Training Monitoring System for Cyclist Based on Android Application Development

2013 ◽  
Vol 64 (3) ◽  
Author(s):  
Nurul Mu’azzah Abdul Latiff ◽  
Mohd Musa Mohamad ◽  
Sharifah Kamilah Syed Yusof ◽  
, Mohd. Rozaini Abd. Rahim ◽  
Hamdan Sayuti ◽  
...  
Keyword(s):  
Monitoring System ◽  
Data Storage ◽  
Traditional Approach ◽  
Cost Effective ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Android Application ◽  
Application Development ◽  
Java Language ◽  
Sqlite Database

Recently, technological advance in Android application has grown rapidly especially in health care application along with the development of smartphone. The utilization of wireless sensor networks with the mobile wireless health devices has provided us with an alternative solution in health monitoring instead of using the traditional approach with higher cost. Therefore, the objective of this project is to develop and implement a training monitoring system for cyclist based on android application. In this system, wireless sensor nodes are assigned to collect the required data such as cyclist’s heart rate and cadence. All the data are then sent to the mobile device used by cyclist via wireless communication. The data collected are first stored in device’s internal memory before they are transferred to the server. This project involved programming of hardware using specific software such as Eclipse Juno Android SDK and SQLite database. The system also includes the graphical user interface (GUI) design using Java language for application on smartphone. In addition, the simple Dropbox command is used to design the server for data storage. All the stages of implementations are integrated in one whole system and can be run as an application by cyclist. The developed system is proven to be cost effective and reliable as well as easy for customization.

Study of Mine Environment Monitoring System Based on Wireless Sensor Network

2013 ◽  
Vol 278-280 ◽  
pp. 809-812
Author(s):  
Jun Wang ◽  
Feng Wang ◽  
Shu Ren Han
Keyword(s):  
Monitoring System ◽  
Data Storage ◽  
Large Scale ◽  
Nonlinear Problems ◽  
Original Data ◽  
Sensor Nodes ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Mine Environment ◽  
Multi Sensor Data Fusion

There are a large number of sensors to detect information in mine environment system, which provides the original data for the prevention and treatment of mine accidents. According to data flow of data acquisition, data transmission, data storage and data processing, this paper used CC2530 to design the wireless sensor nodes, analyzed the Zigbee network topology underground and designed an optimized PEGASIS protocol. The multi-sensor data fusion method was applied to the multi-parameter and large-scale mine data, solved the nonlinear problems in the multi-feature selection and extraction and also improved the performance of mine monitoring system.

scholarly journals A Remote Monitoring System of Logistics Carrier Based on Wireless Sensor Network

2018 ◽  
Vol 14 (01) ◽  
pp. 4
Author(s):  
Wang Weidong
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Monitoring Network ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Remote Monitoring System ◽  
Monitoring Center

To improve the efficiency of the remote monitoring system for logistics transportation, we proposed a remote monitoring system based on wireless sensor network and GPRS communication. The system can collect information from the wireless sensor network and transmit the information to the ZigBee interpreter. The monitoring system mainly includes the following parts: Car terminal, GPRS transmission network and monitoring center. Car terminal mainly consists by the Zigbee microcontroller and peripherals, wireless sensor nodes, RFID reader, GPRS wireless communication module composed of a micro-wireless monitoring network. The information collected by the sensor communicates through the GPRS and the monitoring center on the network coordinator, sends the collected information to the monitoring center, and the monitoring center realizes the information of the logistics vehicle in real time. The system has high applicability, meets the design requirements in the real-time acquisition and information transmission of the information of the logistics transport vehicles and goods, and realizes the function of remote monitoring.

scholarly journals In-Situ Pipeline Monitoring System Design for Identifying and Locating Damaging Activities Based on Wireless Sensor Network

2020 ◽  
pp. 33-46
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Monitoring Methods ◽  
Pipeline Monitoring

