Moscow october 4
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1. D.P. Electronic Systems develops adaptive antenna technologies for security applications like perimeter protection. 2. Their smart antenna systems can manage multiple sensors like cameras across wide areas using beamforming and switching between sectors and beams. 3. They have implemented these adaptive antenna networks to provide security and connectivity for areas like cities, airports, and industrial sites.
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Intro to wireless sensor network
Introduction
Differences with ad hoc networks
Applications
Characteristics
Challenges
Future
Motes
Hardware Setup Overview
UWB precision location system
UWB is RTLS (Real Time Location System)
* It is one of the most recent location technologies
* It is extremely precise 10-30cm.
* Tags are quite expensive
* It’s a technology that works well in “empty” environments, without people or assets moving around. Interference can play an important role and significantly affect the accuracy.
Seminar
This document discusses the application of wireless sensor networks in robotics using swarm intelligence. It describes how wireless sensor networks and swarm robotics work, including their structures, architectures, challenges, and popular algorithms like ant colony optimization that are inspired by social insects. Examples of applications for swarm robotics include obstacle avoidance, materials transport, and search and rescue missions. The document concludes that designing efficient and scalable wireless sensor networks for real-world swarm robotics applications remains a challenging area of research.
Intro to wsn
This document provides an introduction to wireless sensor networks. It discusses the differences between wireless sensor networks and ad hoc networks, and describes some key applications including monitoring of areas, objects, and interactions. It outlines the characteristics of wireless sensor networks including constraints of sensors like limited power and computational ability. The document also discusses design challenges, enabling technologies, and the future of wireless sensor networks. It provides examples of sensor network hardware including motes, sensor boards, and programming boards.
introduction to wireless sensor network
Wireless sensor networks are distributed sensor nodes that communicate wirelessly to monitor environmental conditions like temperature, sound, and pressure. They work cooperatively to pass data through the network and can be used for applications like forest fire detection, healthcare monitoring, and pollution monitoring. Each sensor node has components like a radio transceiver, a microcontroller, an electronic circuit for interfacing with sensors and an energy source. They provide advantages over wired networks like easy installation and accommodation of new devices but also have disadvantages like lower speed, complex configuration and sensitivity to surroundings.
WIRELESS SENSOR NETWORKS
With the popularity of laptops, cell phones, PDAs, GPS devices, RFID, and intelligent electronics in the post-PC era, computing devices have become cheaper, more mobile, more distributed, and more pervasive in daily life. It is now possible to construct, from commercial off-the-shelf (COTS) components, a wallet size embedded system with the equivalent capability of a 90’s PC. Such embedded systems can be supported with scaled down Windows or Linux operating systems. From this perspective, the emergence of wireless sensor networks (WSNs) is essentially the latest trend of Moore’s Law toward the miniaturization and ubiquity of computing devices. Typically, a wireless sensor node (or simply sensor node) consists of sensing, computing, communication, actuation, and power components. These components are integrated on a single or multiple boards, and packaged in a few cubic inches. With state-of-the-art, low-power circuit and networking technologies, a sensor node powered by 2 AA batteries can last for up to three years with a 1% low duty cycle working mode. A WSN usually consists of tens to thousands of such nodes that communicate through wireless channels for information sharing and cooperative processing. WSNs can be deployed on a global scale for environmental monitoring and habitat study, over a battle field for military surveillance and reconnaissance, in emergent environments for search and rescue, in factories for condition based maintenance, in buildings for infrastructure health monitoring, in homes to realize smart homes, or even in bodies for patient monitoring [60; 76; 124; 142]. After the initial deployment (typically ad hoc), sensor nodes are responsible for self-organizing an appropriate network infrastructure, often with multi-hop connections between sensor nodes. The onboard sensors then start collecting acoustic, seismic, infrared or magnetic information about the environment, using either continuous or event driven working modes. Location and positioning information can also be obtained through the global positioning system (GPS) or local positioning algorithms. This information can be gathered from across the network and appropriately processed to construct a global view of the monitoring phenomena or objects. The basic philosophy behind WSNs is that, while the capability of each individual sensor node is limited, the aggregate power of the entire network is sufficient for the required mission. In a typical scenario, users can retrieve information of interest
from a WSN by injecting queries and gathering results from the so-called base stations (or sink nodes), which behave as an interface between users and the network. In this way, WSNs can be considered as a distributed database. It is also envisioned that sensor networks will ultimately be connected to the Internet, through which global information sharing becomes feasible. The era of WSNs is highly anticipated in the near future. In September 1999, WSNs w
wirelss sensor network
This document summarizes wireless sensor networks and motes. It discusses that motes are low-cost, low-power computers that monitor sensors and communicate wirelessly. Wireless sensor networks are formed from many motes that pass data along to each other. Example applications of wireless sensor networks include habitat monitoring, fire detection, and preventative maintenance. The document also discusses TinyOS, an open-source operating system for sensor networks, and some contributions to wireless sensor networks from the Dialog Lab, including developing a mote clone and researching data mules to extend network connectivity.
