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Proceedings ArticleDOI

Research of temperature and humidity monitoring system based on WSN and fuzzy control

29 Jul 2011-Vol. 4
TL;DR: The monitoring results for temperature and humidity have shown that this multi-parameter monitoring system is stable, high reliable in data transmission and easy to use, and can be widely used in various areas of automatic monitoring of environmental parameters.
Abstract: Aiming at the features of environmental information monitoring, a multi-parameter monitoring system is designed based on low-power ZigBee wireless communication technology to improve overall the level of system automation and monitoring. By wireless sensor networks the data is collected and processed real-time and at the receiving end the data is received, saved and displayed to achieve temperature and humidity monitoring. The implementation of system software and hardware are given, including the design of wireless node and the implementation principle of data transmission and communication modules. This system overcomes the limitations of wired sensor networks and has the properties of flexible networking for monitoring equipment, convenient removing, low cost nodes and high capacity. The monitoring results for temperature and humidity have shown that this system is stable, high reliable in data transmission and easy to use, and can be widely used in various areas of automatic monitoring of environmental parameters.
Citations
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Proceedings ArticleDOI
20 May 2018
TL;DR: This paper proposes new operating modes for BLE to provide a much wider applicability range covering asynchronous, aperiodic and very low frequency scenarios while extending lifetime, without modification of the existing BLE specification.
Abstract: Bluetooth Low Energy (BLE) has shown higher energy efficiency and robustness than other well known Wireless Sensor Network (WSN) protocols, making it a strong candidate for implementation in IoT scenarios. In addition, BLE is in almost every smartphone, turning it into perfect ubiquitous remote controls for smart homes, buildings or cities. In this paper we propose new operating modes for BLE to provide a much wider applicability range covering asynchronous, aperiodic and very low frequency scenarios while extending lifetime, without modification of the existing BLE specification. In order to estimate battery lifetime, we propose a coin cell battery model. We show how to efficiently adapt the protocol for different IoT scenarios based on their requirements, thus extending battery lifetime as much as possible while guaranteeing acceptable latency. Our results on two typical test-cases show that by using an optimized configuration and appropriate operating mode based on scenario requirements, lifetime can be increased up to ~2x (4.1 to 7.3 years) for a BLE master in a first case, and ~58x (3.05 months to 14.82 years) for a BLE slave in a second case. This shows BLE compatibility with a vast amount of IoT-related use cases.

13 citations


Cites background from "Research of temperature and humidit..."

  • ...Temperature and humidity are monitored at several moments in the day, we consider that the average timing between transmissions is 43 minutes with no constraint on the latency [11] so th main constraint is energy consumption....

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  • ...First we consider one single node communicating to a central device to send temperature and humidity readings every 43minutes in average [11]....

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01 Jan 2012
TL;DR: In this article, the authors have discussed three types of management systems used in agriculture from a remote area using WSNs: Green House Management, Irrigation Management and Storage Management.
Abstract: Agriculture is the backbone of any Country's economy and there is a strong correlation between agricultural growth and economic prosperity. We need a new and effective technology which can improve continuously the productivity, profitability, sustainability of our major farming systems. In this paper we have discussed three types of Management systems used in Agriculture from remote area. In the first category we have discussed about the different systems used in Green House Management using Wireless sensor networks. In the second category we have discussed about the Irrigation Management using Wireless sensor networks. Finally we have also discussed about the Storage Management using Wireless Sensor Networks.

13 citations


Cites background from "Research of temperature and humidit..."

  • ...But when they are coordinated with other nodes in the network, they have the ability to communicate, measure and actuate in great detail....

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Proceedings ArticleDOI
22 Oct 2012
TL;DR: The system provides for remote monitoring of the temperature and humidity levels of different parts of the plant with the help of the Wireless Senor Network Module by National Instruments and is based on labView software platform, which makes it ideal for industrial applications.
Abstract: Temperature and humidity are key issues to be taken care of in manufacturing plants and particularly that of electronic assemblies. Lack of control over any of them will not only affect the component and equipment but also the process and the operators' comfort, all ultimately leading to loss in production. This paper aims to provide a solution for similar problem. The system provides for remote monitoring of the temperature and humidity levels of different parts of the plant with the help of the Wireless Senor Network Module by National Instruments and is based on labView software platform. In addition, it has the functionalities of a secured access for login, easy reconfiguration, alarm facility in case of over limit and data logging capability for further analysis. All these make it ideal for industrial applications.

