WoMaster's White Paper introduces a new sophisticated approach to Smart City System integration. Integrating wireless, Ethernet networks, and sensor network has never been easier with new industrial IP67 Smart City Box. The new communication system provides a complex solution for video surveillance in smart cities, GPS, alarm systems, LoRa communication, video analysis, etc.
Apresentação Técnica - Infecções por Malware no BrasilTI Safe
The document summarizes two cases of malware infections in Brazilian steel industry automation networks. In the first case, the AHACK worm spread through an unsegmented network and compromised supervision of a power plant, causing production stops and losses. Countermeasures included disinfecting some systems, documenting emergency procedures, and banning unscreened removable media and modems. The second case involved a Conficker infection through an unprotected network architecture. Both incidents highlighted vulnerabilities in the networks and lack of security practices.
PPT on Bluetooth Based Wireless Sensor NetworksSiya Agarwal
Bluetooth wireless sensor networks can be implemented using Bluetooth technology. Smart sensor nodes equipped with sensors, microprocessors and Bluetooth communication interface can collect data and transmit it to a gateway node. The network involves discovering Bluetooth devices, establishing connections and exchanging data. Algorithms are used for initialization, discovery, parameter setting and data transfer between nodes. While Bluetooth provides benefits like being wireless and inexpensive, it also has limitations such as average data rates and security risks.
NFC is a short-range wireless technology that allows data exchange when devices are touched or brought within close proximity. It uses magnetic field induction to enable communication between devices operating within a 10cm range. NFC standards have been developed for identification cards and RFID communication. Common uses of NFC include contactless payments, data sharing between devices, and pairing devices via Bluetooth or WiFi setup. Security aspects of NFC include risks of eavesdropping, data modification, and unauthorized access if an NFC device is lost. Future applications may involve using NFC for vehicle ignition and unlocking smart doors.
Although many techniques exist to transfer data from the widely distributed sensors that make up the Internet of Things IoT e.g., using 3G 4G networks or cables , these methods are associated with prohibitively high costs, making them impractical for real life applications. LoRa Long Range modulation together with LoRaWAN LoRa Wide Area Networks communication protocol can represent a suitable candidate ensuring a high level of performance in wireless technologies. The objective is to contribute toward the realization of LoRa as a viable communication technology for applications that needs long range links and deployed in a distributed manner. The LoRaWAN networks are the evolution of wireless sensor networks directed to the IoT concept, which entails sensor connectivity to the Internet. LoRa technology is summarized by reviewing some aspects regarding the architecture, security and application of the technology. Ms. Helina Tandel | Ms. Anjali Gharat | Mr. Ketan Bagade "LoRa Technology - DNA of IoT" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd28102.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/28102/lora-technology---dna-of-iot/ms-helina-tandel
Near field communication (NFC) is a short-range wireless technology that allows data exchange between devices when touched together or brought within close proximity. NFC operates at 13.56 MHz and can communicate at speeds up to 424 kilobits per second within a 10 centimeter range. The document discusses NFC architecture, communication modes, operating modes, threats including eavesdropping and data modification, and defenses such as using encryption to establish a secure channel. It also provides applications of NFC like contactless payments and digital content sharing.
Near Field Communication (NFC) is a short-range wireless technology that allows data exchange when devices are brought within 4 cm of each other. NFC works using radio frequency identification (RFID) technology and magnetic field induction at 13.56 MHz. It has a variety of applications including mobile payments, data sharing, and access control. While NFC provides convenience, security issues like eavesdropping, data corruption, and man-in-the-middle attacks must be addressed to fully realize its potential.
Apresentação Técnica - Infecções por Malware no BrasilTI Safe
The document summarizes two cases of malware infections in Brazilian steel industry automation networks. In the first case, the AHACK worm spread through an unsegmented network and compromised supervision of a power plant, causing production stops and losses. Countermeasures included disinfecting some systems, documenting emergency procedures, and banning unscreened removable media and modems. The second case involved a Conficker infection through an unprotected network architecture. Both incidents highlighted vulnerabilities in the networks and lack of security practices.
PPT on Bluetooth Based Wireless Sensor NetworksSiya Agarwal
Bluetooth wireless sensor networks can be implemented using Bluetooth technology. Smart sensor nodes equipped with sensors, microprocessors and Bluetooth communication interface can collect data and transmit it to a gateway node. The network involves discovering Bluetooth devices, establishing connections and exchanging data. Algorithms are used for initialization, discovery, parameter setting and data transfer between nodes. While Bluetooth provides benefits like being wireless and inexpensive, it also has limitations such as average data rates and security risks.
NFC is a short-range wireless technology that allows data exchange when devices are touched or brought within close proximity. It uses magnetic field induction to enable communication between devices operating within a 10cm range. NFC standards have been developed for identification cards and RFID communication. Common uses of NFC include contactless payments, data sharing between devices, and pairing devices via Bluetooth or WiFi setup. Security aspects of NFC include risks of eavesdropping, data modification, and unauthorized access if an NFC device is lost. Future applications may involve using NFC for vehicle ignition and unlocking smart doors.