Abstract sensor networks
This 3 sentence summary provides the high level and essential information from the document:
Sensor network technologies have advanced, enabling low-cost, low-power sensor nodes to collaborate over ad hoc wireless networks, collectively sensing their environment, processing and sharing data to actively create smart environments with anytime, anywhere access to information.
Recommended
Intro to wireless sensor network
Introduction
Differences with ad hoc networks
Applications
Characteristics
Challenges
Future
Motes
Hardware Setup Overview
UWB precision location system
UWB is RTLS (Real Time Location System)
* It is one of the most recent location technologies
* It is extremely precise 10-30cm.
* Tags are quite expensive
* It’s a technology that works well in “empty” environments, without people or assets moving around. Interference can play an important role and significantly affect the accuracy.
Seminar
This document discusses the application of wireless sensor networks in robotics using swarm intelligence. It describes how wireless sensor networks and swarm robotics work, including their structures, architectures, challenges, and popular algorithms like ant colony optimization that are inspired by social insects. Examples of applications for swarm robotics include obstacle avoidance, materials transport, and search and rescue missions. The document concludes that designing efficient and scalable wireless sensor networks for real-world swarm robotics applications remains a challenging area of research.
Intro to wsn
This document provides an introduction to wireless sensor networks. It discusses the differences between wireless sensor networks and ad hoc networks, and describes some key applications including monitoring of areas, objects, and interactions. It outlines the characteristics of wireless sensor networks including constraints of sensors like limited power and computational ability. The document also discusses design challenges, enabling technologies, and the future of wireless sensor networks. It provides examples of sensor network hardware including motes, sensor boards, and programming boards.
introduction to wireless sensor network
Wireless sensor networks are distributed sensor nodes that communicate wirelessly to monitor environmental conditions like temperature, sound, and pressure. They work cooperatively to pass data through the network and can be used for applications like forest fire detection, healthcare monitoring, and pollution monitoring. Each sensor node has components like a radio transceiver, a microcontroller, an electronic circuit for interfacing with sensors and an energy source. They provide advantages over wired networks like easy installation and accommodation of new devices but also have disadvantages like lower speed, complex configuration and sensitivity to surroundings.
WIRELESS SENSOR NETWORKS
With the popularity of laptops, cell phones, PDAs, GPS devices, RFID, and intelligent electronics in the post-PC era, computing devices have become cheaper, more mobile, more distributed, and more pervasive in daily life. It is now possible to construct, from commercial off-the-shelf (COTS) components, a wallet size embedded system with the equivalent capability of a 90’s PC. Such embedded systems can be supported with scaled down Windows or Linux operating systems. From this perspective, the emergence of wireless sensor networks (WSNs) is essentially the latest trend of Moore’s Law toward the miniaturization and ubiquity of computing devices. Typically, a wireless sensor node (or simply sensor node) consists of sensing, computing, communication, actuation, and power components. These components are integrated on a single or multiple boards, and packaged in a few cubic inches. With state-of-the-art, low-power circuit and networking technologies, a sensor node powered by 2 AA batteries can last for up to three years with a 1% low duty cycle working mode. A WSN usually consists of tens to thousands of such nodes that communicate through wireless channels for information sharing and cooperative processing. WSNs can be deployed on a global scale for environmental monitoring and habitat study, over a battle field for military surveillance and reconnaissance, in emergent environments for search and rescue, in factories for condition based maintenance, in buildings for infrastructure health monitoring, in homes to realize smart homes, or even in bodies for patient monitoring [60; 76; 124; 142]. After the initial deployment (typically ad hoc), sensor nodes are responsible for self-organizing an appropriate network infrastructure, often with multi-hop connections between sensor nodes. The onboard sensors then start collecting acoustic, seismic, infrared or magnetic information about the environment, using either continuous or event driven working modes. Location and positioning information can also be obtained through the global positioning system (GPS) or local positioning algorithms. This information can be gathered from across the network and appropriately processed to construct a global view of the monitoring phenomena or objects. The basic philosophy behind WSNs is that, while the capability of each individual sensor node is limited, the aggregate power of the entire network is sufficient for the required mission. In a typical scenario, users can retrieve information of interest
from a WSN by injecting queries and gathering results from the so-called base stations (or sink nodes), which behave as an interface between users and the network. In this way, WSNs can be considered as a distributed database. It is also envisioned that sensor networks will ultimately be connected to the Internet, through which global information sharing becomes feasible. The era of WSNs is highly anticipated in the near future. In September 1999, WSNs w
wirelss sensor network
This document summarizes wireless sensor networks and motes. It discusses that motes are low-cost, low-power computers that monitor sensors and communicate wirelessly. Wireless sensor networks are formed from many motes that pass data along to each other. Example applications of wireless sensor networks include habitat monitoring, fire detection, and preventative maintenance. The document also discusses TinyOS, an open-source operating system for sensor networks, and some contributions to wireless sensor networks from the Dialog Lab, including developing a mote clone and researching data mules to extend network connectivity.
