Wireless multimedia sensor networks (WMSNs) allow for the collection of interactive media like video and audio streams from sensor devices. The paper surveys the state of the art in algorithms, protocols, and hardware for WMSNs. It discusses existing network models and open research issues at various layers of the communication protocol stack, as well as potential cross-layer optimizations. Time-hopping impulse radio ultra-wideband (TH-IR-UWB) is promising for the physical layer due to features like low power consumption and high data rates over short distances. The MAC layer must provide channel access and error control schemes to support different types of multimedia data streams in the network.
Cognitive Radio (CR) is an adaptive, intelligent radio and network technology that can automatically detect available channels in a wireless spectrum and change transmission parameters enabling more communications to run concurrently and also improve radio operating behavior.
In recent past the influence of Radar has played a significant part in various fields. Radar sensing is one of
the prime application by which velocity and distance of a moving target can be found out. A joint RadCom
system to serve both radar sensing and wireless communication is proposed which ensures better
performance in terms of spectral efficiency, extended detection range and cost effectiveness. Such systems
demand for a common waveform which is designed in this work that perfectly matches to the system
requirements. OFDM multi carrier technique is chosen to generate a common waveform. Applicability of
multiple antenna technique for direction of arrival estimation is also considered. MIMO-OFDM technique
has gained much interest in the field of communication which improves the signal to noise ratio and lowers
the bit error rate. On the other hand the usage of MIMO reflects in the form of interference between
signals. In order to overcome this effect beamforming technique is used. In addition to theoretical
explanations we have also simulated and discussed the results for the proposed RadCom system using
MATLAB simulation tool.
An overview of cognitive radio, comparison of cognitive radio vs. conventional radio, real-world applications for cognitive radio networks, how cognitive radios improve spectrum efficiency and address the wireless spectrum shortage.
The document discusses spectrum usage and dynamic spectrum access. It notes that current spectrum policies result in inefficient usage, with some blocks saturated and others underused. Improved flexibility and regulation are needed. Context-aware applications and cross-layer optimization, including flexible spectrum use, could enhance service. Most discussions focus on cognitive radio and how it can intelligently manage radio systems and networks to better utilize spectrum.
NetSim Webinar on Cognitive Radio NetworksSANJAY ANAND
Why use a Network Simulator for research ?
Introduction to NetSim
Cognitive Radio Basics
Designing Cognitive Radio networks using NetSim
Modifying Cognitive Radio source C code in NetSim
How to develop custom metrics?
Q & A
Cognitive radios are smart radios that can sense their environment and adjust their transmission parameters accordingly. They were first proposed in 1999 to more efficiently utilize limited radio spectrum. Cognitive radios operate in a cycle of spectrum sensing, decision, sharing, and mobility. They can access licensed spectrum as secondary users as long as they do not interfere with primary users. This allows for increased spectrum utilization. Cognitive radios have characteristics of cognitive capability, reconfigurability, and self-organization. They enable applications such as cognitive mesh networks and public safety networks through techniques like dynamic spectrum management.
The Abstracted Network for Industrial Internet- SlidesMeshDynamics
Taking cues from Nature, MeshDynamics is extending concepts outlined in the book “Rethinking the Internet of Things” to address challenges in supporting robust, real time, secure, scalable, subscribable messaging for our OEM licensees and their applications in Military and Industrial Internet (IIOT). Unclassified Section of Presentation.
http://www.slideshare.net/DaCostaFrancis/the-abstracted-network-for-industrial-internet
Cognitive Radio (CR) is an adaptive, intelligent radio and network technology that can automatically detect available channels in a wireless spectrum and change transmission parameters enabling more communications to run concurrently and also improve radio operating behavior.
In recent past the influence of Radar has played a significant part in various fields. Radar sensing is one of
the prime application by which velocity and distance of a moving target can be found out. A joint RadCom
system to serve both radar sensing and wireless communication is proposed which ensures better
performance in terms of spectral efficiency, extended detection range and cost effectiveness. Such systems
demand for a common waveform which is designed in this work that perfectly matches to the system
requirements. OFDM multi carrier technique is chosen to generate a common waveform. Applicability of
multiple antenna technique for direction of arrival estimation is also considered. MIMO-OFDM technique
has gained much interest in the field of communication which improves the signal to noise ratio and lowers
the bit error rate. On the other hand the usage of MIMO reflects in the form of interference between
signals. In order to overcome this effect beamforming technique is used. In addition to theoretical
explanations we have also simulated and discussed the results for the proposed RadCom system using
MATLAB simulation tool.
An overview of cognitive radio, comparison of cognitive radio vs. conventional radio, real-world applications for cognitive radio networks, how cognitive radios improve spectrum efficiency and address the wireless spectrum shortage.
The document discusses spectrum usage and dynamic spectrum access. It notes that current spectrum policies result in inefficient usage, with some blocks saturated and others underused. Improved flexibility and regulation are needed. Context-aware applications and cross-layer optimization, including flexible spectrum use, could enhance service. Most discussions focus on cognitive radio and how it can intelligently manage radio systems and networks to better utilize spectrum.
NetSim Webinar on Cognitive Radio NetworksSANJAY ANAND
Why use a Network Simulator for research ?
Introduction to NetSim
Cognitive Radio Basics
Designing Cognitive Radio networks using NetSim
Modifying Cognitive Radio source C code in NetSim
How to develop custom metrics?
Q & A
Cognitive radios are smart radios that can sense their environment and adjust their transmission parameters accordingly. They were first proposed in 1999 to more efficiently utilize limited radio spectrum. Cognitive radios operate in a cycle of spectrum sensing, decision, sharing, and mobility. They can access licensed spectrum as secondary users as long as they do not interfere with primary users. This allows for increased spectrum utilization. Cognitive radios have characteristics of cognitive capability, reconfigurability, and self-organization. They enable applications such as cognitive mesh networks and public safety networks through techniques like dynamic spectrum management.
