The document describes the Virtual Classroom project, which aims to create a wireless internet network to allow remote participation in experiments. A prototype is being developed at SJSU using equipment like wireless networks, video servers, and mobile carts with cameras. The network would allow students to observe experiments like satellite launches from anywhere via video/audio feeds, telemetry data, and chat services. The first application will be supporting the ARLISS 2008 student satellite program by providing live coverage of rocket launches at Black Rock Desert, Nevada.
The Missing Link: Dedicated End-to-End 10Gbps Optical Lightpaths for Clusters...Larry Smarr
11.05.24
Invited Keynote Presentation
11th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing
Title: The Missing Link: Dedicated End-to-End 10Gbps Optical Lightpaths for Clusters, Grids, and Clouds
Newport Beach, CA
Performance analysis of bio-Signal processing in ocean Environment using soft...IJECEIAES
Wireless communication has become an essential technology in our day-to-day life both in air and water medium. To monitor the health parameter of human begins, advancement techniques like internet of things is evolved. But to analyze underwater living organisms health parameters, researchers finding difficulties to do so. The reason behind is underwater channels has drawbacks like signal degradation due to multipath propagation, severe ambient noise and Attenuation by bottom and surface loss. In this paper Artificial Neural Networks (ANN) is used to perform data transfer in water medium. A sample EEG signal is generated and trained with 2 and 20 hidden layers. Simulation result showed that error free communication is achieved with 20 hidden layers at 10th iteration. The proposed algorithm is validated using a real time watermark toolbox. Two different modulation scheme was applied along with ANN. In the first scenario, the EEG signal is modulated using convolution code and decoded by Viterbi Algorithm. Multiplexing technique is applied in the second scenario. It is observed that energy level in the order of 40 dB is required for least error rate. It is also evident from simulation result that maximum of 5% CP can be maintained to attain the least Mean Square Error.
This thesis examines spectrum sensing techniques for cognitive radios. It provides background on cognitive radios and their role in more efficiently utilizing allocated spectrum bands. The thesis describes challenges for spectrum sensing, such as multipath fading and shadowing. It then analyzes several key spectrum sensing techniques, including matched filter detection, and discusses cooperative spectrum sensing where multiple cognitive radios collaborate to detect spectrum holes. The goal is to thoroughly study approaches for cognitive radios to reliably sense spectrum usage without interfering with licensed users.
The mobile computing lab is led by Professor Li-Chun Wang whose research interests include 5G wireless communications, data-driven learning for radio resource management, and big data analytics for industrial IoT. The lab has partnerships with IBM Watson for stream computing education and research and has received funding from IBM to support an openflow-based datacenter testbed with servers, switches and controllers donated by Extreme Networks. The lab is currently working on several projects applying AI techniques to problems in drone communications networks, industrial IoT latency and reliability, and predictive maintenance for numerical control machines.
Agent based Video Fusion in Wireless Multimedia Sensor NetworksRSIS International
Wireless Sensor Networks (WSN) has several
limitations, which may not support information communication
because of energy constraints. Information sensed by the sensor
nodes in WSN is scalar, which can’t be used in some of the
applications involving video surveillance like traffic monitoring,
defense applications, seashore monitoring, etc. To overcome
these limitations, Wireless Multimedia Sensor Networks
(WMSN) which consists of video sensors can be used for such
applications. As WMSN supports sensing of videos, the amount
of data to be transmitted wirelessly in multihop communication
raises a challenge. To overcome this issue, this paper proposes an
agent based video fusion in Wireless Multimedia Sensor
Networks. The video sensors transmit sensed videos to the
respective cluster head node. Cluster head node exploits the
spatial and temporal redundancy using multi sensor video fusion
using wavelet transform. Fused video is in turn transmitted to
sink node using multi-hop communication. To evaluate the
performance of the proposed scheme, this work is simulated
using MATLAB.
The independent study on how Cloud Computing can be used to introduce a new Next Generation Sequencing method in terms of better understanding of the limitations of existing Next Generation Sequencing Methods.
Torsten Braun presented on developing and evaluating energy-efficient and adaptive protocols for wireless sensor networks. He discussed wireless sensor network applications like environmental and building monitoring. Key application requirements include energy efficiency, low delays, reliability, and adaptivity. He described designing, implementing, and evaluating WSN protocols through simulations and experiments on a wireless sensor network testbed called WISEBED, which is a pan-European federation of over 1000 sensor nodes across 9 testbeds. The testbed infrastructure includes sensor nodes, backbones to connect to a portal, and a portal that acts as a gateway between the internet and the wireless sensor network.
The Missing Link: Dedicated End-to-End 10Gbps Optical Lightpaths for Clusters...Larry Smarr
11.05.24
Invited Keynote Presentation
11th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing
Title: The Missing Link: Dedicated End-to-End 10Gbps Optical Lightpaths for Clusters, Grids, and Clouds
Newport Beach, CA
Performance analysis of bio-Signal processing in ocean Environment using soft...IJECEIAES
Wireless communication has become an essential technology in our day-to-day life both in air and water medium. To monitor the health parameter of human begins, advancement techniques like internet of things is evolved. But to analyze underwater living organisms health parameters, researchers finding difficulties to do so. The reason behind is underwater channels has drawbacks like signal degradation due to multipath propagation, severe ambient noise and Attenuation by bottom and surface loss. In this paper Artificial Neural Networks (ANN) is used to perform data transfer in water medium. A sample EEG signal is generated and trained with 2 and 20 hidden layers. Simulation result showed that error free communication is achieved with 20 hidden layers at 10th iteration. The proposed algorithm is validated using a real time watermark toolbox. Two different modulation scheme was applied along with ANN. In the first scenario, the EEG signal is modulated using convolution code and decoded by Viterbi Algorithm. Multiplexing technique is applied in the second scenario. It is observed that energy level in the order of 40 dB is required for least error rate. It is also evident from simulation result that maximum of 5% CP can be maintained to attain the least Mean Square Error.
This thesis examines spectrum sensing techniques for cognitive radios. It provides background on cognitive radios and their role in more efficiently utilizing allocated spectrum bands. The thesis describes challenges for spectrum sensing, such as multipath fading and shadowing. It then analyzes several key spectrum sensing techniques, including matched filter detection, and discusses cooperative spectrum sensing where multiple cognitive radios collaborate to detect spectrum holes. The goal is to thoroughly study approaches for cognitive radios to reliably sense spectrum usage without interfering with licensed users.
The mobile computing lab is led by Professor Li-Chun Wang whose research interests include 5G wireless communications, data-driven learning for radio resource management, and big data analytics for industrial IoT. The lab has partnerships with IBM Watson for stream computing education and research and has received funding from IBM to support an openflow-based datacenter testbed with servers, switches and controllers donated by Extreme Networks. The lab is currently working on several projects applying AI techniques to problems in drone communications networks, industrial IoT latency and reliability, and predictive maintenance for numerical control machines.