Abstract sensor networks
This 3 sentence summary provides the high level and essential information from the document:
Sensor network technologies have advanced, enabling low-cost, low-power sensor nodes to collaborate over ad hoc wireless networks, collectively sensing their environment, processing and sharing data to actively create smart environments with anytime, anywhere access to information.
CERTIFICATELESS SCHEME BASED NTRU CRYPTOSYSTEM FOR AD-HOC UWB-IR NETWORK
From the radar and military research world’s, the Ultra Wide Band Impulse Radio (UWB-IR) was adopted in the telecommunications world in the 1990’. Currently, the UWB-IR technology is an interesting candidate for close range Wireless Sensors Networks (WSNs). It is particularly attractive for industrial sensor networks due to its resilience to multipath interference, simple transceiver circuitry, accurate ranging ability, and low transmission power. In order to secure data and communications in the Ad-Hoc UWB-IR networks, UWB-IR requires suitable encryption protocols. In this paper, we review and summarize the IEEE 802.15.4 security sub-layer protocol of UWB-IR based Symmetric Key Cryptography scheme. Then, we highlight the different vulnerabilities and weaknesses present in this type of scheme. Finally, we prove, after a deep examination of multiple Public Key Cryptography (PKC) schemes, that the certificateless one is the most suitable for Ad-Hoc UWB-IR networks characterized by nodes mobility. Indeed, we have also evaluated and analyzed the different public key cryptosystems (PKCS) and concluded that NTRU is the most optimum public
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The 5G technology will become a successor of the 4G technology in the coming years. In the
academic environment, the scientific literature is exploding, and the publications refer to several
topics such as 5G mobile communication, cellular radio, MIMO communication and telephone
traffic.
The papers included in this study discuss about network slicing architecture for integrated 5G
communications, hybrid antenna modules for 28 GHz 5G beam-steering cellular devices and
28GHz-band highly integrated GaAs RF frontend module for massive MIMO in 5G.
Among the academic authors, there are EURECOM, Université de Versailles, Universität Karlsruhe, Jagiellonian university in Krakow and Mitsubishi Electric.
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Wireless sensor networks 2016-2017 titles
Shakas Technologies Provides, 2016-2017 Project titles, Real time project titles, IEEE Project Titles 2016-2017, NON-IEEE Project Titles, Latest project titles 2016, MCA Project titles, Final Year Project titles 2016-2017..
Contact As:
Shakas Technologies
#13/19, 1st Floor, Municipal Colony,
Kangeyanellore Road, Gandhi Nagar,
Vellore-632006,
Cell: 9500218218
Mobile: 0416-2247353 / 6066663
Elec6076 wireless sensor networks
A wireless sensor network consists of various wireless nodes that communicate with base stations via radio links to form an ad-hoc network. Each node contains sensors to measure conditions, a microcontroller to manage data collection and power, and a radio to communicate with other nodes. Nodes can use star, mesh, or hybrid networks to relay data to base stations. Standards like Zigbee are designed for wireless sensor networks and allow for low power communication and networking. Wireless sensor networks have applications in environmental monitoring, industrial monitoring, smart homes, and other areas where distributed sensing is needed.