The Abstracted Network for Industrial Internet- SlidesMeshDynamics
Taking cues from Nature, MeshDynamics is extending concepts outlined in the book “Rethinking the Internet of Things” to address challenges in supporting robust, real time, secure, scalable, subscribable messaging for our OEM licensees and their applications in Military and Industrial Internet (IIOT). Unclassified Section of Presentation.
http://www.slideshare.net/DaCostaFrancis/the-abstracted-network-for-industrial-internet
Keith Nolan - Use Of Cognitive Radio To Improve Spectrum Usage Efficiency And...Keith Nolan
Keith Nolan - spectrum, regulatory, technical and market issues surrounding the use of cognitive radio to improve spectrum usage efficiency and data capacity, IEEE VTS UKRI meeting, July 2012, Dublin, Ireland
This document discusses using cognitive radio networks to enable smart grid applications. It begins by introducing smart grids and their need to overcome challenges in aging infrastructure and growing energy demands. It then discusses cognitive radio networks, which can opportunistically access licensed spectrum without interfering with licensed users. The document outlines the key components of cognitive radio networks and smart grids, and proposes using cognitive radio networks to enable smart grid applications at the home area network, neighborhood area network, and wide area network levels. Specifically, it suggests cognitive radio technologies could manage spectrum sharing among smart meters and grid components to improve efficiency and flexibility of smart grid operations.
This document discusses cognitive radio networks (CR). CR networks are defined as networks that are aware of their surroundings and can dynamically reconfigure their characteristics. The document outlines topics that will be discussed including CR antennas, mechanisms, accessibility, adaptivity, scalability, reliability and interconnectivity. It provides examples of how CR networks improve these qualities and can sense spectrum usage, analyze it, decide on parameters, and tune transmissions accordingly using reconfigurable antennas. The document compares CRs to conventional radios and outlines benefits of CRs such as functioning in challenging conditions and identifying unused spectrum. It mentions xG Technology developed CR network technology called xMax.
Cognitive Radio: When might it Become Economically and Technically Feasible? Jeffrey Funk
My Master's students use ideas from my (Jeff Funk) forthcoming book (Technology Change and the Rise of New Industries) to analyze the economic and technical feasibility of cognitive radio. See my other slides for details on concepts, methodology, and other new industries.
Cognitive radio is an intelligent wireless communication system that is aware of its environment and can learn and adapt to better utilize available spectrum. It aims for highly reliable communication and efficient spectrum usage. Cognitive radios use radio scene analysis to detect spectrum holes by analyzing signals over time and space. They also estimate interference temperature using spectral estimation and adaptive beamforming. Transmit power control and dynamic spectrum management allow cognitive radios to opportunistically access spectrum holes while avoiding interference. Future work may focus on language understanding, MIMO techniques, and nanoscale processing to improve cognitive radio capabilities.
CR : smart radio that has the ability to sense the external environment, learn from the history and make intelligent decisions to adjust its transmission parameters according
to the current state of the environment.
Cognitive radio is an enhancement of software defined radio that allows radios to sense their environment and change operating parameters accordingly. It was first proposed in 1998 as a way to more efficiently utilize limited radio frequency spectrum. A cognitive radio can sense available portions of spectrum, then dynamically use those available channels while avoiding occupied ones. This allows for greater spectrum utilization and more flexible interoperability between different wireless technologies. However, cognitive radio also faces significant hardware and software challenges around dynamic reconfiguration, interference avoidance, and security that must be addressed for it to be fully realized.
This document provides an overview of software defined cognitive radio concepts, including:
- Basic concepts of software defined radio (SDR) and cognitive radio (CR) and their relationship
- How cognitive radios are implemented through sensing, adaptation, and learning
- Regulatory issues and applications of cognitive radio for interoperability and spectrum access
- Current research challenges in SDR hardware, software architectures, and cognitive radio implementation
Cognitive radio is a type of wireless communication that senses its operational environment and can change its transmission parameters accordingly. It allows unlicensed users to access portions of the radio spectrum normally reserved for licensed users, provided they do not cause harmful interference. Key functions of cognitive radio include spectrum sensing, analysis, management and sharing to efficiently utilize available spectrum. It provides benefits like optimal diversity, improved spectrum efficiency and quality of service. However, issues like spectrum management and ensuring co-existence with other systems need to be addressed for cognitive radio to be effectively implemented. Potential applications include use in emergency communications and wireless regional area networks.
Oliver Holland - IEEE VTS UKRI - Energy efficiency challenges of data volume...Keith Nolan
Oliver Holland from King's College London talks about energy efficiency challenges of data volume increases and the use of sleep modes facilitated by opportunistic cognitive radio networking as a solution
Cognitive radio is a form of wireless communication that detects available channels in the radio spectrum and moves into vacant channels to avoid occupied ones. It senses its operational environment to detect unused spectrum and adjusts transmission parameters accordingly. This allows for more efficient use of the spectrum by taking advantage of spectrum white spaces. The cognitive cycle involves spectrum sensing, decision, sharing, and mobility. Cognitive radio networks apply these principles across network resources as well to optimize performance. Techniques like software-defined radio, machine learning, game theory, and cross-layer design help enable cognitive capabilities. Cognitive radio could help address increasing mobile data usage and be applied in 5G networks and new applications.
The document discusses the conceptual design and experimental setup of a Visible Light Communication system called VIDAS for transmitting traffic information to vehicles. VIDAS uses LED traffic lights to transmit data to onboard vehicle receivers via visible light modulation. Key components discussed include the multiple LED emitter source, PIN photodiode detector, front-end amplifier, direct sequence spread spectrum modulation, and considerations for noise and signal variation over distance. Experimental results showed VIDAS enabled reception of traffic information from 100m away and adaptation to changing signal strength as vehicles approached intersections.
This document discusses cognitive radio sensor networks (CRSN). It defines cognitive radio as a radio that is aware of its surroundings and adapts intelligently. A CRSN allows radios to dynamically tune to different frequencies and protocols based on environmental conditions to improve accessibility, adaptability, scalability, reliability and interconnectivity. The document outlines the CRSN mechanism of sense, analyze, decide and tune in using sensing and reconfigurable antennas. It compares cognitive radios to conventional radios, highlighting cognitive radios' ability to identify unused spectrum and adapt to interference. Benefits of CRSN include meeting FCC regulations and maximizing throughput. Applications of cognitive radio include compact wireless access points.