Agent based Video Fusion in Wireless Multimedia Sensor NetworksRSIS International
Wireless Sensor Networks (WSN) has several
limitations, which may not support information communication
because of energy constraints. Information sensed by the sensor
nodes in WSN is scalar, which can’t be used in some of the
applications involving video surveillance like traffic monitoring,
defense applications, seashore monitoring, etc. To overcome
these limitations, Wireless Multimedia Sensor Networks
(WMSN) which consists of video sensors can be used for such
applications. As WMSN supports sensing of videos, the amount
of data to be transmitted wirelessly in multihop communication
raises a challenge. To overcome this issue, this paper proposes an
agent based video fusion in Wireless Multimedia Sensor
Networks. The video sensors transmit sensed videos to the
respective cluster head node. Cluster head node exploits the
spatial and temporal redundancy using multi sensor video fusion
using wavelet transform. Fused video is in turn transmitted to
sink node using multi-hop communication. To evaluate the
performance of the proposed scheme, this work is simulated
using MATLAB.
The independent study on how Cloud Computing can be used to introduce a new Next Generation Sequencing method in terms of better understanding of the limitations of existing Next Generation Sequencing Methods.
Torsten Braun presented on developing and evaluating energy-efficient and adaptive protocols for wireless sensor networks. He discussed wireless sensor network applications like environmental and building monitoring. Key application requirements include energy efficiency, low delays, reliability, and adaptivity. He described designing, implementing, and evaluating WSN protocols through simulations and experiments on a wireless sensor network testbed called WISEBED, which is a pan-European federation of over 1000 sensor nodes across 9 testbeds. The testbed infrastructure includes sensor nodes, backbones to connect to a portal, and a portal that acts as a gateway between the internet and the wireless sensor network.
This document presents a study on high speed data transmission of images over the visible light spectrum using a PIC microcontroller. It discusses how visible light communication (VLC) provides higher bandwidth than wireless fidelity (Wi-Fi) as the visible light spectrum is much wider than the microwave spectrum used for Wi-Fi. The study involves designing a transmitter and receiver system to send sensor data as images using light as the transmission medium. The system is implemented using a microcontroller to convert electrical signals to light signals and vice versa using a light emitting diode and photodiode. It is expected to provide secure transmission of data through light between dedicated nodes without human interference for applications like smart lighting and the internet of things.
The document presents a testing framework for wireless networks. It introduces a calculus to model wireless networks and defines a labelled transition semantics. An example network is presented to illustrate how messages are broadcast and processed by different nodes in the network. The outline indicates the document will discuss testing frameworks, proof techniques, and applications for analyzing wireless networks.
Three advantages of a relational database include maintaining data integrity through validation rules, reducing data duplication and redundancy, and better security management. Relational databases also provide program-data independence and allow queries and reports to be produced easily. Data inconsistency can occur when copies of a data item appear in different tables but are not consistent, and data duplication occurs when the same data is unnecessarily repeated in multiple tables.
This document provides a summary of a research article that conducted a survey of indoor positioning and navigation systems and technologies. It discusses how positioning and navigation technologies developed first for outdoor use but researchers have attempted to implement them indoors with varying levels of success. It outlines several technologies used for indoor positioning including infrared, ultrasound, radio frequency, and pedestrian dead reckoning. It also discusses positioning techniques like time of arrival, received signal strength indication, and fingerprinting. The survey analyzed accuracy, complexity, cost and other metrics of different positioning technologies. It concluded that the study has implications for future research on indoor positioning and navigation systems.
The document summarizes the research activities of the Mobile Computing Lab led by Professor Li-Chun Wang. The lab focuses on 5G wireless communications, data-driven radio resource management, and big data analytics for industrial IoT. It has partnerships with IBM Watson for stream computing education and has received research funding from various sources. Several ongoing research projects are described, focusing on intelligent communications for drone-assisted cellular networks and latency-aware solutions for industrial IoT and VR applications.
This document summarizes a research paper presented at the National Conference on Current Trends in Computer Science and Engineering. The paper proposes a Sink-initiated Geographic Multicast (SIGM) protocol for wireless sensor networks that allows mobile sinks to construct their own data delivery paths from a source node and merge these paths to form a multicast tree. This reduces location updates and achieves fast multicast tree construction and data delivery. The paper also presents a round-based virtual infrastructure to further improve the SIGM protocol's energy efficiency and ability to handle sink mobility. Simulation results show SIGM outperforms other source-initiated multicast protocols in terms of energy consumption and data delivery latency.
The Brussels Wind Energy Research Institute (BruWind) aims to consolidate wind energy research across several institutions in Brussels. It seeks to centralize knowledge, share expertise, increase visibility, and participate in European networks through a collaborative research program covering various aspects of modern wind turbine technology. The institute brings together research groups studying topics like power systems, operation and maintenance, noise and vibrations, materials testing, optical sensors, and corrosion management.
SR-Code: Smart Relay Network Coding for Data Collection for Wireless Sensor N...IJERA Editor
Reliability in data collection for wireless sensor networks is one of the major problems in IoT applications. Sensor nodes are usually placed in harsh conditions where data communication is at risk of losing packets. Retransmissions are considered costly in terms of delay and power consumptions, especially that wireless sensor nodes are battery operated. In this context we introduce SR-Code, a novel network coding algorithm that achieves reliability in harsh conditions. SR-Code utilizes the XOR operator to code overheard packets. The targeted network topology is a 2-tier network where data loss can occur in all tiers. SR-Code utilizes bit addresses where each node is identified by a single bit in an address bit vector. Identifying packets and computing the cardinality of coded messages can be easily done using address bit vectors. SR-Code realizes redundancy as a function of overheard packet. SR-Code achieved a reliability factor of 75% when the number of packets lost was 100% of the original (un-coded) packet sent.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
This document summarizes a research paper that proposes using sink mobility to maximize the lifetime of wireless sensor networks. The paper introduces wireless sensor networks and describes the existing problem of energy-inefficient routing. It then proposes a solution that involves moving the sink node to different locations to reduce energy consumption. The framework creates alternative paths using AODV routing when nodes have low energy. Results show improved network lifetime, packet delivery ratio, and lower bit error rate compared to stationary sink approaches. Future work may extend the approach to networks with moving sensor nodes.
The document summarizes a study on using Wi-Fi signals for indoor location fingerprinting. It discusses how fingerprinting involves two phases: a calibration phase where signal strength is recorded at calibration points, and a location estimation phase where current signal strength is compared to the fingerprint map. It evaluates the k-nearest neighbor algorithm using Euclidean, Manhattan, and Chebychev distances to estimate location. Tests of this approach involved collecting Wi-Fi signal data at calibration points in four rooms and a hall to generate a fingerprint map for location estimation. The accuracy of Euclidean and Manhattan distances was found to be better than Chebychev distance for this location fingerprinting method.