Wireless Sensor Networks
Wireless sensor networks consist of distributed autonomous sensors that monitor physical or environmental conditions. Sensor nodes gather data and transmit it to a central location. Wireless sensor networks have applications in fields like military surveillance, environmental monitoring, healthcare, home automation, and traffic control. The design of wireless sensor networks is influenced by factors like fault tolerance, scalability, hardware constraints, topology, and power consumption.
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key cryptosystem to be used with the certificateless scheme in order to secure data and communications in Ad-Hoc UWB-IR Networks. This is due to the fact that it is the fastest PKCS to provide different security levels at a high speed with very constrained resources.
Scientific publications 5G
The 5G technology will become a successor of the 4G technology in the coming years. In the
academic environment, the scientific literature is exploding, and the publications refer to several
topics such as 5G mobile communication, cellular radio, MIMO communication and telephone
traffic.
The papers included in this study discuss about network slicing architecture for integrated 5G
communications, hybrid antenna modules for 28 GHz 5G beam-steering cellular devices and
28GHz-band highly integrated GaAs RF frontend module for massive MIMO in 5G.
Among the academic authors, there are EURECOM, Université de Versailles, Universität Karlsruhe, Jagiellonian university in Krakow and Mitsubishi Electric.
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Wireless sensor networks 2016-2017 titles
Shakas Technologies Provides, 2016-2017 Project titles, Real time project titles, IEEE Project Titles 2016-2017, NON-IEEE Project Titles, Latest project titles 2016, MCA Project titles, Final Year Project titles 2016-2017..
Contact As:
Shakas Technologies
#13/19, 1st Floor, Municipal Colony,
Kangeyanellore Road, Gandhi Nagar,
Vellore-632006,
Cell: 9500218218
Mobile: 0416-2247353 / 6066663
Elec6076 wireless sensor networks
A wireless sensor network consists of various wireless nodes that communicate with base stations via radio links to form an ad-hoc network. Each node contains sensors to measure conditions, a microcontroller to manage data collection and power, and a radio to communicate with other nodes. Nodes can use star, mesh, or hybrid networks to relay data to base stations. Standards like Zigbee are designed for wireless sensor networks and allow for low power communication and networking. Wireless sensor networks have applications in environmental monitoring, industrial monitoring, smart homes, and other areas where distributed sensing is needed.
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Abs smartdust network for tactical border surveillance system to detect, clas...
Thousands of small, wireless sensor nodes called "smartdust" could be deployed along borders to detect, classify, and track enemy intrusions. Each smartdust mote contains multiple sensors to detect vibrations, magnetic signals, acoustic sounds, and thermal signatures that can identify vehicles, weapons, and individuals. The smartdust motes form a self-organizing wireless network to communicate intrusion data to a central monitoring node for display. This smartdust network provides an innovative solution for continuously monitoring large, complex border areas that cannot be effectively surveilled by other means.
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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.
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This powerpoint generally defines Wireless Sensor Networks, the advantages, disadvantages and the general types.
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Wireless sensor networks
Wireless sensor networks (WSN) allow for the collection and transmission of data from various sensors distributed across an area. A WSN consists of sensor nodes that communicate wirelessly to monitor things like environmental conditions, industrial processes, and infrastructure. They have advantages like low cost, easy deployment, long-term operation, fault tolerance, and wide applicability. LINTECH develops both the hardware and software for WSN, using standards like Zigbee, to enable monitoring in various fields such as utilities, transportation, construction, healthcare, and more. WSN provide a cost-effective solution for distributed data collection and monitoring across many industries.
A0550110
The document describes a proposed smartdust network system for tactical border surveillance using multiple sensor signatures. The system consists of two smartdust sensor motes equipped with seismic, magnetic, acoustic, and thermal sensors and a central monitoring mote. The smartdust motes are designed using an ARM microcontroller, IEEE 802.15.4 radio transceiver, and various MEMS sensors. They form an ad-hoc wireless network to detect intrusions based on sensor signatures and relay information to the central monitoring mote. The central mote also displays the intrusion tracking history. The system is intended to address limitations of existing border surveillance methods like aircraft, armed forces, and ground RADAR systems by providing a low-cost, low
Ieeepro techno solutions ieee 2013 embedded project smartdust network for...
The document describes a proposed smartdust network system for tactical border surveillance using multiple sensor signatures. The system consists of two smartdust sensor motes equipped with seismic, magnetic, acoustic, and thermal sensors and a central monitoring mote. The smartdust motes are designed using an ARM microcontroller, IEEE 802.15.4 radio transceiver, and various MEMS sensors. They form an ad-hoc wireless network to detect intrusions based on sensor signatures and relay information to the central monitoring mote. The central mote also displays the intrusion tracking history. The system aims to provide an effective low-cost solution for monitoring large border areas with minimal infrastructure.