Cognitive radio network_MS_defense_presentationIffat Anjum
The document appears to be a student thesis that discusses medium access control (MAC) protocols for coexisting cognitive radio networks (CCRNs). It proposes a new distributed and quality of service aware MAC protocol called WF-MAC. WF-MAC aims to enable fair channel sharing among multiple CCRNs while maintaining QoS sensitivity and maximizing spectrum utilization. It achieves this through a two dimensional learning mechanism for channel selection based on perception and availability prediction.
The document provides an overview of cognitive radio networks and spectrum sharing. It discusses how cognitive radio allows for opportunistic and adaptive usage of spectrum. It defines primary and secondary users and describes the cognitive radio network architecture. It then covers spectrum sensing, management, mobility and sharing in cognitive radio systems. Game theory approaches to modeling spectrum sharing are also summarized.
Cognitive radio networks allow for secondary users to access unused licensed frequencies, known as spectrum holes. The document discusses the history and introduction of cognitive radio, characteristics including cognitive capability, reconfigurable capability, and self-organized capability. It then covers cognitive radio networks architecture including infrastructure-based, ad-hoc, and mesh architectures. It also discusses security issues, attacks on cognitive networks, applications, cognition techniques, and future research directions such as seamless spectrum handovers and proactive spectrum selection and interference avoidance.
Multi Channel Protocols In Cognitive Radio NetworksMuhammad Mustafa
Cognitive radio is a paradigm for wireless communication in which either a network or a wireless node changes its transmission or reception parameters to communicate efficiently avoiding interference with licensed or unlicensed users. This alteration of parameters is based on the active monitoring of several factors in the external and internal radio environment, such as radio frequency spectrum, user behaviour and network state. this presentation discusses main approaches and protocols of multichannel cognitive radio networks.
This document discusses cognitive radio and its radio frequency (RF) challenges. It begins by introducing dynamic spectrum access and the concept of cognitive radio as a way to opportunistically access unused licensed spectrum. It then discusses the key elements of cognitive radio systems, including spectrum sensing to detect unused spectrum and flexible waveforms. It focuses on the interweave approach where secondary users access spectral holes not in use by primary licensed users. Finally, it discusses some of the RF challenges in implementing cognitive radio, particularly wideband spectrum sensing to reliably detect primary user signals across frequency bands.
This document provides an introduction to wireless sensor networks. It describes a wireless sensor network as a network consisting of distributed sensors that monitor conditions like temperature, sound, and pollutants and pass data to a central location. Each sensor node contains a radio transceiver, microcontroller, sensor interface electronics, and a power source. The sensors form a multi-hop network to transmit data across long distances. Event-driven wireless sensor networks only transmit messages when events of interest occur to avoid overloading the network and wasting energy.
This document surveys the state of research on wireless multimedia sensor networks (WMSNs). It discusses how low-cost hardware like cameras and microphones has enabled the development of networks that can retrieve multimedia content like video and audio streams. The document outlines several applications of WMSNs, from surveillance to healthcare to environmental monitoring. It also discusses challenges in supporting quality of service for multimedia delivery over resource-constrained wireless sensor networks. Open research issues are explored at different layers of the communication protocol stack as well as opportunities for cross-layer optimization and in-network processing of multimedia content.
Keith Nolan - Use Of Cognitive Radio To Improve Spectrum Usage Efficiency And...Keith Nolan
Keith Nolan - spectrum, regulatory, technical and market issues surrounding the use of cognitive radio to improve spectrum usage efficiency and data capacity, IEEE VTS UKRI meeting, July 2012, Dublin, Ireland
This document discusses using cognitive radio networks to enable smart grid applications. It begins by introducing smart grids and their need to overcome challenges in aging infrastructure and growing energy demands. It then discusses cognitive radio networks, which can opportunistically access licensed spectrum without interfering with licensed users. The document outlines the key components of cognitive radio networks and smart grids, and proposes using cognitive radio networks to enable smart grid applications at the home area network, neighborhood area network, and wide area network levels. Specifically, it suggests cognitive radio technologies could manage spectrum sharing among smart meters and grid components to improve efficiency and flexibility of smart grid operations.
This document discusses cognitive radio networks (CR). CR networks are defined as networks that are aware of their surroundings and can dynamically reconfigure their characteristics. The document outlines topics that will be discussed including CR antennas, mechanisms, accessibility, adaptivity, scalability, reliability and interconnectivity. It provides examples of how CR networks improve these qualities and can sense spectrum usage, analyze it, decide on parameters, and tune transmissions accordingly using reconfigurable antennas. The document compares CRs to conventional radios and outlines benefits of CRs such as functioning in challenging conditions and identifying unused spectrum. It mentions xG Technology developed CR network technology called xMax.
Cognitive Radio: When might it Become Economically and Technically Feasible? Jeffrey Funk
My Master's students use ideas from my (Jeff Funk) forthcoming book (Technology Change and the Rise of New Industries) to analyze the economic and technical feasibility of cognitive radio. See my other slides for details on concepts, methodology, and other new industries.
Cognitive radio is an intelligent wireless communication system that is aware of its environment and can learn and adapt to better utilize available spectrum. It aims for highly reliable communication and efficient spectrum usage. Cognitive radios use radio scene analysis to detect spectrum holes by analyzing signals over time and space. They also estimate interference temperature using spectral estimation and adaptive beamforming. Transmit power control and dynamic spectrum management allow cognitive radios to opportunistically access spectrum holes while avoiding interference. Future work may focus on language understanding, MIMO techniques, and nanoscale processing to improve cognitive radio capabilities.
CR : smart radio that has the ability to sense the external environment, learn from the history and make intelligent decisions to adjust its transmission parameters according
to the current state of the environment.
