Design of a Wireless Sensor Network from an Energy Management Perspective

Zheng, Jiayu; Elliott, Charles; Dersingh, Anand; Liscano, Ramiro; Eklund, Mikael

doi:10.1109/cnsr.2010.53

Cited by 4 publications

(2 citation statements)

References 7 publications

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“…Excitation commands were used for temperature and humidity sensors at 2.5 V and 5 V via the GeneralIO interface (e.g., instructions: GeneralIO as FIVE_VOLT) wired with the interface MicaBusC (e.g., instructions: App.FIVE_VOLT −> MicaBusC.PW5). The drivers used for the implementation of the sensor board MDA300 in the TinyOS were developed ad - hoc by Zheng et al [15]. SensorMDA300ca is the configuration module which presents all interfaces.…”

Section: Methodsmentioning

confidence: 99%

CrossVit: Enhancing Canopy Monitoring Management Practices in Viticulture

Matese

Vaccari

Tomasi

et al. 2013

Sensors

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A new wireless sensor network (WSN), called CrossVit, and based on MEMSIC products, has been tested for two growing seasons in two vineyards in Italy. The aims are to evaluate the monitoring performances of the new WSN directly in the vineyard and collect air temperature, air humidity and solar radiation data to support vineyard management practices. The WSN consists of various levels: the Master/Gateway level coordinates the WSN and performs data aggregation; the Farm/Server level takes care of storing data on a server, data processing and graphic rendering; Nodes level is based on a network of peripheral nodes consisting of a MDA300 sensor board and Iris module and equipped with thermistors for air temperature, photodiodes for global and diffuse solar radiation, and an HTM2500LF sensor for relative humidity. The communication levels are: WSN links between gateways and sensor nodes by ZigBee, and long-range GSM/GPRS links between gateways and the server farm level. The system was able to monitor the agrometeorological parameters in the vineyard: solar radiation, air temperature and air humidity, detecting the differences between the canopy treatments applied. The performance of CrossVit, in terms of monitoring and reliability of the system, have been evaluated considering: its handiness, cost-effective, non-invasive dimensions and low power consumption.

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Section: Methodsmentioning

confidence: 99%

CrossVit: Enhancing Canopy Monitoring Management Practices in Viticulture

Matese

Vaccari

Tomasi

et al. 2013

Sensors

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“…The application stays in this state for 250 ms and then triggers the event readDone. The time parameter 250 is calculated based on real time measurements for the sensor behaviour in (Zheng, 2010). This state chart also captures the MDA component's capability to turn the sensor's excitation on and off.…”

Section: The Hardware Stereotype Classesmentioning

confidence: 99%

UML Modelling of Design Patterns for Wireless Sensor Networks

Jacoub

Liscano

Bradbury

et al. 2013

Proceedings of the 2nd International Conference on Sensor Networks

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Wireless Sensor Network (WSN) systems are deployed to monitor specific phenomena. The design of WSNs is prone to errors and debugging and is very challenging due to the complex interactions of software components in a sensor node. This paper presents a set of UML patterns that can be used as a basis for software design of WSN systems. The UML patterns are used to capture the design components, the application flow, the components' behaviour, and the interaction between the components and the application design. The design patterns for WSNs are justified by applying them to the WSN-RFID application that integrates RFIDs and sensor nodes in order to support authenticated point-to-point communication with a sensor node.

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Design and development of a flood warning system via mobile and computer networks

Dersingh

2016

2016 International Conference on Electronics, Information, and Communications (ICEIC)

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Design of a Wireless Sensor Network from an Energy Management Perspective

Cited by 4 publications

References 7 publications

CrossVit: Enhancing Canopy Monitoring Management Practices in Viticulture

CrossVit: Enhancing Canopy Monitoring Management Practices in Viticulture

UML Modelling of Design Patterns for Wireless Sensor Networks

Design and development of a flood warning system via mobile and computer networks

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