Ieeepro techno solutions ieee 2013 embedded project smartdust network for...
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Smartdust Network for Tactical Border Surveillance Using Multiple Signatures
The paper aims at designing a system for border surveillance using the concept of smartdust
technology. Smartdusts are small dust like wireless sensor motes with multiple on-board sensors and
microcontroller. In real time, thousands of such smartdust motes must be deployed in a large area. The motes
can form a network among them and has wireless connection to outside world. Onboard hardware include a
variety of sensors for vibration/seismic, magnetic, acoustic and thermal signature recognition, a
microcontroller for processing these sensor values and a radio transceiver for communication over a wireless
network. In this experimental project, we have designed one central monitoring mote and two smartdust motes
using ARM controller, IEEE radio transceiver and sensors.The central monitoring mote also displays the
tracking history of intrusion on enabling a switch
Smartdust Network for Tactical Border Surveillance Using Multiple Signatures
Abstract: The paper aims at designing a system for border surveillance using the concept of smartdust
technology. Smartdusts are small dust like wireless sensor motes with multiple on-board sensors and
microcontroller. In real time, thousands of such smartdust motes must be deployed in a large area. The motes
can form a network among them and has wireless connection to outside world. Onboard hardware include a
variety of sensors for vibration/seismic, magnetic, acoustic and thermal signature recognition, a
microcontroller for processing these sensor values and a radio transceiver for communication over a wireless
network. In this experimental project, we have designed one central monitoring mote and two smartdust motes
using ARM controller, IEEE radio transceiver and sensors.The central monitoring mote also displays the
tracking history of intrusion on enabling a switch.
Keywords:Advanced RISC Machine (ARM), Cortex microcontroller software interface standard (CMSIS), Inter
Integrated Circuit (I2C), MEMS accelerometer, Serial Peripheral Interface (SPI),Smartdust mote.
RF AND MICROWAVE-1.pptx
1) The document discusses the study of patch MIMO antennas, specifically spatch MIMO antennas, for various applications including wireless communication, satellite communication, radar systems, and IoT devices. Spatch MIMO antennas are compact and low-profile antennas that can improve the capacity and performance of wireless systems.
2) Literature on spatch MIMO antenna designs for 5G wireless communication, Wi-Fi systems, and satellite communication are reviewed. Simulation software such as CST and HFSS are used to design and analyze antenna performance.
3) Potential applications of spatch MIMO antennas in areas such as wireless communication, satellite communication, radar systems, IoT devices, and medical applications are described. Spatch M
Wirless Parsonal Area Networks.ppt
WPAN technologies like Bluetooth, Zigbee, and WiFi enable wireless connectivity between devices within short ranges of up to 100 meters. Bluetooth is commonly used to connect devices like headphones, mice, and keyboards. Zigbee is optimized for low data rate, long battery life applications like home automation and sensor networks. Newer technologies like Ultra Wideband provide very high data rates over short ranges. RFID and NFC use radio waves to wirelessly transfer data between tags and readers, with applications in supply chain management, contactless payments, and data sharing between devices.
5G antenna-Technology
This document discusses 5G antenna technology for user devices. It provides an overview of cellular communication evolution, mobile phone evolution, and mobile antenna evolution. It then discusses 5G introductions, applications, frequency coverage, antenna requirements, and MIMO and massive MIMO technologies as they relate to 5G. Key points covered include the need for antennas to cover low to high frequency bands for 5G, isolation and interference challenges for multi-antenna designs, and using massive MIMO arrays and beamforming to improve throughput.
Design and development broadband monopole antenna for in-door application
This paper describes the broadband monopole antenna refers to a signal
wideband of the frequencies, which can be divided the signal into channels of
the frequency bins. Aim this paper to design and development broadband
monopole antenna. The monopole antenna was designed by adding slot to
the radiated patch antenna with a single feed line, which reduced the size and
the design complexity. A rectangular patch antenna was presented using feed
line to decrease the ground plane with a suitable gap distance. The broadband
monopole antenna was designed with a frequency range of 800 MHz – 3 GHz,
with Bandwidth 0.66 (dB), reflection coefficients and return loss.