Cognitive radio is an enhancement of software defined radio that allows radios to sense their environment and change operating parameters accordingly. It was first proposed in 1998 as a way to more efficiently utilize limited radio frequency spectrum. A cognitive radio can sense available portions of spectrum, then dynamically use those available channels while avoiding occupied ones. This allows for greater spectrum utilization and more flexible interoperability between different wireless technologies. However, cognitive radio also faces significant hardware and software challenges around dynamic reconfiguration, interference avoidance, and security that must be addressed for it to be fully realized.
This document provides an overview of software defined cognitive radio concepts, including:
- Basic concepts of software defined radio (SDR) and cognitive radio (CR) and their relationship
- How cognitive radios are implemented through sensing, adaptation, and learning
- Regulatory issues and applications of cognitive radio for interoperability and spectrum access
- Current research challenges in SDR hardware, software architectures, and cognitive radio implementation
Cognitive radio is a type of wireless communication that senses its operational environment and can change its transmission parameters accordingly. It allows unlicensed users to access portions of the radio spectrum normally reserved for licensed users, provided they do not cause harmful interference. Key functions of cognitive radio include spectrum sensing, analysis, management and sharing to efficiently utilize available spectrum. It provides benefits like optimal diversity, improved spectrum efficiency and quality of service. However, issues like spectrum management and ensuring co-existence with other systems need to be addressed for cognitive radio to be effectively implemented. Potential applications include use in emergency communications and wireless regional area networks.
Oliver Holland - IEEE VTS UKRI - Energy efficiency challenges of data volume...Keith Nolan
Oliver Holland from King's College London talks about energy efficiency challenges of data volume increases and the use of sleep modes facilitated by opportunistic cognitive radio networking as a solution
Cognitive radio is a form of wireless communication that detects available channels in the radio spectrum and moves into vacant channels to avoid occupied ones. It senses its operational environment to detect unused spectrum and adjusts transmission parameters accordingly. This allows for more efficient use of the spectrum by taking advantage of spectrum white spaces. The cognitive cycle involves spectrum sensing, decision, sharing, and mobility. Cognitive radio networks apply these principles across network resources as well to optimize performance. Techniques like software-defined radio, machine learning, game theory, and cross-layer design help enable cognitive capabilities. Cognitive radio could help address increasing mobile data usage and be applied in 5G networks and new applications.
The document discusses the conceptual design and experimental setup of a Visible Light Communication system called VIDAS for transmitting traffic information to vehicles. VIDAS uses LED traffic lights to transmit data to onboard vehicle receivers via visible light modulation. Key components discussed include the multiple LED emitter source, PIN photodiode detector, front-end amplifier, direct sequence spread spectrum modulation, and considerations for noise and signal variation over distance. Experimental results showed VIDAS enabled reception of traffic information from 100m away and adaptation to changing signal strength as vehicles approached intersections.
This document discusses cognitive radio sensor networks (CRSN). It defines cognitive radio as a radio that is aware of its surroundings and adapts intelligently. A CRSN allows radios to dynamically tune to different frequencies and protocols based on environmental conditions to improve accessibility, adaptability, scalability, reliability and interconnectivity. The document outlines the CRSN mechanism of sense, analyze, decide and tune in using sensing and reconfigurable antennas. It compares cognitive radios to conventional radios, highlighting cognitive radios' ability to identify unused spectrum and adapt to interference. Benefits of CRSN include meeting FCC regulations and maximizing throughput. Applications of cognitive radio include compact wireless access points.
Cognitive radio network_MS_defense_presentationIffat Anjum
The document appears to be a student thesis that discusses medium access control (MAC) protocols for coexisting cognitive radio networks (CCRNs). It proposes a new distributed and quality of service aware MAC protocol called WF-MAC. WF-MAC aims to enable fair channel sharing among multiple CCRNs while maintaining QoS sensitivity and maximizing spectrum utilization. It achieves this through a two dimensional learning mechanism for channel selection based on perception and availability prediction.
The document provides an overview of cognitive radio networks and spectrum sharing. It discusses how cognitive radio allows for opportunistic and adaptive usage of spectrum. It defines primary and secondary users and describes the cognitive radio network architecture. It then covers spectrum sensing, management, mobility and sharing in cognitive radio systems. Game theory approaches to modeling spectrum sharing are also summarized.
Cognitive radio networks allow for secondary users to access unused licensed frequencies, known as spectrum holes. The document discusses the history and introduction of cognitive radio, characteristics including cognitive capability, reconfigurable capability, and self-organized capability. It then covers cognitive radio networks architecture including infrastructure-based, ad-hoc, and mesh architectures. It also discusses security issues, attacks on cognitive networks, applications, cognition techniques, and future research directions such as seamless spectrum handovers and proactive spectrum selection and interference avoidance.
Multi Channel Protocols In Cognitive Radio NetworksMuhammad Mustafa
Cognitive radio is a paradigm for wireless communication in which either a network or a wireless node changes its transmission or reception parameters to communicate efficiently avoiding interference with licensed or unlicensed users. This alteration of parameters is based on the active monitoring of several factors in the external and internal radio environment, such as radio frequency spectrum, user behaviour and network state. this presentation discusses main approaches and protocols of multichannel cognitive radio networks.
This document discusses cognitive radio and its radio frequency (RF) challenges. It begins by introducing dynamic spectrum access and the concept of cognitive radio as a way to opportunistically access unused licensed spectrum. It then discusses the key elements of cognitive radio systems, including spectrum sensing to detect unused spectrum and flexible waveforms. It focuses on the interweave approach where secondary users access spectral holes not in use by primary licensed users. Finally, it discusses some of the RF challenges in implementing cognitive radio, particularly wideband spectrum sensing to reliably detect primary user signals across frequency bands.
This document provides an introduction to wireless sensor networks. It describes a wireless sensor network as a network consisting of distributed sensors that monitor conditions like temperature, sound, and pollutants and pass data to a central location. Each sensor node contains a radio transceiver, microcontroller, sensor interface electronics, and a power source. The sensors form a multi-hop network to transmit data across long distances. Event-driven wireless sensor networks only transmit messages when events of interest occur to avoid overloading the network and wasting energy.
