scholarly journals Reducing the Energy Budget in WSN Using Time Series Models

2020 ◽  
Vol 2020 ◽  
pp. 1-15 ◽  
Author(s):  
Felicia Engmann ◽  
Ferdinand Apietu Katsriku ◽  
Jamal-Deen Abdulai ◽  
Kofi Sarpong Adu-Manu
Keyword(s):  
Data Transmission ◽  
Energy Savings ◽  
Data Driven ◽  
Wireless Sensor ◽  
Time Series Models ◽  
Duty Cycling ◽  
Data Driven Approach ◽  
Save Energy ◽  
The Cost ◽  
Prediction Approach

Energy conservation is critical in the design of wireless sensor networks since it determines its lifetime. Reducing the frequency of transmission is one way of reducing the cost, but it must not tamper with the reliability of the data received at the sink. In this paper, duty cycling and data-driven approaches have been used together to influence the prediction approach used in reducing data transmission. While duty cycling ensures nodes that are inactive for longer periods to save energy, the data-driven approach ensures features of the data that are used in predicting the data that the network needs during such inactive periods. Using the grey series model, a modified rolling GM(1,1) is proposed to improve the prediction accuracy of the model. Simulations suggest a 150% energy savings while not compromising on the reliability of the data received.

scholarly journals A data-driven approach to increasing the lifetime of IoT sensor nodes

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Shikhar Suryavansh ◽  
Abu Benna ◽  
Chris Guest ◽  
Somali Chaterji
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Data Transmission ◽  
Data Transfer ◽  
Streaming Data ◽  
Sensor Nodes ◽  
Data Driven ◽  
Wireless Sensor ◽  
Battery Lifetime ◽  
Data Driven Approach

AbstractData transmission accounts for significant energy consumption in wireless sensor networks where streaming data is generated by the sensors. This impedes their use in many settings, including livestock monitoring over large pastures (which forms our target application). We present Ambrosia, a lightweight protocol that utilizes a window-based timeseries forecasting mechanism for data reduction. Ambrosia employs a configurable error threshold to ensure that the accuracy of end applications is unaffected by the data transfer reduction. Experimental evaluations using LoRa and BLE on a real livestock monitoring deployment demonstrate 60% reduction in data transmission and a 2 $$\times$$ × increase in battery lifetime.

Impact of Duty-Cycling

2020 ◽  
pp. 1557-1579
Author(s):  
Nassima Bouadem ◽  
Rahim Kacimi ◽  
Abdelkamel Tari
Keyword(s):  
Sensor Node ◽  
Low Cost ◽  
Research Topic ◽  
Wireless Sensor ◽  
Energy Availability ◽  
Duty Cycling ◽  
Save Energy ◽  
Fruitful Research ◽  
The Impact

Wireless Sensor Networks (WSNs) became omnipresent in our daily life. As a result, they have emerged as a fruitful research topic, because of their advantages, especially their low cost and easy deployment. However, these attractive merits imply that available resources, especially energy, in each sensor node have to be wisely used through different network dynamics. Beside other techniques, duty-cycling (DC) is the first widely used one to save energy in WSNs. However, due to the continuous changes, mainly in the energy availability, the nodes have to operate in a very low DC which is a required strategy in many applications in order to keep the network operational. This article presents a detailed survey that provides an interesting view of different DC schemes which are proposed to tackle the specific WSN challenges, and it also gives a novel classification of DC schemes that includes the most recent techniques. The last part aims to investigate the impact of the low DC on both the network and the application layer.

scholarly journals Wireless Sensor Network in Agriculture: Model of Cyber Security

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6747
Author(s):  
Radomir Prodanović ◽  
Dejan Rančić ◽  
Ivan Vulić ◽  
Nenad Zorić ◽  
Dušan Bogićević ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Cyber Security ◽  
Data Security ◽  
Data Gathering ◽  
Wireless Sensor ◽  
Security Model ◽  
Proposed Model ◽  
Save Energy ◽  
Secured Data ◽  
The Cost

Nowadays, wireless sensor networks (WSN) are widely used in agriculture monitoring to improve the quality and productivity of farming. In this application, sensors gather different types of data (i.e., humidity, carbon dioxide level, and temperature) in real-time scenarios. Thus, data gathering, transmission, and rapid response to new circumstances require a secured data mechanism to avoid malicious adversaries. Therefore, this paper focuses on data security from the data origin source to the end-user, and proposes a general data security model that is independent of the network topology and structure, and can be widely used in the agriculture monitoring application. The developed model considers practical aspects, the architecture of the sensor node, as well as the necessity to save energy while ensuring data security, and optimize the model through the application of organizational and technical measures. The model evaluation is conducted through simulation in terms of energy consumption. The result shows that the proposed model ensures good data security at the cost of a slight increase in energy consumption at receiver and sender nodes, and energy consumption per bit, up to 2%, 7%, and 1.3%, respectively, due to overhead added for authentication in the network.