The frequency-dependent characteristic impedance was included. It can be
used in various broadband applications in used commercially for various
communication systems such as 4G (LTE), WiMAX and WLAN (LTE),
remote sensing, biomedical, and mobile wireless. Apart from that, this
technology is environment-friendly; an antenna which consists of reception
and transmission. The antenna is simulated by using computer simulation
(CST) software; using FR-4 substrate of 4.4 permittivity thickness 1.6 mm and
loss tangent of 0.025. The measurement result is accepted with simulation
result, proving the acceptable broadband operation for this proposed structure.
Smart antennas in ad hoc networks
Smart antennas can help overcome problems in ad-hoc networks by increasing efficiency. Using a two-lobe antenna pattern addresses hidden terminal problems from nodes not receiving RTS/CTS frames by keeping them silent. It also uses an additional antenna lobe to cover potential interference in opposite directions. For asymmetry in gain issues, increasing antenna gain ensures nodes in forbidden zones can receive RTS/CTS frames. The paper concludes smart antennas can enhance ad-hoc network performance by providing a greater combined gain than individual techniques.
bindu-IJBER.pdf
This document provides an introduction to smart antenna systems. It discusses that smart antennas use antenna arrays and signal processing to identify spatial signatures of signals. The main advantages of smart antennas are reduced power usage, less interference, and increased capacity and signal quality. Smart antennas can estimate the direction of arrival of signals, perform beamforming to maximize signal strength in certain directions, and minimize it in other directions. The document categorizes smart antenna systems as switched beam and adaptive array and discusses their functions and types including SIMO, MISO and MIMO configurations. It explains how smart antennas work by forming lobes to enhance signals from intended users and nulls to reduce interference from other directions.
22276455 wireless-geophones
This document discusses the use of wireless sensor networks and data mining for agricultural applications. It begins by defining wireless geophones and describing how wireless sensor networks work. It then discusses several existing wireless sensor network technologies that could be used for applications like seismic imaging, environmental monitoring, and detecting landslides. Specific applications discussed include monitoring soil conditions, contaminant transport, ecosystem processes, and detecting the location of slip surfaces during landslides. The document emphasizes how wireless underground sensor networks allow more detailed and targeted monitoring of fields and soils compared to existing wired solutions.
Implementation of Wireless Communication using Adaptive Beamforming of Smart ...
Abstract : As the growing demand for mobile communications is constantly increasing, the need for better coverage, improved capacity, and higher transmission quality rises. Thus, a more efficient use of the radio spectrum is required. A smart antenna system is capable of efficiently utilizing the radio spectrum and is an effective solution to the present wireless system problems while achieving reliable and robust high-speed, high-data-rate transmission. Smart antenna technology offer significantly improved solution to reduce interference level and improve system capacity. Smart antenna technology attempts to address this problem via advanced signal processing technology called beamforming. Adaptive beamforming is used for enhancing a desired signal while suppressing noise and interference at the output of an array of sensors. , in this paper work, a robust adaptive beamforming algorithm using smart antenna base station system, is to investigated its performance in presence of multipath components and multiple users .The capability of smart antenna and adaptive antenna easily employable to cognitive radio and OFDM system. Keywords - Smart/adaptive antenna, beamforming, DSP, OFDM
Design and optimize microstrip patch antenna array using the active element p...
Microstrip patch antennas are widely used in modern day communication devices due to their light weight, low cost and ease of fabrication. In this paper, we have designed and fabricated two Microstrip Patch Antennas (slotted-ring and truncated-slotted ring) and array at 2.4 GHz for Wireless Local Area Network (WLAN) applications using Computer Simulation Technology, CST. The antenna design consists of rectangular radiating patch on Rogers RT5880 substrate and is excited by using coaxial probe feeding technique. The truncated-slotted ring has been designed on top of the radiating patch to improve bandwidth. The simulation and measurement results of the both antennas are in close agreement with each other. Due to the good agreement of simulation and measurement results of truncated-slotted ring antenna in comparison with slotted-ring antenna, it has been selected for antenna array design. The simulated and measured S11 of truncated-slotted ring antenna shows -21dB and -15.6 dB at 2.4 GHz respectively. Then, the antenna has been formed into 1x4 array in order to observe its beamforming capability. The proposed antenna array is suitable for 802.11b/g/n Wi-Fi standard which is proposed to be used for IoT.
Wireless applications in various areas
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.
Wireless LANs and Mobile Networks
The document provides information on the history and types of wireless LANs and mobile networks. It discusses:
- The early development of wireless technologies from 1971 including ALOHAnet and experimental wireless networks. Standards like IEEE 802.11 were introduced from 1997.
