Real-World Energy Measurements of a Wireless Mesh Network

•Download as PPTX, PDF•

0 likes•691 views

The document discusses energy efficiency measurements of a wireless mesh network used for environmental monitoring. Solar-powered mesh nodes with batteries were deployed in the Rhone Valley and their solar panel voltages, battery loads, and energy consumption were monitored. Measurement results over days and weeks showed that the battery and solar panel combination was sufficient to power the nodes, though some nodes required more energy. The data provides valuable insights for optimizing energy harvesting and consumption in wireless networks.

Energy Efficiency in Large Scale
Distributed Systems
Real-World Energy Measurements of a
Wireless Mesh Network
A. Jamakovic, D. Dimitrova, M. Anwander, T. Macicas,
T. Braun, J. Schwanbek, Th. Staub, B. Nyffenegger
Universität Bern, Switzerland
braun@iam.unibe.ch, cds.unibe.ch

Overview
> Introduction
— Environmental Monitoring Area
— Wireless Mesh Network Topology at Rhone Valley
— Environmental Monitoring Scenarios
> Solar-Powered Wireless Mesh Nodes
— Solar-Powered Wireless Mesh Node Hardware and Software
— Solar Energy Harvesting
> Energy Harvesting and Consumption Measurement Scenario
> Measurement Results
— Daily/Weekly Battery and Solar Panel Voltage Measurements
— Relationship of Battery and Solar Panel Voltage
— Battery Load and Mesh Node Consumption
— Solar Panel / Mesh Node Voltage and Battery / Mesh Node Current
> Conclusions and Outlook
EE-LSDS, Vienna, April 24, 2013
Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network
2

Environmental Monitoring Area
Sion
Sierre
Tseuzier
storage lake
Plaine Morte glacier
EE-LSDS, Vienna, April 24, 2013 3
Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network

Wireless Mesh Network Topology at
Rhone Valley
Sion
Sierre
EE-LSDS, Vienna, April 24, 2013 4
Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network

Environmental Monitoring Scenarios
EE-LSDS, Vienna, April 24, 2013
Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network
5

Solar-Powered Wireless Mesh Nodes
EE-LSDS, Vienna, April 24, 2013 6
Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network

Wireless Mesh Node Hardware and Software
> IP66 steel enclosure
> 1-2x Alix 3D2 system boards
> 1x Alix 6F2 system board
> 1-4x 801.11n mini PCI cards
> 1x 801.11g mini PCI card
> 1x UMTS mini PCI-Express
card
> I2C twin relay
> 2x2 MIMO, 25dBi,
dual polarization panel
antennas for 5.8 Ghz
> ADAM Linux running
Optimized Link State Routing
EE-LSDS, Vienna, April 24, 2013
Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network
7

Solar Energy Harvesting
> 90 Watt solar panels, voltage: 18.75 V
> Panels supply lead acid battery (78 Ah) and wireless mesh node
EE-LSDS, Vienna, April 24, 2013
Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network
8

Energy Harvesting and Consumption
Measurement Scenario
> Energy measurements by
charge controller
— in winter (nodes 3, 7)
— In summer (nodes 7, 8)
EE-LSDS, Vienna, April 24, 2013
Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network
9

Voltage Measurements During a Summer Day
EE-LSDS, Vienna, April 24, 2013
Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network
10

Voltage Measurements During a Winter Day
EE-LSDS, Vienna, April 24, 2013
Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network
11

Voltage Measurements During a Summer Week
EE-LSDS, Vienna, April 24, 2013
Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network
12

Relationship of Battery and
Solar Panel Voltage During Summer
EE-LSDS, Vienna, April 24, 2013
Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network
13

Relationship of Battery and
Solar Panel Voltage During Winter
EE-LSDS, Vienna, April 24, 2013
Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network
14

Battery Load and Mesh Node Consumption
During Summer
EE-LSDS, Vienna, April 24, 2013
Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network
15

Battery Load and Mesh Node Consumption
During Winter
EE-LSDS, Vienna, April 24, 2013
Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network
16

Solar Panel / Mesh Node Voltage and
Battery / Mesh Node Current
EE-LSDS, Vienna, April 24, 2013
Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network
17

Conclusions and Outlook
> Energy harvesting and consumption data in a
real wireless mesh deployment
> Results show good combination of battery and solar panel.
> Energy supply has been sufficient in our challenging
deployment.
> Certain nodes need more energy, data are valuable for solar
panel dimensioning
> Possible control of mesh node based on available energy and
weather prediction ?
EE-LSDS, Vienna, April 24, 2013
Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network
18