scholarly journals Data-driven estimation of the sensitivity of target-oriented time-lapse seismic imaging to source geometry

Geophysics ◽  
2013 ◽  
Vol 78 (2) ◽  
pp. R47-R58 ◽  
Author(s):  
Andrey H. Shabelansky ◽  
Alison Malcolm ◽  
Michael Fehler
Keyword(s):  
Seismic Data ◽  
Signal To Noise Ratio ◽  
Time Lapse ◽  
Data Driven ◽  
Target Region ◽  
Data Driven Approach ◽  
Cost Of Time ◽  
The Cost ◽  
Time Lapse Imaging ◽  
Source Geometry

The goal of time-lapse imaging is to identify and characterize regions in which the earth’s material properties have changed between surveys. This requires an effective deployment of sources and receivers to monitor the region where changes are anticipated. Because each source adds to the acquisition cost, we should ensure that only those sources that best image the target are collected and used to form an image of the target region. This study presents a data-driven approach that estimates the sensitivity of target-oriented imaging to source geometry. The approach is based on the propagation of the recorded baseline seismic data backward in time through the entire medium and coupling it with the estimated perturbation in the subsurface. We test this approach using synthetic surface seismic and time-lapse VSP field-data from the SACROC field. These tests show that the use of the baseline seismic data enhances the robustness of the sensitivity estimate to errors, and can be used to select data that best image a target zone, thus increasing the signal-to-noise ratio of the image of the target region and reducing the cost of time-lapse acquisition, processing, and imaging.

scholarly journals Animation of Flocks Flying in Line Formations

2011 ◽  
Vol 18 (1) ◽  
pp. 91-105 ◽  
Author(s):  
Marina Klotsman ◽  
Ayellet Tal
Keyword(s):  
Energy Savings ◽  
Data Driven ◽  
Rule Based ◽  
Data Driven Approach ◽  
Initiation Stage

We provide a biologically motivated technique for modeling and animating bird flocks in flight, which produces plausible and realistic-looking flock animations. While most previous approaches have focused on animating cluster formations, this article introduces a technique for animating flocks that fly in certain patterns, so-called line formations. We distinguish between the behavior of such flocks during initiation and their behavior during steady flight. Our simulation of the initiation stage is rule-based and incorporates an artificial bird model. Our simulation of the steady-flight stage combines a data-driven approach and an energy-savings model.

Impact of Duty-Cycling

2016 ◽  
Vol 12 (1) ◽  
pp. 16-35
Author(s):  
Nassima Bouadem ◽  
Rahim Kacimi ◽  
Abdelkamel Tari
Keyword(s):  
Low Cost ◽  
Research Topic ◽  
Wireless Sensor ◽  
Energy Availability ◽  
Application Layer ◽  
Duty Cycling ◽  
Save Energy ◽  
Fruitful Research ◽  
The Impact

Wireless Sensor Networks (WSNs) became omnipresent in our daily life. As a result, they have emerged as a fruitful research topic, because of their advantages, especially their low cost and easy deployment. However, these attractive merits imply that available resources, especially energy, in each sensor node have to be wisely used through different network dynamics. Beside other techniques, duty-cycling (DC) is the first widely used one to save energy in WSNs. However, due to the continuous changes, mainly in the energy availability, the nodes have to operate in a very low DC which is a required strategy in many applications in order to keep the network operational. This article presents a detailed survey that provides an interesting view of different DC schemes which are proposed to tackle the specific WSN challenges, and it also gives a novel classification of DC schemes that includes the most recent techniques. The last part aims to investigate the impact of the low DC on both the network and the application layer.

Virtual Reference Feedback Tuning for Cascade Control Systems

2016 ◽  
Vol 28 (5) ◽  
pp. 739-744 ◽  
Author(s):  
Huy Quang Nguyen ◽  
◽  
Osamu Kaneko ◽  
Yoshihiko Kitazaki ◽  
Keyword(s):  
Control Systems ◽  
Cascade Control ◽  
Data Driven ◽  
Experiment Data ◽  
Feedback Controllers ◽  
Virtual Reference ◽  
Text Data ◽  
Tuning Method ◽  
Data Driven Approach ◽  
The Cost

[abstFig src='/00280005/17.jpg' width='300' text='Data-driven approach to cascade control systems' ] Virtual Reference Feedback Tuning (VRFT), proposed by Campi et al., is an effective data-driven tuning method used in feedback controllers because the desired parameters implemented in the controller are obtained by using only one-shot experiment data. In this paper, we apply VRFT to cascade control systems. We also discuss the meaning of the cost function to be minimized. A numerical example is demonstrated to show an effectiveness and validity of our proposed method.

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