- Types of wireless LANs including infrared, spread spectrum, and narrowband microwave networks. Key standards are also discussed like IEEE 802.11, HiperLAN, Bluetooth, and HomeRF.
- Challenges for wireless networks including improving data rates, addressing security and interference issues, and ensuring system interoperability. Seamless handoff between access points is also discussed.
ANTENNA ARRAYS FOR MILLIMETER WAVE COMMUNICATION: A REVIEW
The document discusses antenna arrays and their use in millimeter wave communication systems. It defines antenna arrays as groups of antennas that transmit or receive radio signals in a specific pattern to enhance performance. Antenna arrays can direct radio energy in a specific direction to increase signal strength and reduce interference. The document focuses on the use of phased arrays and beamforming techniques in millimeter wave technology to enable high-speed 5G wireless communication networks. It describes challenges like high path loss at millimeter wave frequencies and how techniques like phased arrays and beamsteering in compact antenna arrays are helping to address these challenges.
gcettb presentation on sensor network
This document summarizes sensor networks, including their definition, components, applications, characteristics, architectures, challenges, and security approaches. Sensor networks consist of spatially distributed nodes that monitor environmental conditions and pass data to a central location. The nodes have sensors, microcontrollers, memory, and radios. Applications include area monitoring, healthcare, and environmental monitoring. Challenges include limited energy, computation, and transmission range. PEGASIS is an approach that forms nodes into chains to more efficiently pass data to the base station and minimize energy use. Security is provided using secret key encryption algorithms.
SYSTEL_Doc_2016
The document provides an overview of training conducted by SYSTEL on wireless communication concepts. The training covered basics of telecommunication systems including modulation techniques, multiple access techniques, antenna systems, wireless broadband, two-way radio systems, mobility networks, and operating system essentials. The training documentation included detailed sections on each of these topics.
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Ieeepro techno solutions ieee 2013 embedded project smartdust network for...
Ieeepro techno solutions ieee 2013 embedded project smartdust network for...
Ieeepro techno solutions ieee 2013 embedded project smartdust network for...
Ieeepro techno solutions ieee 2013 embedded project smartdust network for...
Smartdust Network for Tactical Border Surveillance Using Multiple Signatures
Smartdust Network for Tactical Border Surveillance Using Multiple Signatures
Smartdust Network for Tactical Border Surveillance Using Multiple Signatures
Smartdust Network for Tactical Border Surveillance Using Multiple Signatures
Design and development broadband monopole antenna for in-door application
Design and development broadband monopole antenna for in-door application
Implementation of Wireless Communication using Adaptive Beamforming of Smart ...
Implementation of Wireless Communication using Adaptive Beamforming of Smart ...
Design and optimize microstrip patch antenna array using the active element p...
Design and optimize microstrip patch antenna array using the active element p...
ANTENNA ARRAYS FOR MILLIMETER WAVE COMMUNICATION: A REVIEW
ANTENNA ARRAYS FOR MILLIMETER WAVE COMMUNICATION: A REVIEW
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Moscow october 4
- 1. Planning of Security Networks by Adaptive Antennas in Safety Cities Campaign Nathan Blaunstein D.P. Electronic Systems, Ltd Forum Israel-Russia, October 4, 2011
- 2. Detection and Protection (D.P.) Electronic Systems, Ltd – History and Profile Founded in 1996 for the purpose of researching and developing novel methods in applied electrodynamics, physics and electronics, focusing its effort on radio, optical and acoustic wave propagation in different media with applications to wireless communications, radar, optic and acoustic systems, electromagnetic systems for different kinds of objects detection and identification. DP Company is located in Tel Aviv, having branches in Beer Sheba, creating new technologies, elements, devices, radar and lidar systems with applications to electromagnetic and optic tomography, imaging, remote sensing, and communication. Two new DP branches have been created in 2008 and 2010 for two separate projects: “Passive Imaging Systems (PAIMS)” and “Perimeter Security Systems (PRESS)”.