Thanks for your Attention
> More information
— cds.unibe.ch and a4-mesh.unibe.ch
— slideshare.net/torstenbraun
— braun@iam.unibe.ch
Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network
EE-LSDS, Vienna, April 24, 2013 19

A multidisciplinary research area such as wireless sensor networks (WSN) have been invoked the monitoring of remote physical environment and are used for a wide range of applications ranging from defense personnel to many scientific research, statistical application, disaster area and War Zone. These networks are constraint with energy, memory and computing power enhance efficient techniques are needed for data aggregation, data collection, query processing, decision making and routing in sensor networks. The problem encountered in the recent past was of the more battery power consumption as activity increases, need more efficient data aggregation and collection techniques with right decision making capabilities. Therefore, this paper proposed the efficient and effective architecture and mechanism of energy efficient techniques for data aggregation and collection in WSN using principles like global weight calculation of nodes, data collection for cluster head and data aggregation techniques using data cube aggregation.

Joint virtual mimo and data gathering

jpstudcorner

HEAD OFFICE (CHENNAI): JP INFOTECH, Old No. 31, New No: 86, 1st Floor, 1st Avenue, Ashok Nagar (Ashok Pillar), Chennai – 83. Landmark: Next to Kotak Mahendra Bank / Bharath Scans MOBILE: (0)9952649690 LANDLINE: (044) 43012642 E-MAIL: jpinfotechprojects@gmail.com PUDUCHERRY / PONDICHERRY OFFICE: JP INFOTECH, #45, Kamaraj Salai, Thattanchavady, Pondy-Tindivanam High Road, Puducherry/Pondicherry – 605009. Landmark: Opp. To Thattanchavady Industrial Estate and Next to VVP Nagar Arch. MOBILE: (0)9952649690 / (0) 8608600246 LANDLINE: (0413)4300535 E-MAIL: jpinfotechprojects@gmail.com

MINIMIZING RADIO RESOURCE USAGE FOR MACHINE-TO-MACHINE COMMUNICATIONS THROUGH...

Nexgen Technology

TO GET THIS PROJECT COMPLETE SOURCE ON SUPPORT WITH EXECUTION PLEASE CALL BELOW CONTACT DETAILS MOBILE: 9791938249, 0413-2211159, WEB: WWW.NEXGENPROJECT.COM,WWW.FINALYEAR-IEEEPROJECTS.COM, EMAIL:Praveen@nexgenproject.com NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.

G1802044855

IOSR Journals

Distributed compressive sampling for lifetimetopssy

PARALLEL BIJECTIVE PROCESSING OF REGULAR NANO SYSTOLIC GRIDS VIA CARBON FIELD...

ijcsit

New implementations for parallel processing applications using reversible systolic networks and the corresponding nano and field-emission controlled-switching components is introduced. The extensions of implementations to many-valued field-emission systolic networks using the introduced reversible systolic architectures are also presented. The developed implementations are performed in the reversible domain to perform the required parallel computing. The introduced systolic systems utilize recent findings in field emission and nano applications to implement the function of the basic reversible systolic network using nano controlled-switching. This includes many-valued systolic computing via carbon nanotubes and carbon field-emission techniques. The presented realization of reversible circuits can be important for several reasons including the reduction of power consumption, which is an important specification for the system design in several future and emerging technologies, and also achieving high performance realizations. The introduced implementations for non-classical systolic computation are new and interesting for the design within modern technologies that require optimal design specifications of high speed, minimum power and minimum size, which includes applications in adiabatic low-power signal processing.

Approach to minimizing consumption of energy in wireless sensor networks

IJECEIAES

The Wireless Sensor Networks (WSN) technology has benefited from a central position in the research space of future emerging networks by its diversity of applications fields and also by its optimization techniques of its various constraints, more essentially, the minimization of nodal energy consumption to increase the global network lifetime. To answer this saving energy problem, several solutions have been proposed at the protocol stack level of the WSN. In this paper, after presenting a state of the art of this technology and its conservation energy techniques at the protocol stack level, we were interested in the network layer to propose a routing solution based on a localization aspect that allows the creation of a virtual grid on the coverage area and introduces it to the two most well-known energy efficiency hierarchical routing protocols, LEACH and PEGASIS. This allowed us to minimize the energy consumption and to select the clusters heads in a deterministic way unlike LEACH which is done in a probabilistic way and also to minimize the latency in PEGASIS, by decomposing its chain into several independent chains. The simulation results, under "MATLABR2015b", have shown the efficiency of our approach in terms of overall residual energy and network lifetime.