11 citations

Proceedings ArticleDOI
10 Jul 2015
TL;DR: A WSN protocol named APTEEN protocol is proposed that helps to increase network lifetime of the nodes by periodic monitoring of the sensor nodes and communicating the necessary parameters to the farmers for taking action.
Abstract: In the recent years Wireless Sensor Networks (WSNs) have garnered attention. The applications of WSN includes collecting, storing and sharing sensed data which is used for habitat monitoring, agriculture, nuclear reactor control, security and tactical surveillance. Here we aim to explore the potential benefits of WSN to address precision agriculture problems in India. Since farming involves a vast area of land to be covered the deployment of sensor nodes includes a few barriers. Sensor nodes are battery powered and improvement of the lifetime of these nodes is important particularly when the nodes collect real time data and assist farmers towards proper cultivation. Here we propose a WSN protocol named APTEEN protocol that helps to increase network lifetime of the nodes by periodic monitoring of the sensor nodes and communicating the necessary parameters to the farmers for taking action. Cultivation of sugarcane crop includes a multi parameter monitoring system designed based on low-power ZigBee wireless communication technology for system automation and monitoring. Real time data is collected by wireless sensor nodes and transmitted to base station using zigbee. Data is received, saved and displayed at base station to achieve soil temperature, soil moisture and humidity monitoring. The data is continuously monitored at base station and if it exceeds the desired limit, a message is sent to farmer on mobile through GSM network for controlling actions. Further the limitations of wired sensor networks are overcome and have the advantage of flexible networking for monitoring equipment, convenient installation and removing of equipment, low cost and reliable nodes and high capacity.

8 citations

Dissertation
11 Jul 2012
TL;DR: In this paper, the authors describe a rendre performante, les modeles comportementaux des composants elementaires du systeme doivent etre capables de remplacer les elements reels dans leurs influences and reponses a tous les phenomenes influents: perturbations, affaiblissements, retards, etc.
Abstract: Afin d'accelerer ce processus de conception des systemes embarques, un environnement de simulation rapide et performant peut s'averer indispensable. Pour la rendre performante, les modeles comportementaux des composants elementaires du systeme doivent etre capables de remplacer les elements reels dans leurs influences et reponses a tous les phenomenes influents: perturbations, affaiblissements, retards... Nos travaux de these visent a contribuer a cette approche methodologique : ils traitent le developpement d'un emulateur des RCSFs. Pour ce faire deux types de simulateurs ont ete etudies: * le premier est un simulateur " software " base sur la creation de modeles comportementaux, decrits en langage VHDL-AMS. * le deuxieme est un simulateur hardware base sur la creation des modeles logiques comportementaux, decrits en langage VHDL synthetisable. La simulation s'effectuera sur un composant FPGA cible. Des modifications peuvent etre faites sur l'architecture de maniere dynamique.

5 citations


Additional excerpts

  • ...[23] Xinrong Zhang ; Bo Chang, Research of temperature and humidity monitoring system based on WSN and fuzzy control, International Conference on Electronics and Optoelectronics (ICEOE), 2011, pp V4-300 - V4-303....

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References
More filters
Journal ArticleDOI
TL;DR: Mica provides a set of richly interconnected primitives to facilitate cross-layer optimizations and develops customized protocols tailored to their application; Mica does not require use of predefined protocols.
Abstract: Low-power integration of sensing, communication, and computation requires a new approach to wireless design. Flexible interfaces and primitive accelerators enable aggressive system-level optimizations. Mica's flexible design serves as a building block for creating efficient application-specific protocols. Instead of defining narrow, standardized application interfaces, Mica provides a set of richly interconnected primitives (such as data serializers and timing extractors) to facilitate cross-layer optimizations. To explore novel systems approaches, researchers can develop customized protocols tailored to their application; Mica does not require use of predefined protocols.