1) The document discusses smart antennas for WiMAX radio systems. Smart antennas can sense their environment and adjust their gain in different directions, increasing traffic capacity and quality of service.
2) Two main types of smart antenna configurations are discussed: switched beam arrays and adaptive arrays. Switched beam arrays form fixed beams toward different directions, while adaptive arrays use signal processing to dynamically steer beams toward desired users and place nulls toward interferers.
3) The MUSIC algorithm for direction of arrival estimation is described. MUSIC exploits the noise eigenvector subspace to provide unbiased estimates of the number and angles of incoming signals. It assumes uncorrelated noise and may be used to estimate directions of arrival to implement adaptive
The document discusses performance evaluation of local and cooperative spectrum sensing techniques in cognitive radio. It implements energy detection, one-order and two-order cyclostationary feature detection as local spectrum sensing techniques. It also implements cooperative spectrum sensing using an energy detector across multiple cognitive radios. Further, it presents a software-defined approach to dynamic spectrum management and sharing between primary and secondary users. Simulation results demonstrating the receiver operating characteristics of the techniques are also included.
Jacques Magen - Future Internet Research and Experimentation (FIRE): Successf...FIA2010
FIRE is a European initiative to support experimentally-driven research for future internet technologies through large-scale experimental facilities. It has two dimensions: long-term visionary research and building testbeds to support both medium and long term research. Existing FIRE facilities have been used for experiments in areas like overlay routing, cognitive radio, open flow, IMS, services on clouds and grids, and the internet of things. New FIRE facilities provide unique opportunities for experiments involving dynamic service orchestration, wireless sensor networks, and software-defined networking.
Virtualizing testbed resources to enable remote experimentation in online tel...FORGE project
EDUCON'15 Conference: In this paper we present an approach towards empowering online telecommunications engineering education by enabling hands-on remote experimentation over Trinity College Dublin's wireless testbed. Moreover, in order to offer a flexible testbed, capable of fulfilling the different and particular requirements of experimenters, we have created a framework that allows the virtualization of our testbed resources to create experimentation units to be used by remote experimenters/learners. Furthermore, we present the FORGEBox framework that offers an environment and resources to create online material capable to access the virtualized and physical testbed resources for incorporating experimentation into HTML-based online educational material.
The document discusses advanced networking capabilities and applications for research and education both currently and in the future. Today, networks provide megabit bandwidth and IP services focused on campuses, while coordination across networks is loose. Tomorrow, gigabit bandwidth, IP and dynamic circuit services will have inter-domain middleware and high coordination across networks. Today's applications include videoconferencing and sharing small data sets, while remote instruments have limited access. Future applications will support uncompressed HD video, sharing terabyte data sets globally, and routine access to remote instruments. A variety of research applications are discussed that benefit from high-speed networks including distributed computing, telemedicine, astronomy, and tele-immersion.
A Wireless Communications Laboratory On Cellular Network PlanningRick Vogel
This document describes a wireless communications laboratory course developed at the American University of Beirut that covers radio network planning and optimization for cellular networks. The course consists of 10 experiments that cover planning for GSM, UMTS, and WiMAX networks using real-world software tools and scenarios. The experiments are designed to provide students hands-on experience with network planning tools and enhance their understanding of wireless technologies and analytical skills beyond what is taught in traditional lecture-based courses. Assessment found that the lab course strengthened students' knowledge and practical experience with modern cellular network planning.
PROnet is an NSF-supported research project being conducted by researchers at the University of Texas at Dallas. PROnet is dedicated to enabling the design, development, demonstration and deployment of innovative ultrahigh-speed low-latency applications being created in and across North Texas and beyond.
This document discusses WiFi networks for high school classrooms. It begins by explaining what WiFi is and how it works to connect wireless devices to the internet through access points. It then discusses the benefits of implementing a WiFi network in a high school, such as enabling data sharing, internet access for research, and use of educational tools. The document outlines 8 steps for integrating a WiFi network, including identifying users, defining coverage areas, planning network layout and installing access points. Potential problems that could arise are also addressed, such as ensuring adequate coverage, capacity and security of the network.
This document presents a study on high speed data transmission of images over the visible light spectrum using a PIC microcontroller. It discusses how visible light communication (VLC) provides higher bandwidth than wireless fidelity (Wi-Fi) as the visible light spectrum is much wider than the microwave spectrum used for Wi-Fi. The study involves designing a transmitter and receiver system to send sensor data as images using light as the transmission medium. The system is implemented using a microcontroller to convert electrical signals to light signals and vice versa using a light emitting diode and photodiode. It is expected to provide secure transmission of data through light between dedicated nodes without human interference for applications like smart lighting and the internet of things.
The document presents a testing framework for wireless networks. It introduces a calculus to model wireless networks and defines a labelled transition semantics. An example network is presented to illustrate how messages are broadcast and processed by different nodes in the network. The outline indicates the document will discuss testing frameworks, proof techniques, and applications for analyzing wireless networks.
Three advantages of a relational database include maintaining data integrity through validation rules, reducing data duplication and redundancy, and better security management. Relational databases also provide program-data independence and allow queries and reports to be produced easily. Data inconsistency can occur when copies of a data item appear in different tables but are not consistent, and data duplication occurs when the same data is unnecessarily repeated in multiple tables.
This document provides a summary of a research article that conducted a survey of indoor positioning and navigation systems and technologies. It discusses how positioning and navigation technologies developed first for outdoor use but researchers have attempted to implement them indoors with varying levels of success. It outlines several technologies used for indoor positioning including infrared, ultrasound, radio frequency, and pedestrian dead reckoning. It also discusses positioning techniques like time of arrival, received signal strength indication, and fingerprinting. The survey analyzed accuracy, complexity, cost and other metrics of different positioning technologies. It concluded that the study has implications for future research on indoor positioning and navigation systems.
The document summarizes the research activities of the Mobile Computing Lab led by Professor Li-Chun Wang. The lab focuses on 5G wireless communications, data-driven radio resource management, and big data analytics for industrial IoT. It has partnerships with IBM Watson for stream computing education and has received research funding from various sources. Several ongoing research projects are described, focusing on intelligent communications for drone-assisted cellular networks and latency-aware solutions for industrial IoT and VR applications.
This document summarizes a research paper presented at the National Conference on Current Trends in Computer Science and Engineering. The paper proposes a Sink-initiated Geographic Multicast (SIGM) protocol for wireless sensor networks that allows mobile sinks to construct their own data delivery paths from a source node and merge these paths to form a multicast tree. This reduces location updates and achieves fast multicast tree construction and data delivery. The paper also presents a round-based virtual infrastructure to further improve the SIGM protocol's energy efficiency and ability to handle sink mobility. Simulation results show SIGM outperforms other source-initiated multicast protocols in terms of energy consumption and data delivery latency.