Microstrip antenna is broadly used in the modern communication system due to its significant features such as light weight, inexpensive, low profile, and ease of integration with radio frequency devices. The fractal shape is applied in antenna geometry to obtain the ultra-wideband antennas. In this paper, the sierpinski carpet fractal monopole antenna (SCFMA) is developed for base case, first iteration and second iteration to obtain the wideband based on its space filling and self-similar characteristics. The dimension of the monopole patch size is optimized to minimize the overall dimension of the fractal antenna. Moreover, the optimized planar structure is proposed using the microstrip line feed. The monopole antenna is mounted on the FR4 substrate with the thickness of 1.6 mm with loss tangent of 0.02 and relative permittivity of 4.4. The performance of this SCFMA is analyzed in terms of area, bandwidth, return loss, voltage standing wave ratio, radiation pattern and gain. The proposed fractal antenna achieves three different bandwidth ranges such as 2.6-4.0 GHz, 2.5-4.3 GHz and 2.4-4.4 GHz for base case, first and second iteration respectively. The proposed SCFMA is compared with existing fractal antennas to prove the efficiency of the SCFMA design. The area of the SCFMA is 25×20 푚푚 2 , which is less when compared to the existing fractal antennas.

Quantum computing and machine learning overview

Colleen Farrelly

Energy-Efficient Compressive Data Gathering Utilizing Virtual Multi-Input Mul...

TELKOMNIKA JOURNAL

Data gathering is an attractive operation for obtaining information in wireless sensor networks (WSNs). But one of important challenges is to minimize energy consumption of networks. In this paper, an integration of distributed compressive sensing (CS) and virtual multi-input multi-output (vMIMO) in WSNs is proposed to significantly decrease the data gathering cost. The scheme first constructs a distributed data compression model based on low density parity check-like (LDPC-like) codes. Then a cluster-based dynamic virtual MIMO transmission protocol is proposed. The number of clusters, number of cooperative nodes and the constellation size are determined by a new established optimization model under the restrictions of compression model. Finally, simulation results show that the scheme can reduce the data gathering cost and prolong the sensor network’s lifetime in a reliable guarantee of sensory data recovery quality.

JOINT VIRTUAL MIMO AND DATA GATHERING FOR WIRELESS SENSOR NETWORKS

I3E Technologies

Green communication

Srinivas Vasamsetti

Corona based energy efficient clustering in wsn 2IAEME Publication

Design and implementation of grid based clustering in WSN using dynamic sink ...

journalBEEI

A wireless sensor networks (WSNs) play a significant application, especially in the monitored remoting environmental, which enables by the availability of sensors which are cheaper, smaller, and intelligent. The equipment of such sensors be with wireless interfaces, which a communication with other sensors occurs for creating a network, that contains many distributed nodes. The closest nodes to the sink are exploited at an enormous traffic load while the data from the whole regions are forwarded between them to reach the sink. This result in exhausting their energy quickly and partitioning the network. This is solved by changing the sink node position in Grid based clustering technique, which considers the optimal method for this purpose. A simulation with MATLAB can be applied for grid based clustering technique to evaluate the performance of WSN. The expected results deal with outperforms in throughput, reducing energy consumption and increasing residual energy, in addition to prolong the network lifetime of the sensor network.

UmtsAhmed Aam

Nirmal k. bose

Hoopeer Hoopeer

Aperture Coupled Microstrip Antennas with High Isolation for MIMO Systems

Conferenceproceedings

Communication Cost Reduction by Data Aggregation: A Survey

IJMTST Journal

Wireless Sensor Networks have gained wide popularity in the recent years for its high-ranking applications such as remote environment monitoring, target tracking, safety-critical monitoring etc. However Wireless Sensor Networks face many constraints like low computational power, small storage, and limited energy resources. One of the important issues in wireless sensor network is to increase the network lifetime to keep the network operational as long as possible. In this survey paper, we provide a comprehensive review of the existing literature on techniques and protocols for data aggregation to reduce communication cost and increase network lifetime in wireless sensor networks.

Target Response Electrical usage Profile Clustering using Big Data

IRJET Journal

An Adaptive Cluster Based Routing Protocol for WSN

Eswar Publications

The Wireless sensor networks (WSN) consisting of a large number of sensors that are effective for gathering data in a variety of environments, as the sensor operate on battery which is of limited power. To support high scalability and better data aggregation in fixed base station communication, sensor nodes are often grouped into disjoint, non overlapping subsets called clusters. Clusters create hierarchical WSN which incorporate efficient utilization of limited resources of sensor nodes. These clusters are formed by specialized cells. Each cluster is managed by a special node called cluster head and advanced node. An algorithm for better cluster head selection based on the node energy and the distance from base station to the cluster head for the efficient transmission and to reduce energy consumption by the sensor nodes is proposed in this paper. And the same algorithm is compared with the LEACH algorithm in terms of energy consumption.