1,234 citations

Book
01 Jan 1994
TL;DR: This book discusses Elements of an Electrical Communication System, a manual for the design of Communication Channels and their Characteristics, and Random Processes: Basic Concepts, which describes random processes in the Frequency Domain.
Abstract: (NOTE: Each chapter concludes with Further Reading and Problems.) 1. Introduction. Historical Review. Elements of an Electrical Communication System. Communication Channels and Their Characteristics. Mathematical Models for Communication Channels. Organization of the Book. 2. Frequency Domain Analysis of Signals and Systems. Fourier Series. Fourier Transforms. Power and Energy. Sampling of Bandlimited Signals. Bandpass Signals. 3. Analog Signal Transmission and Reception. Introduction to Modulation. Amplitude Modulation (AM). Angle Modulation. Radio and Television Broadcasting. Mobile Radio Stations. 4. Random Processes. Probability and Random Variables. Random Processes: Basic Concepts. Random Processes in the Frequency Domain. Gaussian and White Processes. Bandlimited Processes and Sampling. Bandpass Processes. 5. Effect of Noise on Analog Communication Systems. Effect of Noise on Linear-Modulation Systems. Carrier-Phase Estimation with a Phase-Locked Loop (PLL). Effect of Noise on Angle Modulation. Comparison of Analog-Modulation Systems. Effects of Transmission Losses and Noise in Analog Communication Systems. 6. Information Sources and Source Coding. Modeling of Information Sources. Source-Coding Theorem. Source-Coding Algorithms. Rate-Distortion Theory. Quantization. Waveform Coding. Analysis-Synthesis Techniques. Digital Audio Transmission and Digital Audio Recording. The JPEG Image-Coding Standard. 7. Digital Transmission through the Additive White Gaussian Noise Channel. Geometric Representation of Signal Waveforms. Pulse Amplitude Modulation. Two-Dimensional Signal Waveforms. Multidimensional Signal Waveforms. Optimum Receiver for Digitally Modulated Signals in Additive White Gaussian Noise. Probability of Error for Signal Detection in Additive White Gaussian Noise. Performance Analysis for Wireline and Radio Communication Channels. Symbol Synchronization. 8. Digital Transmission through Bandlimited AWGN Channels. Digital Transmission through Bandlimited Channels. The Power Spectrum of Digitally Modulated Signals. Signal Design for Bandlimited Channels. Probability of Error in Detection of Digital PAM. Digitally Modulated Signals with Memory. System Design in the Presence of Channel Distortion. Multicarrier Modulation and OFDM. 9. Channel Capacity and Coding. Modeling of Communication Channels. Channel Capacity. Bounds on Communication. Coding for Reliable Communication. Linear Block Codes. Cyclic Codes. Convolutional Codes. Complex Codes Based on Combination of Simple Codes. Coding for Bandwidth-Constrained Channels. Practical Applications of Coding. 10. Wireless Communications. Digital Transmission on Fading Multipath Channels. Continuous Carrier-Phase Modulation. Spread-Spectrum Communication Systems. Digital Cellular Communication Systems. Appendix A: The Probability of Error for Multichannel Reception of Binary Signals. References. Index.

1,029 citations

Book
01 Jan 2004
TL;DR: This book discusses smart environment technologies, applications, and how to design for the Human Experience in Smart Environments and address privacy, security, and Trust issues in smart environments.
Abstract: ContributorsForeword by (Howard E Shrobe)AcknowledgementsPART 1: INTRODUCTION1 Overview (D Cook & S Das)PART 2: TECHNOLOGIES FOR SMART ENVIRONMENTS2 Wireless Sensor Networks (F Lewis)3 Power Line Communication Technologies (H Latchman & A Mundi)4 Wireless Communications and Pervasive Technology (M Conti)5 Middleware (G Youngblood)6 Home Networking and Appliances (D Marples & S Moyer)PART 3: ALGORITHMS AND PROTOCOLS FOR SMART ENVIRONMENTS7 Designing for the Human Experience in Smart Environments (G Abowd & E Mynatt)8 Prediction Algorithms foor Smart Environments (D Cook)9 Location Estimation (Determination and Prediction) Techniques in Smart Environments (A Misra & S Das)10 Automated Decision Making (M Huber)11 Privacy, Security, and Trust Issues in Smart Environments (P Nixon, et al)PART 4: APPLICATIONS12 Lessons from an Adaptive Home (M Mozer)13 Smart Rooms (A Chen, et al)14 Smart Offices (C Gal)15 Perceptual Environments (A Pentland)16 Assistive Environments for Individuals with Special Needs (A Helal, et al)PART 5: CONCLUSIONS17 Ongoing Challenges and Future Directions (S Das & D Cook)Index

546 citations

Journal ArticleDOI
TL;DR: The key to success is in deploying the right wireless technologies for the requirements of the application and avoiding the temptation of trying to make one technology meet all needs.
Abstract: Most industry analysts are forecasting explosive growth in the use of wireless data network technologies in industrial applications. For both ZigBee and Bluetooth separate alliances of companies worked to develop specifications covering the network/link, security and application profile layers so that the commercial potential of the standards could be realized. Real industrial wireless networks are inevitably be hybrids including ZigBee/802.15.4 and Bluetooth in complementary roles that suit the characteristics of each. The key to success is in deploying the right wireless technologies for the requirements of the application and avoiding the temptation of trying to make one technology meet all needs.

277 citations

Journal ArticleDOI
13 May 2009-Sensors
TL;DR: This work explores the potential for combining GPS collars and satellite images in a WSN to monitor behavioural preferences and social behaviour of cattle and demonstrates the key to combining these technologies is communication methods such as wireless sensor networks.
Abstract: Remote monitoring of animal behaviour in the environment can assist in managing both the animal and its environmental impact. GPS collars which record animal locations with high temporal frequency allow researchers to monitor both animal behaviour and interactions with the environment. These ground-based sensors can be combined with remotely-sensed satellite images to understand animal-landscape interactions. The key to combining these technologies is communication methods such as wireless sensor networks (WSNs). We explore this concept using a case-study from an extensive cattle enterprise in northern Australia and demonstrate the potential for combining GPS collars and satellite images in a WSN to monitor behavioural preferences and social behaviour of cattle.

272 citations