The Brussels Wind Energy Research Institute (BruWind) aims to consolidate wind energy research across several institutions in Brussels. It seeks to centralize knowledge, share expertise, increase visibility, and participate in European networks through a collaborative research program covering various aspects of modern wind turbine technology. The institute brings together research groups studying topics like power systems, operation and maintenance, noise and vibrations, materials testing, optical sensors, and corrosion management.
SR-Code: Smart Relay Network Coding for Data Collection for Wireless Sensor N...IJERA Editor
Reliability in data collection for wireless sensor networks is one of the major problems in IoT applications. Sensor nodes are usually placed in harsh conditions where data communication is at risk of losing packets. Retransmissions are considered costly in terms of delay and power consumptions, especially that wireless sensor nodes are battery operated. In this context we introduce SR-Code, a novel network coding algorithm that achieves reliability in harsh conditions. SR-Code utilizes the XOR operator to code overheard packets. The targeted network topology is a 2-tier network where data loss can occur in all tiers. SR-Code utilizes bit addresses where each node is identified by a single bit in an address bit vector. Identifying packets and computing the cardinality of coded messages can be easily done using address bit vectors. SR-Code realizes redundancy as a function of overheard packet. SR-Code achieved a reliability factor of 75% when the number of packets lost was 100% of the original (un-coded) packet sent.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
This document summarizes a research paper that proposes using sink mobility to maximize the lifetime of wireless sensor networks. The paper introduces wireless sensor networks and describes the existing problem of energy-inefficient routing. It then proposes a solution that involves moving the sink node to different locations to reduce energy consumption. The framework creates alternative paths using AODV routing when nodes have low energy. Results show improved network lifetime, packet delivery ratio, and lower bit error rate compared to stationary sink approaches. Future work may extend the approach to networks with moving sensor nodes.
The document summarizes a study on using Wi-Fi signals for indoor location fingerprinting. It discusses how fingerprinting involves two phases: a calibration phase where signal strength is recorded at calibration points, and a location estimation phase where current signal strength is compared to the fingerprint map. It evaluates the k-nearest neighbor algorithm using Euclidean, Manhattan, and Chebychev distances to estimate location. Tests of this approach involved collecting Wi-Fi signal data at calibration points in four rooms and a hall to generate a fingerprint map for location estimation. The accuracy of Euclidean and Manhattan distances was found to be better than Chebychev distance for this location fingerprinting method.
1) The document discusses smart antennas for WiMAX radio systems. Smart antennas can sense their environment and adjust their gain in different directions, increasing traffic capacity and quality of service.
2) Two main types of smart antenna configurations are discussed: switched beam arrays and adaptive arrays. Switched beam arrays form fixed beams toward different directions, while adaptive arrays use signal processing to dynamically steer beams toward desired users and place nulls toward interferers.
3) The MUSIC algorithm for direction of arrival estimation is described. MUSIC exploits the noise eigenvector subspace to provide unbiased estimates of the number and angles of incoming signals. It assumes uncorrelated noise and may be used to estimate directions of arrival to implement adaptive
The document discusses performance evaluation of local and cooperative spectrum sensing techniques in cognitive radio. It implements energy detection, one-order and two-order cyclostationary feature detection as local spectrum sensing techniques. It also implements cooperative spectrum sensing using an energy detector across multiple cognitive radios. Further, it presents a software-defined approach to dynamic spectrum management and sharing between primary and secondary users. Simulation results demonstrating the receiver operating characteristics of the techniques are also included.
Jacques Magen - Future Internet Research and Experimentation (FIRE): Successf...FIA2010
FIRE is a European initiative to support experimentally-driven research for future internet technologies through large-scale experimental facilities. It has two dimensions: long-term visionary research and building testbeds to support both medium and long term research. Existing FIRE facilities have been used for experiments in areas like overlay routing, cognitive radio, open flow, IMS, services on clouds and grids, and the internet of things. New FIRE facilities provide unique opportunities for experiments involving dynamic service orchestration, wireless sensor networks, and software-defined networking.
Virtualizing testbed resources to enable remote experimentation in online tel...FORGE project
EDUCON'15 Conference: In this paper we present an approach towards empowering online telecommunications engineering education by enabling hands-on remote experimentation over Trinity College Dublin's wireless testbed. Moreover, in order to offer a flexible testbed, capable of fulfilling the different and particular requirements of experimenters, we have created a framework that allows the virtualization of our testbed resources to create experimentation units to be used by remote experimenters/learners. Furthermore, we present the FORGEBox framework that offers an environment and resources to create online material capable to access the virtualized and physical testbed resources for incorporating experimentation into HTML-based online educational material.
The document discusses advanced networking capabilities and applications for research and education both currently and in the future. Today, networks provide megabit bandwidth and IP services focused on campuses, while coordination across networks is loose. Tomorrow, gigabit bandwidth, IP and dynamic circuit services will have inter-domain middleware and high coordination across networks. Today's applications include videoconferencing and sharing small data sets, while remote instruments have limited access. Future applications will support uncompressed HD video, sharing terabyte data sets globally, and routine access to remote instruments. A variety of research applications are discussed that benefit from high-speed networks including distributed computing, telemedicine, astronomy, and tele-immersion.
A Wireless Communications Laboratory On Cellular Network PlanningRick Vogel
This document describes a wireless communications laboratory course developed at the American University of Beirut that covers radio network planning and optimization for cellular networks. The course consists of 10 experiments that cover planning for GSM, UMTS, and WiMAX networks using real-world software tools and scenarios. The experiments are designed to provide students hands-on experience with network planning tools and enhance their understanding of wireless technologies and analytical skills beyond what is taught in traditional lecture-based courses. Assessment found that the lab course strengthened students' knowledge and practical experience with modern cellular network planning.
PROnet is an NSF-supported research project being conducted by researchers at the University of Texas at Dallas. PROnet is dedicated to enabling the design, development, demonstration and deployment of innovative ultrahigh-speed low-latency applications being created in and across North Texas and beyond.
This document discusses WiFi networks for high school classrooms. It begins by explaining what WiFi is and how it works to connect wireless devices to the internet through access points. It then discusses the benefits of implementing a WiFi network in a high school, such as enabling data sharing, internet access for research, and use of educational tools. The document outlines 8 steps for integrating a WiFi network, including identifying users, defining coverage areas, planning network layout and installing access points. Potential problems that could arise are also addressed, such as ensuring adequate coverage, capacity and security of the network.