This document surveys the state of research on wireless multimedia sensor networks (WMSNs). It discusses how low-cost hardware like cameras and microphones has enabled the development of networks that can retrieve multimedia content like video and audio streams. The document outlines several applications of WMSNs, from surveillance to healthcare to environmental monitoring. It also discusses challenges in supporting quality of service for multimedia delivery over resource-constrained wireless sensor networks. Open research issues are explored at different layers of the communication protocol stack as well as opportunities for cross-layer optimization and in-network processing of multimedia content.
Wireless sensor networks are composed of nodes that communicate wirelessly and self-organize after deployment. Each node contains processing capability, memory, an RF transceiver and antenna, a power source, and sensors. Systems can include thousands or tens of thousands of nodes communicating to monitor environments. It is expected that within 10-15 years, wireless sensor networks will cover the world and connect to the Internet, making the Internet a physical network. Research in this area includes workshops and conferences each year focused on algorithms and protocols to maximize network lifetime while ensuring robustness, fault tolerance, and self-configuration.
A three-layer framework is proposed for mobile data collection in wireless sensor networks, which includes the sensor layer, cluster head layer, and mobile collector (called SenCar) layer. The framework employs distributed load balanced clustering and dual data uploading, which is referred to as LBC-MIMO. The objective is to achieve good scalability, long network lifetime and low data collection latency. At the sensor layer, a distributed load balanced clustering (LBC) algorithm is proposed for sensors to self-organize themselves into clusters. In contrast to existing clustering methods, our scheme generates multiple cluster heads in each cluster to balance the work load and facilitate dual data uploading. At the cluster head layer, the inter-cluster transmission range is carefully chosen to guarantee the connectivity among the clusters. Multiple cluster heads within a cluster cooperate with each other to perform energy-saving inter-cluster communications. Through inter-cluster transmissions, cluster head information is forwarded to SenCar for its moving trajectory planning. At the mobile collector layer, SenCar is equipped with two antennas, which enables two cluster heads to simultaneously upload data to SenCar in each time by utilizing multi-user multiple-input and multiple-output (MU-MIMO) technique. The trajectory planning for SenCar is optimized to fully utilize dual data uploading capability by properly selecting polling points in each cluster. By visiting each selected polling point, SenCar can efficiently gather data from cluster heads and transport the data to the static data sink. Extensive simulations are conducted to evaluate the effectiveness of the proposed LBC-MIMO scheme. The results show that when each cluster has at most two cluster heads, LBC-MIMO achieves over 50 percent energy saving per node and 60 percent energy saving on cluster heads comparing with data collection through multi-hop relay to the static data sink, and 20 percent shorter data collection time compared to traditional mobile data gathering.
This document provides an overview of wireless sensor networks, including their basic components, applications, and technical considerations. It discusses the key elements of sensor networks such as sensors, interconnecting networks, data clustering points, and computing resources. It also covers sensor types, network architectures, communication protocols, applications such as environmental monitoring and smart spaces, and challenges around power efficiency and scalability.
Vlite node – new sensors solution for farmingKarel Charvat
The document describes a new wireless sensor network technology called VLITE NODE that is being developed for use in agriculture. The technology uses long-range RFID sensors to create a wireless sensor network that can monitor agricultural fields and weather conditions over a large area. Existing wireless sensor network solutions have short working ranges of only a few tens of meters, making them expensive to implement over large fields. The VLITE NODE technology aims to address this issue by utilizing long-range RFID sensors that can communicate over greater distances and allow cost-effective monitoring of wide agricultural areas.
Wireless sensor networks are composed of densely deployed sensor nodes that can cooperatively monitor phenomena. The document outlines applications of sensor networks like environmental monitoring and health monitoring. It discusses factors influencing sensor network design such as fault tolerance, scalability, hardware constraints, and power consumption. It also describes the communication architecture of sensor networks including the physical, data link, network, transport, and application layers and open research issues at each layer.
A Hybrid Approach for Performance Enhancement of VANET using CSMA-MACA: a Reviewiosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
This document provides a review of approaches for enhancing the performance of vehicular ad hoc networks (VANETs) using CSMA-MACA. It begins with an introduction to VANETs and discusses some of their key properties including high dynamic topology, frequent disconnections, and the hidden terminal problem. The document then reviews related work on hybrid approaches combining CSMA and MACA for routing in VANETs. Finally, it provides details on commonly used routing protocols like AODV and discusses how accounting for obstacles in simulations can improve safety performance evaluations of VANET applications.
This document summarizes a research paper on medium access control (MAC) protocols for wireless sensor networks. It discusses how MAC protocols are needed to manage shared access to communication channels in wireless sensor networks and outlines some key characteristics and requirements for efficient MAC protocols, including energy efficiency, scalability, and supporting variable traffic loads. It then reviews some traditional MAC protocols, including time division multiple access (TDMA), frequency division multiple access (FDMA), and code division multiple access (CDMA). The full paper provides a more in-depth survey and comparison of schedule-based and contention-based MAC protocols designed specifically for wireless sensor networks.
The document discusses wireless sensor networks (WSNs). It describes WSNs as consisting of distributed sensors that monitor conditions like temperature, sound, and pressure and transmit data to a central location. Modern networks are bidirectional, enabling sensor control. WSNs were initially developed for military surveillance but are now used in industrial and consumer applications. They pose challenges in deployment, location tracking, coverage, and integration of different sensor types on a single platform. Advances in energy harvesting and self-organizing networks could enable millions of low-cost sensor nodes. WSNs have applications in intrusion detection, health monitoring, and location detection.
In this thesis work, firstly an attempt have been made to evaluate the performance of DSR and OLSR routing protocol in mobile and static environments using Random Waypoint model, and also investigate how well these selected protocols performs on WSNs. energy efficient routing in wireless sensor networks thesis
This document discusses underwater sensor networks. It begins by defining sensors and how machines use sensors like temperature, pressure, and light sensors to perceive the environment. It then discusses wireless sensor networks and key enabling technologies like MEMS, wireless communications, and digital electronics. The rest of the document discusses applications of underwater sensor networks, challenges in their design due to limitations of the underwater environment, how they differ from terrestrial networks, their components like sensors, autonomous underwater vehicles, and communication architectures. It also summarizes the protocol stack and discusses the physical, data link, network, transport and application layers in underwater sensor networks.