Due to the recent advancements in the fields of Micro Electromechanical Sensors (MEMS), communication, and operating systems, wireless remote monitoring methods became easy to build and low cost option compared to the conventional methods such as wired cameras and vehicle patrols. Pipeline Monitoring Systems (PMS) benefit the most of such wireless remote monitoring since each pipeline would span for long distances up to hundreds of kilometers. However, precise monitoring requires moving large amounts of data between sensor nodes and base station for processing which require high bandwidth communication protocol. To overcome this problem, In-Situ processing can be practiced by processing the collected data locally at each node instead of the base station. This Paper presents the design and implementation of In-situ pipeline monitoring system for locating damaging activities based on wireless sensor network. The system built upon a WSN of several nodes. Each node contains high computational 1.2GHz Quad-Core ARM Cortex-A53 (64Bit) processor for In-Situ data processing and equipped in 3-axis accelerometer. The proposed system was tested on pipelines in Al-Mussaib gas turbine power plant. During test knocking events are applied at several distances relative to the nodes locations. Data collected at each node are filtered and processed locally in real time in each two adjacent nodes. The results of the estimation is then sent to the supervisor at base-station for display. The results show the proposed system ability to estimate the location of knocking event.

A framework for indoor construction resources tracking by applying wireless sensor networks1This paper is one of a selection of papers in this Special Issue on Construction Engineering and Management.

2012 ◽  
Vol 39 (9) ◽  
pp. 1083-1088 ◽  
Author(s):  
Xuesong Shen ◽  
Ming Lu
Keyword(s):  
Radio Frequency Identification ◽  
Cost Effective ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Mobile Nodes ◽  
Received Signal Strength Indicator ◽  
Construction Engineering ◽  
Global Positioning ◽  
Frequency Identification ◽  
Selection Of

The state-of-the-art tracking technologies, such as the global positioning system (GPS) and the radio frequency identification (RFID), lend themselves well to applications in relatively open areas, while falling short of accuracy and reliability in indoor or partially covered application settings due to signal blockage, distortion or deterioration. This research aims to address this challenge in construction engineering by exploring a cost-effective positioning methodology to realize automated and continuous tracking of construction resources. The emerging ZigBee-based wireless sensor networks (WSN) technology is introduced. A framework of WSN application is proposed for indoor construction resources tracking, which consists of a group of stationary and mobile sensor nodes that can communicate with one another. Real-time locations of the mobile nodes can be determined by applying the localization method based on received signal strength indicator (RSSI) and geometric trilateration.

scholarly journals The Design of Electrical Equipment Overheat Monitoring System on Electric Propulsion Ship Based on WSN

2018 ◽  
Vol 246 ◽  
pp. 03029
Author(s):  
Chuan Ma ◽  
Diyang Li ◽  
Hongyu Mao
Keyword(s):  
Wireless Sensor Network ◽  
Monitoring System ◽  
Electric Propulsion ◽  
Sensor Node ◽  
Laboratory Data ◽  
Electrical Equipment ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Power Method ◽  
Electric Equipment

Wired electric equipment overheating monitoring system has some limitations in electric propulsion ships. This paper designs an electrical equipment overheat monitoring system based on Wireless Sensor Network (WSN) to monitor the overheat of electrical equipment. To verify the performance of the whole system, we design the hardware and the software of sensor nodes and coordinators. In order to extend the lifetime of sensor node effectively, the system adopts the dynamic sleep and controllable transmit power method. The results show that this system achieves the accurate measurement of electrical equipment temperature. At the same time, laboratory data tests shown that it can achieve the same accuracy as wired measurements. This paper provides a new solution for overheating monitoring of marine electrical equipment.

scholarly journals Deployment of Wireless Sensor Networks for Oilfield Monitoring by Multiobjective Discrete Binary Particle Swarm Optimization

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Zhen-Lun Yang ◽  
Angus Wu ◽  
Hua-Qing Min
Keyword(s):  
Wireless Sensor Networks ◽  
Particle Swarm Optimization ◽  
Sensor Networks ◽  
Real Time ◽  
Monitoring System ◽  
Particle Swarm ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Binary Particle Swarm Optimization ◽  
Swarm Optimization

The deployment problem of wireless sensor networks for real time oilfield monitoring is studied. As a characteristic of oilfield monitoring system, all sensor nodes have to be installed on designated spots. For the energy efficiency, some relay nodes and sink nodes are deployed as a delivery subsystem. The major concern of the construction of the monitoring system is the optimum placement of data delivery subsystem to ensure the full connectivity of the sensor nodes while keeping the construction cost as low as possible, with least construction and maintenance complexity. Due to the complicated landform of oilfields, in general, it is rather difficult to satisfy these requirements simultaneously. The deployment problem is formulated as a constrained multiobjective optimization problem and solved through a novel scheme based on multiobjective discrete binary particle swarm optimization to produce optimal solutions from the minimum financial cost to the minimum complexity of construction and maintenance. Simulation results validated that comparing to the three existing state-of-the-art algorithms, that is, NSGA-II, JGGA, and SPEA2, the proposed scheme is superior in locating the Pareto-optimal front and maintaining the diversity of the solutions, thus providing superior candidate solutions for the design of real time monitoring systems in oilfields.