Experimental analysis of channel interference in ad hoc networkijcsa
In recent times, the use of ad hoc networks is a common research area among a researcher. Designing an
efficient and reliable network is not easy task. Network engineer faces many problems at the time of
deploying a network such as interference; Signal coverage, proper location of access point etc. channel
interference in one of them which must be considered at the time of deploying WLAN indoor environments
because channel interference impacts the network throughput and degrade the network performance.
In this experiment, we design a two WLAN BSS1 and BSS2 and investigate the impact of interference on
nodes. BSS1 contains three FTP clients and BSS2 contains two FTP client and their jobs is to upload data
to FTP Server Initially, they are far from each other. BSS1 moves toward BSS2 and after some time at
particular position both BSSs overlaps to each other. When BSSs overlaps to each other interference is
high and decrease network performance and increase upload time.
Developing Web-based Interactive Teaching System for Core Network Technology ...drboon
This paper presents an in-house created software application that emulates and virtualizes computer networking laboratory hardware and proprietary equipment on PCs and servers. A user friendly remote laboratory manage system is developed using .NET technology. Through the presented lab management system, the students are able to conduct more than 200 lab assignments covering 10 courses from both lower level routing and switching classes to upper level network management and security classes that demand a large amount of physical equipment and a great number of student lab contact hours prior to the emulated lab. This emulation solution eliminates our dependencies on expensive proprietary networking equipment. It also reduces the burden of system administration. This remote lab has been used and tested in three networking courses. The feedbacks show that the lab delivers similar or better lab experiences for the DE students while the lab construction and maintenance cost is reduced to the minimum.
This document discusses the testing and evaluation of a video transmission system using a wireless local area network (WLAN) access point for instructional video broadcasting at a university. The system was built using a computer server to store and transmit instructional videos to clients via a WLAN access point. Tests were conducted to analyze network performance parameters like throughput, packet loss, and delay. Results showed the system could successfully broadcast videos from the server to clients in different quality settings over the university's 100 Mbps local network via the access point. This research aims to understand how to implement a wireless network using an access point for instructional video broadcasting in a university setting.
A comparative study of different network simulation tools and experimentation...journalBEEI
Study of computer networks and their performance parameters like delay, bandwidth utilization, throughput, latency, jittering, and packet loss. have gained significant importance in the recent times. Simulation studies have been preferred for these parameters in computer networks, which in a real time is a difficult task. A network consists of many networking devices as gateways, routers, bridges, wireless access points and hub connected to it. To implement any new protocol or algorithm in a network is costlier and time consuming. Recently lot of research is going on underwater wireless sensor networks (UWSNs). Conducting real time experiments for underwater applications are overpriced, so as an alternative solution for this, we can conduct simulation studies to reduce the cost and quicken the research activities.In this paper we explore the different experimentation platforms and simulation tools available that help the network architects to develop new protocols or do changes to the existing protocol in a productive manner. We classify the tools based on various parameters and provide guidelines for researchers to choose a suitable platform based on their requirements.
OptIPuter-A High Performance SOA LambdaGrid Enabling Scientific ApplicationsLarry Smarr
07.03.21
IEEE Computer Society Tsutomu Kanai Award Keynote
At the Joint Meeting of the: 8th International Symposium on Autonomous Decentralized Systems
2nd International Workshop on Ad Hoc, Sensor and P2P Networks
11th IEEE International Workshop on Future Trends of Distributed Computing Systems
Title: OptIPuter-A High Performance SOA LambdaGrid Enabling Scientific Applications
Sedona, AZ
The Pacific Research Platform: a Science-Driven Big-Data Freeway SystemLarry Smarr
The Pacific Research Platform (PRP) is a multi-institutional partnership that establishes a high-capacity "big data freeway system" spanning the University of California campuses and other research universities in California to facilitate rapid data access and sharing between researchers and institutions. Fifteen multi-campus application teams in fields like particle physics, astronomy, earth sciences, biomedicine, and visualization drive the technical design of the PRP over five years. The goal of the PRP is to extend campus "Science DMZ" networks to allow high-speed data movement between research labs, supercomputer centers, and data repositories across campus, regional
AARNet services including specific Applications & ServicesJames Sankar
The document summarizes an Australian Business & IT Expo on emerging information and communication technologies. It discusses:
1. James Sankar's presentation on AARNet's domestic and international network footprint and growth in IP video traffic.
2. Technologies like room-based video conferencing, telepresence for high-level meetings and research/education, and personal video services that are driving collaboration.
3. The need for scalable video platforms to manage multiple video platforms and growth in usage and services.
The document discusses Internet2 (I2), a consortium working to develop and deploy advanced network technologies to create a next-generation Internet. It provides details on I2's goals, core technologies like IPv6 and multicast, and applications including telemedicine, virtual reality, and video conferencing. An interview with an IT director discusses views on I2 in Hong Kong and networks like HARNET and CERNET.
Opportunities for Advanced Technology in TelecommunicationsLarry Smarr
06.12.07
Invited Talk
37th IEEE Semiconductor Interface Specialists Conference
Catamaran Resort Hotel
Title: Opportunities for Advanced Technology in Telecommunications
San Diego, CA
This document discusses mobile and wireless computing and networking basics. It covers the seven layers of the OSI model and their functions. It also describes various techniques for multiplexing wireless channels, including space, time, frequency and code division multiplexing. Challenges like hidden and exposed terminals that arise with using CSMA in wireless networks are also summarized. The document concludes by stating the course will focus on studying routing protocols for mobile ad hoc networks.
The document summarizes a study that developed a multimedia mobile classroom feedback system to improve interaction between instructors and students. Key features of the system include automated attendance checking, in-class evaluations, improving student willingness to ask questions, instant grade checking, cross-platform use, and recording the learning process. An evaluation of 105 undergraduate students found the system was superior to traditional methods in interactivity, mobility, and functionality. The system uses a client-server model to allow students to respond to questions and provide feedback using mobile devices, which is then displayed for the instructor in real-time.
This document analyzes and compares free virtual classroom software. It establishes desirable criteria for the software, including common performance features like integrated text chat, audio/visual presentation sharing, and webcam video. Extra desirable features mentioned are desktop sharing, private chat, and participant lists. The document then evaluates several free software solutions against these criteria.
This document provides an overview of CDAC's Virtual Classroom project. It describes CDAC as an organization involved in software technology research and development. It outlines CDAC's mission, objectives, research groups, and ongoing projects including Vasistha, an online learning framework, and Veda, an online testing system. The document was submitted by Shubhangi K. Jadhav for her virtual classroom project.
GlobalLogic Java Community Webinar #18 “How to Improve Web Application Perfor...GlobalLogic Ukraine
Під час доповіді відповімо на питання, навіщо потрібно підвищувати продуктивність аплікації і які є найефективніші способи для цього. А також поговоримо про те, що таке кеш, які його види бувають та, основне — як знайти performance bottleneck?