CV - Vinh PhamVinh Pham-Xuan

A Survey on Data Aggregation Cluster based Technique in Wireless Sensor Netwo...

IRJET Journal

WSN nodes power consumption using multihop routing protocol for illegal cutti...

TELKOMNIKA JOURNAL

The need for an automation system from a remote area cannot be separated from the role of the wireless sensor network. However, the battery consumption is still a problem that influences the lifetime of the system. This research focused on studying how to characterize the power consumption on each sensor node using multihop routing protocol in the illegal logging field, to get the prediction lifetime of the network. The system is designed by using six sensor nodes in a master-slave connection and implemented in a tree topology. Each sensor node is consisting of a sound sensor, vibration sensor, Xbee communication, current and voltage sensor, and Arduino nano. The system is tested using battery 10050 mAH with several scenarios to have calculated how long the battery lifetime can be predicted. The results stated that the master node on the network depleted the power of the battery faster than the slave node since the more slaves connected to the master, the more energy the battery consumes.

Engineering Cross-Layer Fault Tolerance in Many-Core Systems

SERENEWorkshop

FinalPresentation_FINALJames McKenna

Ieee vts talkozzie73

Poster Version 4Ahnaf Ahmed

Core Objective 1: Highlights from the Central Data Resource

Anubhav Jain

IEEE Presentation SDG&EBert Taube

What's hot

$Sierpinski carpet fractal monopole antenna for ultra-wideband applications$ $Sierpinski carpet fractal monopole antenna for ultra-wideband applications$

Sierpinski carpet fractal monopole antenna for ultra-wideband applications

IJECEIAES

Quantum computing and machine learning overview

Colleen Farrelly

Energy-Efficient Compressive Data Gathering Utilizing Virtual Multi-Input Mul...

TELKOMNIKA JOURNAL

JOINT VIRTUAL MIMO AND DATA GATHERING FOR WIRELESS SENSOR NETWORKS

I3E Technologies

Green communication

Srinivas Vasamsetti

Corona based energy efficient clustering in wsn 2IAEME Publication

Design and implementation of grid based clustering in WSN using dynamic sink ...

journalBEEI

UmtsAhmed Aam

Nirmal k. bose

Hoopeer Hoopeer

Aperture Coupled Microstrip Antennas with High Isolation for MIMO Systems

Conferenceproceedings

Communication Cost Reduction by Data Aggregation: A Survey

IJMTST Journal

Target Response Electrical usage Profile Clustering using Big Data

IRJET Journal

An Adaptive Cluster Based Routing Protocol for WSN

Eswar Publications

CV - Vinh PhamVinh Pham-Xuan

A Survey on Data Aggregation Cluster based Technique in Wireless Sensor Netwo...

IRJET Journal

WSN nodes power consumption using multihop routing protocol for illegal cutti...

TELKOMNIKA JOURNAL

Engineering Cross-Layer Fault Tolerance in Many-Core Systems

SERENEWorkshop

FinalPresentation_FINALJames McKenna

Ieee vts talkozzie73

Poster Version 4Ahnaf Ahmed

What's hot (20)

$Sierpinski carpet fractal monopole antenna for ultra-wideband applications$ $Sierpinski carpet fractal monopole antenna for ultra-wideband applications$

Sierpinski carpet fractal monopole antenna for ultra-wideband applications

Quantum computing and machine learning overview

Energy-Efficient Compressive Data Gathering Utilizing Virtual Multi-Input Mul...

JOINT VIRTUAL MIMO AND DATA GATHERING FOR WIRELESS SENSOR NETWORKS

Green communication

Corona based energy efficient clustering in wsn 2

Design and implementation of grid based clustering in WSN using dynamic sink ...

Umts

Nirmal k. bose

Aperture Coupled Microstrip Antennas with High Isolation for MIMO Systems

Communication Cost Reduction by Data Aggregation: A Survey

Target Response Electrical usage Profile Clustering using Big Data

An Adaptive Cluster Based Routing Protocol for WSN

CV - Vinh Pham

A Survey on Data Aggregation Cluster based Technique in Wireless Sensor Netwo...

