to perform an estimation of the range coverage, in order to optimize the distance between devices in an actual network deployment. In this work, the radio channel characterization for ISM 2.4 GHz Wireless Sensor Networks (WSNs) in an inhomogeneous vegetation environment has been analyzed. This analysis allows designing environment monitoring tools based on ZigBee and WiFi where WSN and smartphones cooperate, providing rich and customized monitoring information to users in a friendly manner. The impact of topology as well as morphology of the environment is assessed by means of an in-house developed 3D Ray Launching code, to emulate the realistic operation in the framework of the scenario. Experimental results gathered from a measurement campaign conducted by deploying a ZigBee Wireless Sensor Network, are analyzed and compared with simulations in this paper. The scenario where this network is intended to operate is a combination of buildings and diverse vegetation species. To gain insight in the effects of radio propagation, a simplified vegetation model has been developed, considering the material parameters and simplified geometry embedded in the simulation scenario. An initial location-based application has been implemented in a real scenario, to test the functionality within a context aware scenario. The use of deterministic tools can aid to know the impact of the topological influence in the deployment of the optimal Wireless Sensor Network in terms of capacity, coverage and energy consumption, making the use of these systems attractive for multiple applications in inhomogeneous vegetation environments.

A High-Resolution Sensor Network for Monitoring Glacier Dynamics

This paper provides an overview of a wide area wireless sensor network that was deployed on the calving front of the Helheim Glacier in Greenland during the summer of 2013. The purpose of the network was to measure the flow rate of the glacier using accurate satellite positioning data. The challenge in this extreme environment was to collect data in real time at the calving edge of the glacier. This was achieved using a solar powered 2.4-GHz Zigbee wireless sensor network operated in a novel hybrid cellular/mesh access architecture consisting of ice nodes communicating with base stations placed on the rock adjacent to the glacier. This highly challenging transmission environment created substantial signal outage conditions, which were successfully mitigated by a radio network diversity scheme. The network development and measurement campaign were highly successful yielding significant results on glacial dynamics associated with climate change.

MS-BWME: a wireless real-time monitoring system for brine well mining equipment.

This paper describes a wireless real-time monitoring system (MS-BWME) to monitor the running state of pumps equipment in brine well mining and prevent potential failures that may produce unexpected interruptions with severe consequences. MS-BWME consists of two units: the ZigBee Wireless Sensors Network (WSN) unit and the real-time remote monitoring unit. MS-BWME was implemented and tested in sampled brine wells mining in Qinghai Province and four kinds of indicators were selected to evaluate the performance of the MS-BWME, i.e., sensor calibration, the system's real-time data reception, Received Signal Strength Indicator (RSSI) and sensor node lifetime. The results show that MS-BWME can accurately judge the running state of the pump equipment by acquiring and transmitting the real-time voltage and electric current data of the equipment from the spot and provide real-time decision support aid to help workers overhaul the equipment in a timely manner and resolve failures that might produce unexpected production down-time. The MS-BWME can also be extended to a wide range of equipment monitoring applications.

A comprehensive WSN-based approach to efficiently manage a Smart Grid.

The Smart Grid (SG) is conceived as the evolution of the current electrical grid representing a big leap in terms of efficiency, reliability and flexibility compared to today's electrical network. To achieve this goal, the Wireless Sensor Networks (WSNs) are considered by the scientific/engineering community to be one of the most suitable technologies to apply SG technology to due to their low-cost, collaborative and long-standing nature. However, the SG has posed significant challenges to utility operators—mainly very harsh radio propagation conditions and the lack of appropriate systems to empower WSN devices—making most of the commercial widespread solutions inadequate. In this context, and as a main contribution, we have designed a comprehensive ad-hoc WSN-based solution for the Smart Grid (SENSED-SG) that focuses on specific implementations of the MAC, the network and the application layers to attain maximum performance and to successfully deal with any arising hurdles. Our approach has been exhaustively evaluated by computer simulations and mathematical analysis, as well as validation within real test-beds deployed in controlled environments. In particular, these test-beds cover two of the main scenarios found in a SG; on one hand, an indoor electrical substation environment, implemented in a High Voltage AC/DC laboratory, and, on the other hand, an outdoor case, deployed in the Transmission and Distribution segment of a power grid. The results obtained show that SENSED-SG performs better and is more suitable for the Smart Grid than the popular ZigBee WSN approach.

Design a Smart Control Strategy to Implement an Intelligent Energy Safety and Management System

The energy saving and electricity safety are today a cause for increasing concern for homes and buildings. Integrating the radio frequency identification (RFID) and ZigBee wireless sensor network (WSN) mature technologies, the paper designs a smart control strategy to implement an intelligent energy safety and management system (IESMS) which performs energy measuring, controlling, monitoring, and saving of the power outlet system. The presented RFID and billing module is used to identify user, activate smart power outlet (SPO) module, deduct payable for electricity, and cut off power supply to the outlets by taking away the RFID card. Further work on the SPO module, a control strategy based on the minimum effect and first-in first-out rule, is designed to autonomously shut down some of the power outlets instantly to prevent electrical circuit overload. In addition, the WSN transfers the power parameters of each SPO module to central energy monitoring platform, and the monitoring platform with graphical user interface (GUI) displays the real-time information and power charge of the electricity. Numerous tests validate the proposed IESMS and the effectiveness of the smart control strategy. The empirical findings may provide some valuable references for smart homes or smart buildings.