Відео та деталі заходу: https://bit.ly/45tILxj
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Must Know Postgres Extension for DBA and Developer during MigrationMydbops
Mydbops Opensource Database Meetup 16
Topic: Must-Know PostgreSQL Extensions for Developers and DBAs During Migration
Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
Date & Time: 8th June | 10 AM - 1 PM IST
Venue: Bangalore International Centre, Bangalore
Abstract: Discover how PostgreSQL extensions can be your secret weapon! This talk explores how key extensions enhance database capabilities and streamline the migration process for users moving from other relational databases like Oracle.
Key Takeaways:
* Learn about crucial extensions like oracle_fdw, pgtt, and pg_audit that ease migration complexities.
* Gain valuable strategies for implementing these extensions in PostgreSQL to achieve license freedom.
* Discover how these key extensions can empower both developers and DBAs during the migration process.
* Don't miss this chance to gain practical knowledge from an industry expert and stay updated on the latest open-source database trends.
Mydbops Managed Services specializes in taking the pain out of database management while optimizing performance. Since 2015, we have been providing top-notch support and assistance for the top three open-source databases: MySQL, MongoDB, and PostgreSQL.
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This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
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We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.
AI in the Workplace Reskilling, Upskilling, and Future Work.pptxSunil Jagani
Discover how AI is transforming the workplace and learn strategies for reskilling and upskilling employees to stay ahead. This comprehensive guide covers the impact of AI on jobs, essential skills for the future, and successful case studies from industry leaders. Embrace AI-driven changes, foster continuous learning, and build a future-ready workforce.
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The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
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Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
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Charlie Greenberg, host
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Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
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Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
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Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
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Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
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QR Secure: A Hybrid Approach Using Machine Learning and Security Validation F...AlexanderRichford
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Machine Learning Model: Predicts the likelihood of a URL being malicious.
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Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
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Dynamic. Modular. Productive.
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Interoperability at its Core
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Multi-Runtime
From the tiny 2m operating system binary to running on our pure Java web server, CommandBox, Jakarta EE, AWS Lambda, Microsoft Functions, Web Assembly, Android and more. BoxLang has been designed to enhance and adapt according to it's runnable runtime.
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Empowering Transition with Transpiler Support
Transitioning from CFML to BoxLang is seamless with our JIT transpiler, facilitating smooth migration and preserving existing code investments.
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As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Keywords: AI, Containeres, Kubernetes, Cloud Native
Event Link: https://meine.doag.org/events/cloudland/2024/agenda/#agendaId.4211
1. The Virtual Classroom: a Worldwide Wireless Internet
Collaborative Experimental Environment
Max Butin1 and Benoit Belley2
San Jose State University, San Jose, California, 95192
Industry Advisors: Ken Biba3 and Paul Hopkins 4
AeroPac Inc., Santa Rosa, California, 95404
Industry Advisor: Nick Pelster5
California Space Authority, Santa Maria, California, 93455
Faculty Advisor: Bob Twiggs6
Stanford University, Palo Alto, CA, 94305
and
Faculty Advisor: Perikles Papadopoulos7
San Jose State University, San Jose, California, 95192
This paper presents the design and current status of the interactive Virtual
Classroom project. A prototype is currently in development at SJSU to implement
and test equipment, software and processes for extending the classroom and
experimental teams to remote sites via wireless internet. The intent of the center is
to demonstrate and develop systems that can be implemented for outreach
programs to provide the students immersed education by taking the classroom to
the experimental site. The interactive IP network supports experiments such as,
robot tele-presence, multi-sensor observatories, real time computational fluid
dynamic, structural and thermal analyses for vehicles and payloads such as micro-
satellites, high altitude balloons and rockets. The system deployed allows for
1 Student, Department of Computer Science, One Washington Square, Junior
2 Student, Department of Mechanical and Aerospace Engineering, One Washington Square,
Junior
3 Chairman, Board of Directors, 1117 Monroe Ct
4 Secretary, Board of Directors, 1117 Monroe Ct
5 Technical Director, 3201 Airpark Dr., Ste. 204,Senior
6Professor Emeritus, Department of Aeronautics and Astronautics, Space Systems Development
Laboratory, Durand Building 377, 496 Lomita Mall, Senior
7 Professor, Department of Mechanical and Aerospace Engineering, One Washington Square,
Senior
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2. worldwide collaboration and virtual access to remote experimental facilities and
modeling laboratories. The collaborative services provided include video/audio,
links between experiment areas and experimenters, archive capabilities and
broadcast of two-way video and audio, instant messaging.
Nomenclature
3G = 3rdGeneration cellular service
802.11g = IEEE wireless network standard at 2.4 GHz
802.11a = IEEE wireless network standard at 5 GHz
APRS = Automatic Position Reporting System amateur radio standard for datagram telemetry
IP = Internet Protocol
GHz = Gigahertz
LEO = Low Earth Orbit
Mbps = Megabits per second
I. Introduction
THE Virtual Classroom is a network
system to provide a distributed, near
real-time electronic collaborative
environment that allows video, audio,
data and sensor participation by a
worldwide set of participants in
experiments undertaken in physically
remote locations. These locations, due
to cost, accessibility, safety or other
concerns often do not permit
communities to participate at the
location. For example, all of the student
members of a robotic satellite team may
not be able to be at the launch and Figure 1. Real time network integrates video,
recovery site. The Virtual Classroom audio and data to/from remote experiments.
permits all members of these teams to view and
participate in these experiments with many of the
tools that on-site experimenters have and might
well bring access to remote analysis tools that are
impractical to bring to the remote site.
The Virtual Classroom is an integrated system of
modern wireless networks that distribute video,
audio, data and text within a remote experimental
area and provides for the interconnection to remote
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3. participants in classrooms or indeed any worldwide location with a broadband Internet
connection.
II. Design
The Virtual Classroom is a systems integration of a number of architectural elements. The
ar real-time two principal components are first, a real-time IP network backbone that provides a high capacity
io, data and (multi Mbps), standard IP communications network interconnecting experiments and
experimenters worldwide, and second, a set of network and processing elements for the
dissemination, storage and analysis of video, audio, and data from the experiments.
With modern wireless IP network equipment, the Virtual Classroom can cover an
experimental area of up to two hundred and fifty square kilometers with multi Mbps service and
then interconnect to the entire Internet.
A. Real-time IP Network
1. Internet Backbone Network
The remote experimental site(s) each need to be connected back to the worldwide Internet
with a broadband connection. The Virtual Classroom network has been designed to
accommodate a variety of Internet connections based on availability, cost and location.
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4. Figure 3. Virtual Classroom Architecture.