- 3. D.P. Electronic Systems – Activity and Projects via Israeli Companies 1. Development of applied projects in security and communications. 2. Patents (2 patents in radar applications, 2 patents in smart antennas and wireless communication, and 1 patent in seismic event prediction by using of ionosphere monitoring). Partnership with industry firms in Israel : Elta, Aircraft Industry (IAI) , Rafael, Magal, TAAS, OmniSys , Tadiran , InnoWave , Spectralink, WaveExtend, Polar. Partnership with industry firms abroad : Xirrus and Conepsa (USA); Previn and Iceberg (Ukraine), Bharat Forge and Finolex (India), SenStar (Canada). D. P. Electronic Systems,Ltd Israel
- 8. The outdoor antenna for work covering 360 degrees by use of 8 sectors with 4-8 separate scanning beams at each sector operating at 2.4-2.6 GHz, which can be adopted also for WiFi, WiMAX and LTE networks and can manage and localize not less than 54 users/sensorsa and send to each of them information with the rate of 8-10Mbps. Outdoor (Micro/Macro-Cell) Antennas
- 9. Management and Control of Optical Cameras Located in Urban Areas Experiments are curried at the distance 2km to 5.4km with the data rate of 7-8 Mbit/sec.
- 10. Adaptive Antenna Network 1 M
- 11. Proposal for Presentation by Use of One-Sector Antenna Operating at 2.4 GHz Inner Architecture of the Antenna System Principe: Beam Shifting Network Based on the Switched Printed Matrix Circuit Scanning from beam to beam will take maximum “50-100 nanoseconds”. Front coverage of beams at -2dB when 10 degrees each beam and total 45 degrees and then divided of each individual beam on sub-beams of 1.25 degrees for each sub-beam. Front coverage with single beam shift network switched matrix Front coverage shift network switched matrices with 8 beam in the horizontal plane and with a single beam in the vertical plane
- 12. D. P. E. S. Outdoor (Micro-/Macro-Cell) Smart Antennas These kinds of antenna were adapted to work covering 120 degrees by using of 3 sectors with 4 to 8 separate scanning beams at each sector for localization and manage not less than 12 stationary/moving subscribers with capacity (maximum bit rate) up to 5-7 Mbps. Operating frequencies: 2.4-2.6 GHz and 5.7-5.9 GHz
- 13. Outdoor 8-sector WiFi Antenna – 5.8 GHz
- 14. Indoor/Outdoor Adaptive Multi-Beam Antennas WiFi - 2.4-2.6 GHz WiMax – 5.8 GHz
- 15. Indoor Adaptive Multi-Beam Antennas WiFi - 2.4 GHz WiMax - 5.8 GHz
- 16. Planning of Hierarchy of Users/Sensors Distributed in Areas of Control, Secure and Wireless Communication
- 17. Buildings’ Overlay Profile of Ramat-Gan Stock Market Area
- 18. Buildings’ Density Pattern of Ramat-Gan Stock Market Area
- 19. Radio Map of Ramat-Gan Stock Market Area
- 20. Scheme of Combined Service of Multi-User Internet and Multi-Sensor Networks for Secure and Protection of Territories
- 21. Scheme of Multiple Cameras Network Installation for Secure and Protection of City Dimona by Use of Adaptive Antennas
- 22. Example of Multi-User Internet and Optical Cameras Networks for Secure and Protection of Territories Marina Site (Israel)
Editor's Notes
- הפיתרון שלנו : גדרות אלקטרו מגנטיות פתוחות . 4 פטנטים באירופה . אנטנה חכמה לניהול המידע המגיע מהגדרות והמצלמות מצלמות פיתרון כולל המבטיח הגנה מרחבית מירבית
- יתרונות : מתח הפעלה נמוך , מרחק בין משדר למקלט , אפשרויות פעולה בכל מזג אויר וראות , יכולת הסוואה בשטח , מוצר לא קיים לכן יכולת הפתעה לרוכש הראשון , אין דרך לראות את הקרן האלקטרו - מגנטית לכן לא ניתן להתגונן , אינו מתריע על חיות קטנות , ניתן לשרשר כדי להגיע לגובה הרצוי . בעתיד יוכל להחליף את החיישנים האינפרה אדומים , משקל נמוך , התקנה זולה , כל הפתרון הינו אל - חוטי , אחזקה נמוכה . חסרונות : אינו חוסם פיזית יש צורך בגדר רגילה לפני , עלויות גבוהות למרחקים נמוכים , התראה רק אחרי שעברו את הגדר – אין התראה מוקדמת בלי המצלמות . אפשרויות פעולה : בכל תנאי מזג אויר כולל ערפל , שלג וכו ' גם במקומות שאין בהם קו ראייה – כלומר דרך קירות , עץ וכל חומר המאפשר מעבר של רדיו