WSN nodes power consumption using multihop routing protocol for illegal cutti...

Engineering Cross-Layer Fault Tolerance in Many-Core Systems

FinalPresentation_FINAL

Ieee vts talk

Poster Version 4

Similar to Real-World Energy Measurements of a Wireless Mesh Network

Core Objective 1: Highlights from the Central Data Resource

Anubhav Jain

IEEE Presentation SDG&EBert Taube

Sensor Networks – Introduction & Architectures by Mr.Darwin Nesakumar, AP/EC...

Darwin Nesakumar

Akansu master's project ws ns

Essentiality Check

Energy Consumption in chain based routing protocol in wireless sensor network

BADALKUMAR56

A laboratory scale IoT-based measuring of the solar photovoltaic parameters

International Journal of Reconfigurable and Embedded Systems

Harvesting solar energy as a renewable energy source has received significant attention through serious studies that could be applied massively. However, the nonlinear nature of photovoltaic (PV) concerning the surrounding environment, especially irradiation and temperature, affects the resulting output. Therefore, the correlation between environmental parameters and PV's energy needs to be studied. This paper presents a design for measuring solar PV parameters monitored on a laboratory scale. The monitoring is based on internet of things (IoT) technology analyzed in realtime. The system was tested in various weather conditions for 18 hours. The results obtained indicate that the output voltage was influenced by the lighting factor of the PV and the surrounding temperature.

Precision based data aggregation to extend life of wsn

Gaurang Rathod

The fast advancement of hardware technology has enabled the development of tiny and powerful sensor nodes, which are capable of sensing, computation and wireless communication. This revolutionizes the deployment of wireless sensor network for monitoring some area and collecting regarding information. However, limited energy constraint presents a major challenge such vision to become reality. Data communication between nodes consumes a large portion of the total energy consumption of the WSNs. Consequently, Wireless sensor nodes are very small in size and have limited processing capability with very low battery power. This restriction of low battery power makes the sensor network prone to failure. Data aggregation may be effective technique because it reduces the number of packets to be sent to sink by aggregating the similar packets. Data aggregation has been put forward as an essential technique to achieve power efficiency in sensor networks. The main goal of data aggregation is to gather and aggregate data in an energy efficient manner so that network lifetime is enhanced. The data aggregation technique of precision allocation helps to balance the energy consumption of network. By optimum precision allocation given to node, helps to control the frequency of communication between node and base station. This way, effectively it reduces less communication between sources and sink, which helps to reduce the energy consumption. In experiment work, assigning same precision, random precision and precision based on distance and residual energy of node to all nodes in network and summarize energy consumption of node. By periodically adjusting the precision of node extend the life time of network compared to without aggregation and random precision allocation method. This technique suits to problem of continues data measuring, like temperature, humidity, water level, etc.

S2-R2Broc Friend

Monitoring of Transmission and Distribution Grids using PMUs

Luigi Vanfretti

Optimized design of an extreme low power datalogger for photovoltaic panels

IJECEIAES

The paper focuses on the design and implementation of a low cost and compact data logger prototype using an extreme low power (XLP) and low pin count programmable interface controllers (PIC) microcontroller using its own flash memory for the periodic data acquisition storage, while many other works focus in the Arduino Eco-system. It is planned to pick four important analog measures from the photovoltaic system, and store them directly as 10-bit numerical counts, this yields to faster data acquisition and storage (no time consuming for mathematical computation to convert each numerical count of raw data to meaningful real-world data). Avoiding the use of any kind of display and keypad, and keeping the ratio run time over sleep time as low as possible, has a maximum impact on lowering the power consumption. This prototype can be serially linked to a personal computer (PC) to view the acquisition of measurements in real time, and to retrieve all collected data through a terminal application. The experimental results are stored in commaseparated values (CSV) files to ease post data analysis with any spread sheet software, for statistical calculations and graphs drawing, in order for instance, to find the faults of the photovoltaic system and optimize its management and its performance.

IRJET- Review: Different Techniques for ARC Flash and Fault Analysis and Clas...