The prototype uses a new generation all IP small aperture (1.2m) portable VSAT that delivers
an on-demand, low latency IP service of approximately .6 Mbps uplink and 2 Mbps downlink at
an affordable cost. This capacity is sufficient for several simultaneous, high quality
bidirectional MPEG4 video streams as well as real-time telemetry, teleconferencing, robot
telepresence and general support for other IP based applications such as web access and email.
The VSAT, however, does not easily support mobile operations for such experiments as
balloon payload communications that might cover a geographic area far in excess of a Virtual
Classroom network footprint. For such an application, an IP gateway to the 3G cellular network
will be more appropriate – permitting mobile communications wherever the cellular network
extends though at the penalty of a 50% decrease in Internet capacity.
The Virtual Classroom can take advantage of higher capacity wired Internet backbone
connections in experiment locations where such a connection is available.
2. Experimental Area Backbone Network
The core service of the Virtual Classroom network is a high performance IEEE 802.11
wireless network. The user network is an 802.11g network at 2.4 GHz defined by digital
repeaters selectively mounted on nearby hills to illuminate the experimental area with 802.11g
service. The repeaters are interconnected via a 5.8 GHz IEEE 802.11a backbone subnetwork to
the VC Base Station.
The prototype uses a 10 kilometer long 5.8 GHz
link from the Virtual Classroom Base Station to a
single repeater and consistently delivers 18-20 Mbps
of user throughput with an average of a 48 Mbps
modulation rate. The repeater includes an IEEE
802.11g access point to illuminate the experimental
area and delivers 18-20 Mbps of user throughput
across 65 km2 of experimental area. Slight
improvements to the antenna of the prototype Mobile
Carts would likely increase the area covered by
almost 2x.
3. Experimental Area Network(s)
The Virtual Classroom offers two types of
experimental area networks for use in experiments: a Figure 4. IEEE 802.11g wireless
2.4 GHz 802.11g network and an APRS telemetry network covers over 65 km2.
network on both the 70 cm and 2 m amateur radio
bands.
The 2.4 GHz IEEE 802.11g network is designed to support experiments and sensors both on
the ground (over 65 km2 of area) and overhead (up to 10 kilometers altitude) at throughput
sufficient for real-time MPEG4 video. The 70 cm and 2m APRS telemetry network is designed
to communicate location, weather and sensor telemetry embedded in aerial payloads (rockets,
prototype satellites and balloons) to altitudes of over 20 miles. APRS standard protocols are
used on dedicated frequencies to increase the telemetry capacity of the network.
Both networks are interconnected back via the Virtual Classroom Base Station to the Internet
backbone. The modest traffic levels of the APRS telemetry subnetwork allows all traffic from
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5. these networks to be both stored at the Base Station’s servers as well as forwarded to the APRS-
IS Internet servers.
The Virtual Classroom experiment area IEEE 802.11 network has a much higher aggregate
capacity than the backbone Internet link, so locally generated traffic, particularly video, is stored
locally at the Virtual Classroom Base Station server and selectively streamed to the Internet.
Traffic shaping capability of the base station permits selective transmission of real-time IP traffic
as well as control of bandwidth intensive media traffic.
B. System Components
The Virtual Classroom is system is composed of six key elements.
4. Virtual Classroom Base Station
The Virtual Classroom Base Station is the principal integration point for the system. It is
implemented in a small, compact car pullable trailer both for simplicity of deployment and
transport and for environmental robustness. It provides universal power (battery, solar panels,
and generator) for all systems and is the platform for antennas used for the Virtual Classroom
wireless network. It provides the following functions:
Internet connection. The Base Station includes backbone Internet connection(s), specifically
including the VSAT, associated
electronics and the traffic shaping
router. Alternative Internet
connections are provided for.
Video/audio server. An industry standard computer hosts a
video and audio server capable of both
recording and storing multiple MPEG4
video streams from multiple Mobile
Carts, but also providing for
restreaming of a selected video feed to
the Internet.
Conferencing server. The Base Station server hosts a
conferencing server for conferences
among experimenters at the remote site
as well as across the Internet.
Telemetry gateway/server. The Base Station contains the
antennas and radios for multiple
channels of 70 cm and 2 m APRS Figure 5. Base Station with
telemetry service. Telemetry and APRS 70cm and 2m, 802.11a
location data are both locally stored Backbone Panel and 802.11g
and forwarded to the global APRS-IS Local Antennas.
service for redistribution to the
Internet. Global users can retrieve APRS-IS stored data for near real-
time location plotting in Google Earth. Both systems use circularly
polarized antennas specifically designed for overhead coverage of
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6. experiments and providing the basis for a LEO satellite
communications capability.
System management. The Base Station is designed for headless operation through remote
network connected computers.
Repeater Connection. The Base Station includes one (or more) 5.8 GHz links to surrounding
repeaters that define the experiment area network. This white panel
can be seen mounted in Fig. 5.
Preparation Area Network. A IEEE 802.11g high power (26 dBm TX, 9 dBi antenna fain, -95
dBm RX sensitivity) access point is configured on the Base Station to
extend the experiment wireless network providing laptop wireless
access within 1 km of the Base Station. It is anticipated that this
network will be used for experiment preparation and evaluation.
Overhead Network. A high power 802.11g access point is configured on the Base Station
with a circularly polarized panel antenna specifically designed for
overhead coverage. We anticipate overhead multi Mbps 802.11g
coverage up to 10 kilometers and likely higher with anticipated
enhancements.
5. Network Repeaters
One important key to good wireless network
coverage is taking appropriate advantage of geographic
height. The Virtual Classroom uses local features
(hills, buildings) as locations to mount a repeater station
to link the Base Station to user stations in the
experiment area. Our prototype uses a new generation
of inexpensive, integrated, high performance IEEE
802.11a access points to connect the Base Station to the
repeater over distances of tens of kilometers. The high
transmit power (26 dBm), high antenna gain (22 dBi),
high receiver sensitivity (better than -95 dBm) and wide Figure 6. Repeater Illuminating 65
beamwidth (effectively 20 degrees) permits both high km2 of the Black Rock Desert.
performance and simple field configuration.
These 802.11a backbone access points are then bridged to
one or more IEEE 802.11g access points to provide
experiment area network coverage. Multiple access points
can be configured to either increase coverage area or increase
capacity. The new generation of IEEE 802.11g access points
permits high transmit power (26 dBm), high antenna gain (18
dBi), high receiver sensitivity (better than -95 dBm) and wide
beamwidth (effectively 30 degrees) permits high
performance, and a large coverage area (over 65 km2 per
802.11g access point).
The repeater is independently powered (battery and solar
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7. panels) and environmentally robust.