Wireless sensor networks (WSNs) consist of distributed sensor nodes that communicate wirelessly. Routing protocols for WSNs include flooding, gossiping, SPIN, and GEAR. Flooding broadcasts data to all neighbors while gossiping randomly selects neighbors, avoiding duplicated data. SPIN and GEAR use data negotiation and geographical information to route packets efficiently. Common networking technologies in WSNs are Bluetooth, ZigBee, UWB, and Wi-Fi, with each having advantages for different applications depending on data rates and power requirements. TinyOS and Contiki are lightweight operating systems used in WSNs. WSNs have a variety of applications including environmental monitoring, pollution monitoring, and detection of fires, landslides
it has a small description about how wireless sensor system network can be applied in various field. A application of leaksge detection is discussed in detail.
ENERGY EFFICIENT MULTIHOP QUALITY PATH BASED DATA COLLECTION IN WIRELESS SENS...Editor IJMTER
In recent years there has been an increased focus on the use of sensor networks to sense and measure
the environment. This leads to a wide variety of theoretical and practical issues on appropriate protocols for data
sensing and transfer. Recent work shows sink mobility can improve the energy efficiency in wireless sensor
networks (WSNs). However, data delivery latency often increases due to the speed limit of mobile sink. Most of
them exploit mobility to address the problem of data collection in WSNs. The WSNs with MS (mobile Sink) and
provide a comprehensive taxonomy of their architectures, based on the role of the MS. An overview of the data
collection process in such a scenario, and identify the corresponding issues and challenges. A protocol named
weighted rendezvous planning (WRP) which is a heuristic method that finds a near-optimal traveling tour that
minimizes the energy consumption of sensor nodes. Focus on the path selection problem in delay-guaranteed
sensor networks with a path-constrained mobile sink. Concentrate an efficient data collection scheme, which
simultaneously improves the total amount of data and reduces the energy consumption. The optimal path is chosen
to meet the requirement on delay as well as minimize the energy consumption of entire network. Predictable sink
mobility is exploited to improve energy efficiency of sensor networks.
This document provides an introduction to wireless sensor networks. It discusses how wireless sensor networks have emerged from advances in computing, communication, and sensing technologies that have allowed the development of low-cost, low-power sensor nodes. It describes typical applications of wireless sensor networks and highlights some of the key enabling technologies, including hardware components, wireless networking protocols, collaborative signal processing techniques, and the evolution of sensor node designs over time.
1. Wireless sensor networks consist of spatially distributed sensor nodes that can sense their environment, process data, and communicate wirelessly. They are useful for monitoring remote structures and environmental changes.
2. In a cluster-based wireless sensor network, sensor nodes are organized into clusters with a cluster head that collects data from nodes in its cluster and sends it to the base station. Identity-based cryptography is used where a node's public key is derived from its identity information like its ID number.
3. An identity-based online/offline digital signature scheme separates the signature generation process into an offline stage and online stage. The offline stage is pre-computed and the online stage combines it with the message for the final signature
The development of wireless technology currently allows extending the notion of mobility for access to
information and communication anywhere and anytime. With the emergence of sensor networks
(Traditional (WSN) and vehicular (VSN)), new themes have been opened and new challenges have emerged
to meet the needs of individuals and the requirements of several application areas. Research today is much
focused on vehicular sensor networks (VSN), considerable efforts have emerged to introduce intelligence
into transport systems whose aim is to improve safety, efficiency and usability in road transport. These
networks will play an important role in building the Future Internet, where they will serve as a support for
various communication applications and integrated into our daily lives. In this paper, we surveyed the main
characteristic and applications of two type of Ad hoc networks WSN and VSN.
Similar to Wireless multimedia sensor networking (20)
To detect network intrusions protects a computer network from unauthorized users, including perhaps insiders. The intrusion detector learning task is to build a predictive model (i.e. a classifier) capable of distinguishing between "bad" connections, called intrusions or attacks, and "good" normal connections
CGPA otherwise called Cumulative Grade Points. Average is the normal of Grade Points acquired in every one of the subjects secured till date. It is trusted that it gives a general knowledge into the level of devotion, truthfulness and diligent work put by the understudy.
However there might be where an understudy who is remarkable at programming may not appreciate other hypothetical subjects like programming testing. Notwithstanding, CGPA comes up short when such a situation comes into picture.
.net programming using asp.net to make web projectKedar Kumar
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4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
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A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
Wireless multimedia sensor networking
1. -
WIRELESS MULTIMEDIA SENSOR NETWORKS:
A SURVEY
SUBMITTED BY:KEDAR KUMAR
Abstract
The accessibility of ease equipment, for example, CMOS cameras and receivers
has encouraged the improvement of Wire-less Multimedia Sensor Networks
(WMSNs), i.e., systems of remotely interconnected gadgets that can pervasively
recover interactive media substance, for example, video and sound streams, still
pictures, and scalar sensor information fromthe earth. In this paper, the best in
class in calculations, conventions, and equipment for remote sight and sound
sensor systems is studied, and open research issues are talked about in detail.
Models for WMSNs are investigated, alongside their focal points and downsides.
As of now off-the-rack equipment and accessibleresearch models for WMSNs are
recorded and characterized. Existing arrangements and open research issues at
the application, transport, system, interface, and physicallayers of the
correspondenceconvention stack are explored, alongsideconceivable cross-layer
cooperative energies and enhancements
Introduction
Remote sensor systems (WSN) havedrawn theconsideration of the examination
group over the mostrecent couple of years, driven by an abundanceof
hypothetical and down to earth challenges. This developing interest can be to a
great extent credited to new applications empowered by huge scale systems of
2. little gadgets equipped for collecting data fromthe physicalcondition, performing
straightforward handling on the separated information and transmitting it to
remote areas. Huge outcomes around there throughoutthe most recent couple
of years haveintroduced a surgeof common and military applications. Starting
today, most conveyed remote sensor systems measurescalar physicalwonders
like temperature, weight, mugginess, or area of items. When all is said in done,
the greater part of the applications have low data transfer capacity requests, and
are typically defer tolerant.