IRJET Journal

Energy Efficient Wireless Internet Access

Scienzainrete

Global grid of master events for waveform cross correlation: design and testing

Ivan Kitov

Seismic monitoring of the Comprehensive Nuclear-Test-Ban Treaty requires a uniform coverage of the earth. The global use of waveform cross correlation for monitoring purposes is hindered by the absence of master events outside the zones of seismic activity. To populate the aseismic areas we have studied two principal approaches. Around the seismically active areas, we replicate real events best representing seismicity in a given region and distribute them over a regular grid to distances ~1000 km. These replicated events are called “grand masters”. For remote aseismic areas, we calculate synthetic seismograms for a regular grid of master events and a predefined set of array stations of the International Monitoring System. Both approaches were tested and showed a resolution similar to the use of real events. Considering three types of master events, we have created a regular and uniform grid with approximately 100 km spacing between nodes as obtained from the equilibrium distribution of charged particles over the earth’s surface. We have created three versions of the grid: v0.1 with only synthetic templates, v0.2 with real masters added where possible, and v0.3 with grand masters added. The performance of v0.1 has been assessed by full processing of a few data days. Key words: waveform cross correlation, master events, seismic monitoring, array seismology, IDC, CTBT

International Refereed Journal of Engineering and Science (IRJES)

irjes

Performance of waveform cross correlation using a global and regular grid of...

Mikhail Rozhkov

Seismic monitoring of the Comprehensive Nuclear-Test-Ban Treaty (CTBT) requires a uniform distribution of detection threshold over the earth. By design, the Primary Seismic Network of the International Monitoring System (IMS) provides an appropriate coverage. In order to effectively use the cross correlation technique and the archive waveforms from the International Data Centre (IDC) in global monitoring we have introduced a dense (spacing of ~ 140 km) and regular grid of master events with high quality templates at IMS array stations. In seismically active zones, we populated the grid with real masters. For aseismic zones, we developed an extended set of synthetic templates for virtual master events. This set includes a few simple double-couple source mechanisms in 1D and 2D velocity structures as well as explosion sources of varying size and at different depths of burial. All synthetics were first tested in seismic areas and showed the detection threshold similar to that demonstrated by real templates. We have designed three versions of the grid: V1.0 with only synthetic templates, V2.0 with real masters added where possible, and V3.0 with grand masters added. Their performance has been assessed by full processing of a few data days and a direct comparison with the Reviewed Event Bulletin issued by the IDC.

Performance of waveform cross correlation using a global and regular grid of ...

Ivan Kitov

Synthetics vs. real waveforms from underground nuclear explosions as master t...

Ivan Kitov

The cross-correlation (CC) and master event technique is efficient in Comprehensive Nuclear-Test Ban Treaty (CTBT) monitoring. Two primary goals of CTBT monitoring are detection and location of nuclear explosions. Therefore, the CC monitoring should be focused on finding such events. The use of physically adequate masters may increase the number of valid events in the Reviewed Event Bulletin (REB) of the International Data Centre by a factor of 2. Inadequate master events may increase the number of irrelevant events in REB and reduce the sensitivity of the CC technique to valid events. In order to cover the entire earth, including vast aseismic territories, with the CC based nuclear test monitoring we conducted a thorough research and defined the most appropriate real and synthetic master events representing underground explosion sources. A procedure was developed on optimizing the master event simulation based on principal component analysis with bootstrap aggregation as a dimension reduction technique narrowing the classes of CC templates used in detection and location process. Actual waveforms and metadata from the DTRA Verification Database were used to validate our approach. The detection and location results based on real and synthetic master events were compared.

Optimal Placement of Distributed Generation on Radial Distribution System for...

IJMER

International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education. International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.

Solar Power Bank with Wireless Charging

ijtsrd

This paper contains the information about the project named “Wireless Power Transmission”. It is the system for transmitting the electrical power from a transmitting source to load wirelessly using coils. In this project two coils are used, one on the transmitter side called as primary coil and another at the receiver side called as secondary coil. This project is not similar to the wireless signal transmission which is used in cell phones. In this method of transmission, power from electrical source is transmitted in the form of magnetic flux. In this project, the AC power is supplied to the transmitting circuit which converts the AC Power into magnetic flux using primary coil. When secondary coil interacts with this flux, an E.M.F. will be induced in the secondary coil. In this way, electrical power will be transmitted without using wires. Dr. B. Ram Babu | Miss. B. Sai Lakshmi Jahnavi | Miss. M. Kusuma | G. Manikanta | Mr. V. Tarun "Solar Power Bank with Wireless Charging" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-1 , February 2023, URL: https://www.ijtsrd.com/papers/ijtsrd53847.pdf Paper URL: https://www.ijtsrd.com/engineering/other/53847/solar-power-bank-with-wireless-charging/dr-b-ram-babu

A study on modelling and simulation of photovoltaic cellseSAT Publishing House

Similar to Real-World Energy Measurements of a Wireless Mesh Network (20)

Core Objective 1: Highlights from the Central Data Resource

IEEE Presentation SDG&E

Sensor Networks – Introduction & Architectures by Mr.Darwin Nesakumar, AP/EC...