6. Mobile Carts
The Virtual Classroom instruments the experiment area with Mobile Carts that provide an
independent sensor platform to observe and document experiments. Each Mobile Cart provides
for
• independent power (battery and solar panels),
Figure 7. Mobile Cart with
• wireless IEEE 802.11g communications via the
Radio, PTZ Video Camera and
experiment area network to the Base Station, other Power.
stations in the experiment and the Internet, and
• remotely (from the Base Station) controlled (pan, tilt, zoom) MPEG4 video/audio
cameras.
The Mobile Cart video/audio is stored in real-time at the Base Station and selectively
streamed to the Internet.
The prototype has four Mobile Carts.
The Mobile Carts are stored in the Base Station trailer
for transport.
7. Experiments
Experiments can take advantage of any or none of the
network services of the Virtual Classroom.
The IEEE 802.11g network can be used by an
experiment throughout the coverage volume of the
network. A number of alternative high performance
802.11g network interfaces are available to be embedded
within experiments and deliver multi Mbps network
service with proven capability at speeds up to several
hundred kilometers per hour. Balloons, rockets, Figure 8. 70 cm APRS GPS
prototype satellites, remote robots can all benefit from location and telemetry transmitter.
high bandwidth network communications.
Compact network interfaces for both the 70 cm and 2m APRS networks can be embedded
inside experiments. The APRS protocol provides for standard location, sensor telemetry and
low bandwidth messaging for these experiments. While narrowband, APRS has the proven
advantage of demonstrated LEO communications capability.
8. Internet Hosts
The Virtual Classroom makes use of Internet hosted services to widely disseminate data from
a remote experimental location. The use of these Internet services minimizes load on the limited
bandwidth capacity of the Virtual Classroom Internet VSAT connection and maximizes use of
wideband wired Internet services. The Virtual Classroom streams to the Internet services, which
in turn stream to the much larger community of Internet experimenters.
Video/audio. Streaming video from the Mobile Carts, documenting experiments, is
streamed to the Base Station for local storage. The Base Station
selectively streams a subset of this video to an Internet based server at
SJSU for distribution to Internet based experimenters.
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8. Chat. The Virtual Classroom interfaces to open source chat services enabling
bidirectional, multimedia chat conversations between experimenters at
the remote location and distributed across the Internet.
APRS Telemetry. The Virtual Classroom forwards all APRS telemetry traffic to the
amateur radio maintained APRS-IS. From several Internet based
servers (findu.com, aprs.fi and others) Internet based experimenters
have HTTP access to weather, telemetry and location information from
the Virtual Classroom experiments.
Email. Access to standard email services are provided to remote
experimenters.
Web access. Access to standard web sites are provided to remote experimenters.
Other TCP-IP. Pass through for extended IP communication services is provided in
real-time for experiments to/from the Internet. It is anticipated that
this will be a fertile experimental area for robotic telepresence
experiments.
The Virtual Classroom Base station controls allocation of the limited Internet bandwidth
among these applications and provides traffic shaping to prioritize traffic.
9. Experimenters
Remote and local experimenters have access to the complete video, audio, data and telemetry
data streams via industry standard protocols on multivendor personal computer platforms.
III. Applications
The first application of the Virtual Classroom is
in support of student satellite programs launched by
amateur rockets at the Black Rock Desert in
northwest Nevada.
C. ARLISS
The first operational deployment of the Virtual
Classroom is for the ARLISS8 2008 event in
September 2008 at Black Rock, Nevada. ARLISS
has a ten year history of delivering over 200 student
satellite payloads to 3 miles altitude for recovery in
harsh desert conditions.
The Virtual Classroom will provide real-time
Figure 9. Near real-time APRS rocket
video, audio, chat and telemetry support for both
tracking via APRS-IS and Google Earth.
payloads and airframes. An example of a Google
Earth plot of several airframe tracks using 70 cm APRS location tracking is shown in Fig. 9.
D. Balloon Flights
8 A Rocket Launch for International Student Satellites, www.arliss.org
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9. 2m APRS services have often been used to track and support high altitude near earth balloon
experiments. The Virtual Classroom supports these services but adds high bandwidth IEEE
802.11g services that potentially can extend to the altitudes these balloons achieve.
The Virtual Classroom can provide real-time forwarding of these experiments to the Internet
and real-time access from remote experimenters to these experiments.
E. Robot Tele-Presence
Robots increasingly benefit from high bandwidth communications. The ability to
communicate permits experimentation with varying degrees of autonomy and with algorithms
that can later be moved to the robotic platform while being developed in a more computationally
friendly remote environment. The Virtual Classroom is expected to be a strong asset for such
robotic experiments.
IV. Future Opportunities
The Virtual Classroom provides a powerful platform for the support of experiments and
education that is not limited to the physical classroom.
F. Platform Improvements
The prototype Virtual Classroom has demonstrated the potential of the concept and exposes
key opportunities for improvements in the basic platform.
Increased performance. The IEEE 802.11 family of standards on which the Virtual
Classroom is based is an evolving standard. The latest standard IEEE
802.11n promises to increase throughput performance by a factor of 2.
Increased coverage. More repeaters and more access points can be used to increase the
coverage area.
Power independence. Upgrade Mobile Carts with solar panels to be completely power self-
sufficient.
LEO communications. 2m and 70cm APRS has the proven capability for the support of LEO
satellite communications. The Virtual Classroom has the harder
capability to support this service and further integration to explicitly
support LEO communications is likely.
User interface. The current user interface to the Virtual Classroom is the aggregate of
existing, individual service user interfaces. Providing an integrated
web based user interface to the aggregate services will likely
substantially increase the usability of the system to experimenters that
are not computer experts.
G. New Applications
The Virtual Classroom provides a platform for the support of new applications.
While it was designed for support of student satellite experiments, the Virtual Classroom can
be extended to provide remote access to any field based experiments.
One intriguing future new application is the exploration of extending IEEE 802.11
communications to domains currently unexplored. Overhead high bandwidth network coverage
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10. to high altitudes and speed - high altitude rockets, balloons and LEO satellites – is a potentially
profitable area of examination.
H. Replication
The Virtual Classroom is an inexpensive, open system constructed with the intent of ease of
replication for other experimenters and applications.
V. Conclusion
The Virtual Classroom demonstrates that modern wireless communications systems can be
integrated to provide seamless, high performance communications even to remote locations. It
provides a platform for extending to the entire Internet both education to experiments
conventionally only performed in remote locations, but also for the conduct of experiments that
can only occur with the aid of high performance digital communications.
Acknowledgments
Professor Bob Twiggs created the idea of the Virtual Classroom and provided the inspiration
for the concept. We would like to thank the California Space Authority and the US Department
of Labor for funding for this program. We would like to thank AeroPac for donations of
equipment and expertise in the construction of this system. Professor Papadopoulos provided
laboratory space and encouragement.
American Institute of Aeronautics and Astronautics
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