APPLICATIONSOF WIRELESS MULTIMEDIA SENSOR
Systems Wireless media sensor systems can possibly empower numerous new
applications. These can be delegated takes after: Multimedia Surveillance Sensor
Networks. Observation sensorsystems willbe utilized to upgradeand supplement
existing reconnaissanceframeworks to counteractwrongdoing and fear based
oppressor assaults. Interactivemedia substance, for example, video streams and
still pictures, and additionally PC vision strategies, can be utilized to find missing
people, distinguish offenders or psychologicalmilitants, or induce and record
other conceivably important exercises (robberies, auto crashes, petty criminal
offenses). MovementAvoidance, Enforcement, and Control Systems. Itwillbe
conceivable to screen auto activity in enormous urban communities or on
roadways and convey administrations thatoffer movement steering guidance to
stay away fromblockage or recognize infringement. What's more, smartparking
exhortation frameworks in view of WMSNs will identify accessible parking spots
and give drivers computerized stopping counsel. Propelled Health Care Delivery.
Telemedicine sensor systems can beincorporated with third and fourth era
(3G/4G) cell systems to give pervasivehuman services administrations. Patients
will convey medicinal sensors to screen parameters, for example, body
temperature, circulatory strain, beat oximetry, ECG, and breathing movement.
Remote therapeutic focuses will screen the state of their patients to derive crisis
circumstances. Ecologicaland StructuralMonitoring. Varieties of video sensors as
of now are utilized by oceanographers to decide the advancement of sandbars
utilizing picture preparing systems. Video and imaging sensors likewiseare
utilized to screen the basic wellbeing of extensions or other common structures.
Mechanical Process Control. Media substance, for example, imaging,
temperature, or weight, can be utilized for time-basic, modern, handle control. In
3. robotized producing forms, the coordination of machine vision frameworks with
WMSNs can improveand add adaptability to frameworks for visualexaminations
and computerized activities
NETWORK ARCHITECTURE
We present a reference engineering for WMSNs, whereclients interface through
the Internetand issueinquiries to a conveyed sensor arrange. Theusefulness of
the differentsystemsegments are compressed in a base up way in the
accompanying rundown:
STANDARD VIDEO AND AUDIOSENSORS:Thesesensors catch sound, still, or
moving pictures of the detected occasion and are normally of low determination
(regarding pixel/inch for the video sensors and in dB for the sound sensors). They
can be organized in a solitary level system, as appeared in the main cloud (Fig. 1),
or in progressiveway, as appeared in the third cloud.
4. Scalar Sensors:Thesesensors sensescalar information and physicaltraits, for
example, temperature, weight, and stickiness and reportmeasured qualities to
their clusterhead. They are ordinarily asset obliged gadgets as far as vitality
supply, stockpiling limit, and handling capacity. Reference design of a remote
sight and sound sensor arrange: a) solitary level, homogeneous sensors,
disseminated preparing, incorporated capacity; b) single-level grouped,
heterogeneous sensors, concentrated handling, broughttogether capacity; c)
multitier, heterogeneous sensors, appropriated preparing, circulated capacity.
Media preparing center point Legend Video sensor Audio sensor High end video
sensor Scalar sensor Wireless passageStoragecenter point Sink Wired connection
(a) (b) (c) IP-based systemIP-less systemInternetUsers In mechanized assembling
forms, the joining of machine vision frameworks with WMSNs can disentangle
and add adaptability to frameworks for visualreviews and computerized
activities.
Multimedia Processing Hubs. Thesedevices have comparatively large
computational resources and are suitable for aggregating multimedia streams
fromthe individual sensor nodes. They are integral to reducing both the
dimensionality and the volume of data conveyed to the sink and storagedevices.
StorageHubs. Depending upon the application, the multimedia stream is desired
in real time or after further processing. Thesestoragehubs allow data-mining and
feature-extraction algorithms to identify the important characteristics of the
event, even before the data is sent to the end user.
Sink:The sink is responsiblefor packaging high level user queries to network
specific directives and returning filtered portions of the multimedia stream back
to the user. Multiple sinks may be required in a large or heterogeneous network.
Gateway:This fills in as the last mile network by connecting the sink to the
Internetand is likewise the main IP-addressablepartof the WMSN. Itkeeps up a
geological gauge of the zonesecured under its detecting systemto designate
assignments to the fitting sinks that forward detected information through it.
Clients. Clients are the most noteworthy end of the chain of importanceand issue
checking errands to the WMSNin view of land districts of intrigue. They are
commonly distinguished through their IP addresses and run application-level
5. programming that doles out questions and shows comes aboutgotten fromthe
WMSN.
PHYSICAL LAYER
Among other promising advancements, the UWB innovation [5] can possibly
empower low power utilization, high, information rate correspondenceinside
severalmeters. There exist a few variations of UWB. Time-bouncing motivation
radio UWB (TH-IR-UWB) depends on sending beats of brief term (on the request
of severalpicoseconds) to pass on data. Time is separated into casings, each of
which is made out of a few chips of brief length. Every sender transmits one
heartbeat in a chip for every edge just, and multi-client get to is given by pseudo
irregular time jumping arrangements (THS) that decide in which chip every client
ought to transmit.SimpleTH-IR-UWBframeworks can beexceptionally modestto
develop. TH-IR-UWBis especially engaging for WMSNs for a few reasons. To begin
with, TH-IR-UWBempowers high information rate, low-control, carrierless
correspondenceon straightforward plan, easeradios. Besides, it gives a huge
preparing pick up within the sight of interference,and it is adaptable, on the
grounds that information rate can be exchanged for power otherworldly thickness
and multipath execution. Imperatively, the driveradio innovation actually
considers coordinated medium get to control/physical(MAC/PHY) layer
arrangements, sinceobstruction relief strategies permit acknowledging MAC
conventions that don't require shared, worldly avoidancebetween various
transmitters . Henceforth, synchronousof neighboring gadgets are plausible
without complex collectors. Besides, the extensive momentary data transmission
empowers fine time determination for exact position estimation and for system
synchronization. Atlast, UWB signals have greatly low-controlphantomthickness,
with low likelihood of capture/identification (LPI/D), which is especially engaging
for secret military operations. In spite of the fact that the UWB transmission
innovation is progressing quickly, many difficulties must be understood to
empower multi bounce systems of UWB gadgets. Albeit somecurrent endeavors
have been attempted toward this path ,the best approach to productively share
the medium in UWB multi jump systems is as yet an open issue. Research is
6. require daimed at planning a cross-layer correspondencedesign in light of UWB
to bolster QoS in WMSNs and at ensuring provableinertness furthermore,
throughputlimits to interactive media streams in a UWB domain.