Akansu master's project ws ns

Energy Consumption in chain based routing protocol in wireless sensor network

A laboratory scale IoT-based measuring of the solar photovoltaic parameters

Precision based data aggregation to extend life of wsn

S2-R2

Monitoring of Transmission and Distribution Grids using PMUs

Optimized design of an extreme low power datalogger for photovoltaic panels

IRJET- Review: Different Techniques for ARC Flash and Fault Analysis and Clas...

Energy Efficient Wireless Internet Access

Global grid of master events for waveform cross correlation: design and testing

International Refereed Journal of Engineering and Science (IRJES)

Performance of waveform cross correlation using a global and regular grid of...

Performance of waveform cross correlation using a global and regular grid of ...

Synthetics vs. real waveforms from underground nuclear explosions as master t...

Optimal Placement of Distributed Generation on Radial Distribution System for...

Solar Power Bank with Wireless Charging

A study on modelling and simulation of photovoltaic cells

Recently uploaded

PHP Frameworks: I want to break free (IPC Berlin 2024)

Ralf Eggert

In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development. This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.

Essentials of Automations: Optimizing FME Workflows with Parameters

Safe Software

Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place. Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects. Here’s what you’ll gain: - Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows. - Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy. - Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency. - Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity. We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic. Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.

UiPath Test Automation using UiPath Test Suite series, part 3

DianaGray10

Transcript: Selling digital books in 2024: Insights from industry leaders - T...

BookNet Canada

The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more. Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/ Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.

Connector Corner: Automate dynamic content and events by pushing a button

DianaGray10

Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to: Create a campaign using Mailchimp with merge tags/fields Send an interactive Slack channel message (using buttons) Have the message received by managers and peers along with a test email for review But there’s more: In a second workflow supporting the same use case, you’ll see: Your campaign sent to target colleagues for approval If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team But—if the “Reject” button is pushed, colleagues will be alerted via Slack message Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors. And... Speakers: Akshay Agnihotri, Product Manager Charlie Greenberg, Host

Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf

91mobiles

Bits & Pixels using AI for Good.........

Alison B. Lowndes

ODC, Data Fabric and Architecture User Group

CatarinaPereira64715

Designing Great Products: The Power of Design and Leadership by Chief Designe...

Product School

Search and Society: Reimagining Information Access for Radical Futures

Bhaskar Mitra

The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.

When stars align: studies in data quality, knowledge graphs, and machine lear...

Elena Simperl

FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf

FIDO Alliance

Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...

Product School

Mission to Decommission: Importance of Decommissioning Products to Increase E...

Product School

Neuro-symbolic is not enough, we need neuro-*semantic*

Frank van Harmelen

Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”. All of this illustrated with link prediction over knowledge graphs, but the argument is general.

From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...

Product School

FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf

FIDO Alliance

FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf

FIDO Alliance

Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...

Jeffrey Haguewood

Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows. We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases. This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams. Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.

GraphRAG is All You need? LLM & Knowledge Graph

Guy Korland

Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs. 1. Unifying Large Language Models and Knowledge Graphs: A Roadmap. https://arxiv.org/abs/2306.08302 2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs: https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/

Recently uploaded (20)

PHP Frameworks: I want to break free (IPC Berlin 2024)

Essentials of Automations: Optimizing FME Workflows with Parameters

UiPath Test Automation using UiPath Test Suite series, part 3

Transcript: Selling digital books in 2024: Insights from industry leaders - T...

Connector Corner: Automate dynamic content and events by pushing a button

Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf

Bits & Pixels using AI for Good.........

ODC, Data Fabric and Architecture User Group

Designing Great Products: The Power of Design and Leadership by Chief Designe...

Search and Society: Reimagining Information Access for Radical Futures

When stars align: studies in data quality, knowledge graphs, and machine lear...

FIDO Alliance Osaka Seminar: FIDO Security Aspects.pdf

Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...

Mission to Decommission: Importance of Decommissioning Products to Increase E...

Neuro-symbolic is not enough, we need neuro-*semantic*

From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...

FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf

FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf

Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...

