ISO/IEC/IEEE 21451 Compliant Sensor Nodes for Energy-Aware Wireless Sensor Networks

Giorgi, Giada

doi:10.1109/jsen.2014.2347134

Cited by 5 publications

(2 citation statements)

References 15 publications

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“…To make the system reconfigurable, architectures designed using SRAM-FPGA [17], FPGAs [18,19], PSOCs [20] are used to reconfigure SN functions. Also few research presents reconfigurable architectures using Atemga128 [2,21,22], MSP430 [23] Recently, sensor nodes compliant to ISO/IEC/IEEE 21451 family of standards are developed for making smart sensor nodes or so called TEDs [24,25]. Architecture based on ISO/IEC/IEEE 21451 family of standards do not support runtime reconfiguration and complete file needs to be sent for reconfiguration.…”

Section: Related Workmentioning

confidence: 99%

A Lightweight Algorithm To Optimize Power Consumption in Sensor Node Through Parametric Tuning of Communication Interface

Patel¹,

Shah²

2019

IJITEE

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Wireless sensor network is widely used to monitor sparsely generated events through a centralized system. The coverage provided by the network to monitor region of interest vary and rely on the system components of sensor node. While monitoring events from cluster head or sink through sensor nodes located at a distant, it experiences increased communication cost due to prone errors which are proportional to losses due to distance and interferences. Biotelemetry application is reviewed for the derivation of the research problem which is worked upon in the present paper. The animals move around in their habitat performing various activities which are to be monitored. The sensing tags are mounted on the animals to study the behaviour of the animals. These animals roam around in their habitat generating variation in the interferences caused for communication. Due to wide variations, the inefficiency of the sensor node in communication results in draining battery rapidly and thereby life of sensor node. So in order to improve lifetime the optimization at the sensor node is very essential to keep network alive. The technique that performs optimization needs to be lightweight in terms of processing required as well as tuning of parameter which are required for model based optimization methods. In the paper, we proposed a technique which is lightweight and can dynamically optimize operating state. It is done by adaptively configuring communication parameters to patch losses and conserve energy to enhance Sensor node lifetime. The optimization technique proposed, does parameter tuning to minimize the communication cost in sensor node through efficient search method. The results are compared with traditionally employed technique with static setting and Online Greedy Optimization Algorithm. NI LabVIEW is used to do simulation of the model and for estimating the effect of parameter reconfiguration upon application of optimization techniques

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Section: Related Workmentioning

confidence: 99%

A Lightweight Algorithm To Optimize Power Consumption in Sensor Node Through Parametric Tuning of Communication Interface

Patel¹,

Shah²

2019

IJITEE

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“…Thus, there is a lot of free space in the program and data memories of the microcontroller for other functionalities, e.g. for communication service functions according to the ISO/IEC/IEEE 21451-001 standard [28,29]. In the presented case, the communication is handled via the UART.…”

Section: Determination Of the Temperature Value Timentioning

confidence: 99%

An Implementation of a Compact Smart Resistive Sensor Based on a Microcontroller with an Internal ADC

Czaja¹

2016

Metrology and Measurement Systems

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In the paper a new implementation of a compact smart resistive sensor based on a microcontroller with internal ADCs is proposed and analysed. The solution is based only on a (already existing in the system) microcontroller and a simple sensor interface circuit working as a voltage divider consisting of a reference resistor and a resistive sensor connected in parallel with an interference suppression capacitor. The measurement method is based on stimulation of the sensor interface circuit by a single square voltage pulse and on sampling the resulting voltage on the resistive sensor. The proposed solution is illustrated by a complete application of the compact smart resistive sensor used for temperature measurements, based on an 8-bit ATxmega32A4 microcontroller with a 12-bit ADC and a Pt100 resistive sensor. The results of experimental research confirm that the compact smart resistive sensor has 1 o C resolution of temperature measurement for the whole range of changes of measured temperatures.

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Environment quality monitoring using ARM processor

Vinaya

Thanikanti

Ramasamy

2017

IOP Conf. Ser.: Mater. Sci. Eng.

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ISO/IEC/IEEE 21451 Compliant Sensor Nodes for Energy-Aware Wireless Sensor Networks

Cited by 5 publications

References 15 publications

A Lightweight Algorithm To Optimize Power Consumption in Sensor Node Through Parametric Tuning of Communication Interface

A Lightweight Algorithm To Optimize Power Consumption in Sensor Node Through Parametric Tuning of Communication Interface

An Implementation of a Compact Smart Resistive Sensor Based on a Microcontroller with an Internal ADC

Environment quality monitoring using ARM processor

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