MAC LAYER
The two main functions of the MAC layer are arbitration of the channel and
providing error controland recovery schemes. There are several approaches for
Types of
class
Types of
data
bandwith Detailed information
Real-time,
loss tolerant
Multimedia high Multilevel streams composed of video/audio and
other scalar data (e.g.,temperature readings), as
well as metadata associated with the stream,that
need to reach the user in real time
Delay-
tolerant,
loss-
tolerant
Multimedia high Streams intended for storageor subsequent
offline processing that
need to be delivered quickly due to the
limited buffers of multimedia sensors
Real-time,
loss-
tolerant
Data moderate Monitoring data from densely deployed scalar
sensors characterized by
spatial correlation or loss-tolerant snapshot
multimedia data (e.g.,
images of a phenomenon taken from multiple
viewpoints at the same
time)
Real-time,
loss-
tolerant
Data moderate Data from time-critical monitoring processes such as
distributed control applications
Delay-
tolerant,
loss-
intolerant
Data moderate Data from monitoring processes that require some
form of offline post
processing
Delay-
tolerant,
loss-
intolerant
Data Low Environmental data from scalar sensor networks
or non-time-critical
snapshot multimedia content
7. regulating the channel access based on contention, and weadvocate the useof
contention-free protocols for WMSNs. We also delve into the factors influencing
the choice .
LINK-LAYERERRORCONTROL
The inalienable trickiness of the remote channel, combined with a low-outline
misfortunerate necessity of the requestof 10–2 for good quality video,.
Movement classes.Class sortData sortBandwidth DescriptionReal-time,
misfortunetolerant Multimedia High Multilevel streams made out of video/sound
and other scalar information (e.g., temperature readings), also asmetadata
related with the stream,that need to achieve the client progressively Delay-
tolerant, misfortunetolerant Multimedia High Streams expected for capacity or
ensuing disconnected handling that should be conveyed rapidly because of the
constrained cradles of mixed media sensors Real-time, misfortunetolerant Data
Moderate Monitoring information fromthickly sent scalar sensors portrayed by
spatial connection or misfortunetolerant preview interactive media information
(e.g., pictures of a wonder taken fromvarious perspectives in the meantime)
Real-time, misfortunetolerant Data Moderate Data fromtime-basic observing
procedures, for example, appropriated control applications .Delay-tolerant,
misfortunebigoted Data Moderate Data fromobserving procedures thatrequire
some type of disconnected postProcessing Delay-tolerant, misfortunetolerant
Data Low Environmental information fromscalar sensor systems or non-time-
basic preview sightand sound substanceof components are customarily utilized
to battle the lack of quality of the remote channel at the physicaland information
interface layer, specifically forward mistakerectification (FEC) and programmed
rehash ask for (ARQ), alongsidecrossover plans. Applying distinctivedegrees of
FEC to diverseparts of the video stream, contingent upon their relative
significance (unequalassurance) permits a shifting overhead on the transmitted
parcels. ARQ instruments, on the other hand,usedata transmission proficiently at
the costof extra idleness required with the re-transmission prepare.
Late examinations made amongstARQ and FEC uncover that for certain FEC
squarecodes (BCH), longer courses diminish both the vitality utilization and the
end-to-end dormancy, subjectto an objective parcel blunder rate contrasted with
8. ARQ. In this manner, FEC codes are a vital competitor for delay-sensitivetraffic in
WSNs.
NETWORK LAYER
A few outline contemplations of customary WSNdirecting, for example, vitality
streamlining, connect quality, and multipath and adaptation to non-critical failure,
among others additionally are relevant for WMSNs. Be that as it may, we
concentrate our discourseon the essential systemlayer usefulness of sightand
sound steering. We characterize this further in view of:
• Architecturaland spatial attributes
11. APPLICATIONLAYER
In this section, we overview challenges and functionality at the application layer
with respect to the different traffic classes that may be seen in a typical WMSN
application.
MULTIMEDIA ENCODING TECHNIQUES
The main design objectives of a coder for WMSNs are:
• High compression efficiency. Itis mandatory to achieve a high ratio of
compression to effectively limit bandwidth and energy consumption.
• Low complexity. Multimedia encoders are embedded in sensor devices. Hence,
they must be of low complexity to reduce costand form factors and of low-power
to prolong the lifetime of sensor nodes.
• Error resiliency. The sourcecoder should provide robustand error-resilient
coding of sourcedata.
12. CONCLUSIONS
We talked about the cutting edge of research on WMSNs and sketched out the
primary research challenges.We examined existing arrangements and open
research issues at the physical, connect, system, transport, and application layers of
the correspondencestack. Specifically, we trust that current work embraced in
Wyner-Ziv coding atthe application layer, the utilizing of spatial fleeting parts of
interactive media detecting in planning steering and transport layer solutions,MAC
conventions that give connect dormancy limits, and UWB innovation, among
others, appear to be the most encouraging examination headings in creating useful
WMSNs.
Refrences:
http://ieeexplore.ieee.org.sci-hub.cc/xpl/articleDetails.jsp?arnumber=4407225
https://bwn.ece.gatech.edu/surveys/multimedia.pdf
https://www.google.co.in/search?client=firefox-b-
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ss+multimedia+sensor+networks%3A+A+survey+IEEE&gs_l=serp.3...13856.
http://dl.acm.org/citation.cfm?id=1223794