GraphRAG is All You need? LLM & Knowledge Graph

Real-World Energy Measurements of a Wireless Mesh Network

1. Energy Efficiency in Large Scale Distributed Systems Real-World Energy Measurements of a Wireless Mesh Network A. Jamakovic, D. Dimitrova, M. Anwander, T. Macicas, T. Braun, J. Schwanbek, Th. Staub, B. Nyffenegger Universität Bern, Switzerland braun@iam.unibe.ch, cds.unibe.ch

2. Overview > Introduction — Environmental Monitoring Area — Wireless Mesh Network Topology at Rhone Valley — Environmental Monitoring Scenarios > Solar-Powered Wireless Mesh Nodes — Solar-Powered Wireless Mesh Node Hardware and Software — Solar Energy Harvesting > Energy Harvesting and Consumption Measurement Scenario > Measurement Results — Daily/Weekly Battery and Solar Panel Voltage Measurements — Relationship of Battery and Solar Panel Voltage — Battery Load and Mesh Node Consumption — Solar Panel / Mesh Node Voltage and Battery / Mesh Node Current > Conclusions and Outlook EE-LSDS, Vienna, April 24, 2013 Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network 2

3. Environmental Monitoring Area Sion Sierre Tseuzier storage lake Plaine Morte glacier EE-LSDS, Vienna, April 24, 2013 3 Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network

4. Wireless Mesh Network Topology at Rhone Valley Sion Sierre EE-LSDS, Vienna, April 24, 2013 4 Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network

5. Environmental Monitoring Scenarios EE-LSDS, Vienna, April 24, 2013 Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network 5

6. Solar-Powered Wireless Mesh Nodes EE-LSDS, Vienna, April 24, 2013 6 Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network

7. Wireless Mesh Node Hardware and Software > IP66 steel enclosure > 1-2x Alix 3D2 system boards > 1x Alix 6F2 system board > 1-4x 801.11n mini PCI cards > 1x 801.11g mini PCI card > 1x UMTS mini PCI-Express card > I2C twin relay > 2x2 MIMO, 25dBi, dual polarization panel antennas for 5.8 Ghz > ADAM Linux running Optimized Link State Routing EE-LSDS, Vienna, April 24, 2013 Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network 7

8. Solar Energy Harvesting > 90 Watt solar panels, voltage: 18.75 V > Panels supply lead acid battery (78 Ah) and wireless mesh node EE-LSDS, Vienna, April 24, 2013 Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network 8

9. Energy Harvesting and Consumption Measurement Scenario > Energy measurements by charge controller — in winter (nodes 3, 7) — In summer (nodes 7, 8) EE-LSDS, Vienna, April 24, 2013 Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network 9

10. Voltage Measurements During a Summer Day EE-LSDS, Vienna, April 24, 2013 Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network 10

11. Voltage Measurements During a Winter Day EE-LSDS, Vienna, April 24, 2013 Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network 11

12. Voltage Measurements During a Summer Week EE-LSDS, Vienna, April 24, 2013 Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network 12

13. Relationship of Battery and Solar Panel Voltage During Summer EE-LSDS, Vienna, April 24, 2013 Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network 13

14. Relationship of Battery and Solar Panel Voltage During Winter EE-LSDS, Vienna, April 24, 2013 Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network 14

15. Battery Load and Mesh Node Consumption During Summer EE-LSDS, Vienna, April 24, 2013 Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network 15

16. Battery Load and Mesh Node Consumption During Winter EE-LSDS, Vienna, April 24, 2013 Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network 16

17. Solar Panel / Mesh Node Voltage and Battery / Mesh Node Current EE-LSDS, Vienna, April 24, 2013 Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network 17

18. Conclusions and Outlook > Energy harvesting and consumption data in a real wireless mesh deployment > Results show good combination of battery and solar panel. > Energy supply has been sufficient in our challenging deployment. > Certain nodes need more energy, data are valuable for solar panel dimensioning > Possible control of mesh node based on available energy and weather prediction ? EE-LSDS, Vienna, April 24, 2013 Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network 18

19. Thanks for your Attention > More information — cds.unibe.ch and a4-mesh.unibe.ch — slideshare.net/torstenbraun — braun@iam.unibe.ch Torsten Braun: Real-World Energy Measurements of a Wireless Mesh Network EE-LSDS, Vienna, April 24, 2013 19

Editor's Notes

location of area under investigation south faced hill-slope of Bernese Alps between Sion and Sierre

Real-World Energy Measurements of a Wireless Mesh Network

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Similar to Real-World Energy Measurements of a Wireless Mesh Network

Similar to Real-World Energy Measurements of a Wireless Mesh Network (20)

More from Torsten Braun, Universität Bern

More from Torsten Braun, Universität Bern (20)

Recently uploaded

Recently uploaded (20)

Real-World Energy Measurements of a Wireless Mesh Network

Editor's Notes