Signal Processing and Design of Nodes in WSN Agricultural Monitoring System

2013 ◽  
Vol 756-759 ◽  
pp. 636-640
Author(s):  
Xin Qian ◽  
Dong Wang ◽  
Xiang Xian Zhu
Keyword(s):  
Signal Processing ◽  
Software Development ◽  
Monitoring System ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Structural System ◽  
Wireless Sensor Nodes ◽  
Development System ◽  
Software Development System ◽  
Design Requirements

By analysis of WSN node signal processing, we designed a node structural system in WSN agricultural monitoring system and use the ideas of this system to complete the development of wireless sensor nodes. TinyOS, as the node software development system is chosen to test the node performance. The results showed that, the node meets the design requirements, and it can be effectively applied in WSN agricultural monitoring system.

scholarly journals Diagnostic Agent Based Inter-Process Communication Aware Monitoring System for Wireless Sensor Networks

2019 ◽  
Vol 38 (2) ◽  
pp. 321-334
Author(s):  
Amna Zafar ◽  
Ali Hammad Akber
Keyword(s):  
Fault Diagnosis ◽  
Monitoring System ◽  
Cluster Head ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Agent Based ◽  
Process Communication ◽  
Diagnostic Agent ◽  
Process Failures ◽  
Inter Process Communication

Process failures are instigated by underlying errors and faults in various layers of WSN (Wireless Sensor Network) communication protocol stack. Therefore, efficient and effective monitoring systems for fault detection and diagnosis are imperative for fault tolerance and robust operation of WSN to meet critical application requirements for reliability and throughput. Existing detection-diagnosis regimen are either centralized or distributed and network monitoring is performed passively or actively. This work presents a diagnostic agent based inter-process communication aware monitoring system for WSNs. Diagnostic agent actively performs probe-based process execution tracking and examines the effects of errors, omissions and channel misbehavior on process execution at node, link and network levels to implement failure detection and fault diagnosis. Such diagnosis is performed through the inference of inter-process communication of stacked and peer layer processes on sender and receiver side. The monitoring system has been implemented in Castalia simulator for WSN. Local diagnostic agent is implemented on sensor nodes for self-monitoring and network wide fault diagnosis is performed by global diagnostic agent on cluster head. Simulation results show that the system performs robust root cause analysis of critical process failures due to errors in stacked and peer layer processes. The decentralized distribution of diagnostic load on sensor nodes and cluster head produces lesser communication overhead and is energy efficient.

scholarly journals Automatic Remote Farm Irrigation System with WSN and Weather Forecasting

2022 ◽  
Vol 2161 (1) ◽  
pp. 012075
Author(s):  
Aditya Sai Kilaru ◽  
Prem Madishetty ◽  
Harsha Vardhan Naidu Yamala ◽  
C V Giriraja
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Weather Forecasting ◽  
Irrigation System ◽  
Weather Prediction ◽  
Cost Effective ◽  
Reliable Data ◽  
Sensor Nodes ◽  
Wireless Sensor

Abstract The paper showcases the system used for automating agriculture using wireless sensor network (WSN) and weather prediction. WSN, is more efficient than IoT as it avoids connecting all the sensor nodes directly to Internet, thus reducing the traffic over Internet and energy consumption of the sensor network. The system consists of a clustered tree topology to increase the range of operation, connectivity and easily connect new nodes dynamically. The sensor nodes being the leaves, local gateways being the branches and the global gateway being the root node. The system is implemented using cost effective micro-controllers, robust communication modules and reliable data showcasing platforms. Our implementation uses weather prediction to minimize the water needed for irrigation. Thereby minimizing cost and increasing efficient usage of resources.

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