Although many techniques exist to transfer data from the widely distributed sensors that make up the Internet of Things IoT e.g., using 3G 4G networks or cables , these methods are associated with prohibitively high costs, making them impractical for real life applications. LoRa Long Range modulation together with LoRaWAN LoRa Wide Area Networks communication protocol can represent a suitable candidate ensuring a high level of performance in wireless technologies. The objective is to contribute toward the realization of LoRa as a viable communication technology for applications that needs long range links and deployed in a distributed manner. The LoRaWAN networks are the evolution of wireless sensor networks directed to the IoT concept, which entails sensor connectivity to the Internet. LoRa technology is summarized by reviewing some aspects regarding the architecture, security and application of the technology. Ms. Helina Tandel | Ms. Anjali Gharat | Mr. Ketan Bagade "LoRa Technology - DNA of IoT" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd28102.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/28102/lora-technology---dna-of-iot/ms-helina-tandel
Near field communication (NFC) is a short-range wireless technology that allows data exchange between devices when touched together or brought within close proximity. NFC operates at 13.56 MHz and can communicate at speeds up to 424 kilobits per second within a 10 centimeter range. The document discusses NFC architecture, communication modes, operating modes, threats including eavesdropping and data modification, and defenses such as using encryption to establish a secure channel. It also provides applications of NFC like contactless payments and digital content sharing.
Near Field Communication (NFC) is a short-range wireless technology that allows data exchange when devices are brought within 4 cm of each other. NFC works using radio frequency identification (RFID) technology and magnetic field induction at 13.56 MHz. It has a variety of applications including mobile payments, data sharing, and access control. While NFC provides convenience, security issues like eavesdropping, data corruption, and man-in-the-middle attacks must be addressed to fully realize its potential.
I. The document discusses what the Internet of Things (IOT) is, including definitions and examples of connected devices.
II. It outlines some of the main security challenges with IOT, including that default configurations are not optimized for security and users prioritize ease-of-use over security.
III. Examples of IOT applications that are discussed include fleet tracking, home automation, connected cars, healthcare, agriculture, industrial settings, and more.
M2M technology allows machines and devices to communicate with each other without human intervention. It uses sensors, wireless networks, and the internet to connect devices. There are four basic stages to most M2M applications: data collection, data transmission over a network, data assessment, and response to the available information. M2M has many applications including security, transportation, healthcare, manufacturing, and the automotive industry. In particular, vehicle-to-vehicle communication through technologies like DSRC can help avoid road accidents by warning drivers of dangerous conditions.
NFC, or near field communication, allows short-range wireless communication between devices when they are touched or within a few centimeters of each other. It uses magnetic field induction to enable communication between devices like mobile phones and NFC tags. NFC provides contactless transactions and data exchange, and is used for applications like mobile payments, connecting devices, and sharing contacts and photos between phones.
Near Field Communication (NFC) allows contactless communication between devices within close proximity. Google Wallet uses NFC to allow users to store credit cards on their phones and make mobile payments at participating retailers with a tap of their phone. However, implementing mobile payments faces technical challenges regarding mobile security, interoperability between platforms, and infrastructure requirements that may delay widespread adoption, especially in developing countries like India with less mobile connectivity.
Bluetooth is a wireless technology standard that allows short-range wireless connections between devices like mobile phones, laptops, printers, and other electronics. The document provides an overview of Bluetooth including its history, how it works using frequency-hopping spread spectrum in the 2.4GHz band, supporting up to 10 meters of range. It discusses Bluetooth components, security modes, early slow product rollout, and potential business uses and benefits like replacing cables and wireless file sharing. Standards bodies like the Bluetooth SIG and key technology leaders are also mentioned.
Bluetooth based smart sensor devices 2Vijay Kribpz
This document discusses Bluetooth-based smart sensor devices. It begins with an abstract and introduction to Bluetooth technology, defining it as a short-range wireless standard. It then covers Bluetooth operations, topologies of piconets and scatternets, and how Bluetooth works. The document discusses using sensors with Bluetooth, including examples like pressure sensors. It describes building Bluetooth-based wireless sensor networks and addressing Bluetooth security. It outlines characteristics and applications of Bluetooth technology, as well as advantages and disadvantages. The conclusion envisions future expansion of Bluetooth applications.
A novel password based mutual authentication technique for 4 g mobile communi...eSAT Publishing House
The document describes a proposed password-based mutual authentication technique for 4G mobile communications. The technique aims to authenticate both the subscriber and network using the subscriber's password. It involves four phases: subscriber enrollment where the subscriber chooses an ID and password which are stored on their SIM card; subscriber authentication which occurs during each connection attempt where the subscriber provides their ID and password for verification; network authentication where the network also verifies itself to the subscriber; and a password change phase where the subscriber can update their password without server involvement. The proposed technique is claimed to provide advantages such as minimizing computation, preventing multiple SIMs with the same ID, and not requiring storage of ID/password on the server.
Near Field Communication (NFC) is a short-range wireless technology that allows data exchange between devices within 10 cm of each other. NFC was developed from RFID technology and operates at 13.56 MHz. It enables simplified transactions, data exchange, and wireless connections. NFC supports three operating modes - card emulation, peer-to-peer, and reader/writer - and has applications in areas like mobile payments, ticketing, and data sharing between devices. While convenient, NFC has limitations in range and data transfer speed.
NFC allows short-range wireless data transfer between devices that are within 10 cm of each other. It works using magnetic field induction and can operate in either active or passive mode. NFC has applications in areas like contactless payment, ticketing, and data sharing. Major phone manufacturers have incorporated NFC in recent devices and its use is expected to grow as more popular mobile platforms adopt the technology.
Wireless Personal Area Networks – Bluetooth, UWB and Sensor Networks Manas Rai
This document provides an overview of wireless personal area networks (WPANs), with a focus on Bluetooth technology. Some key points:
- WPANs like Bluetooth operate over short ranges (around 10 meters) and support connections between devices in close proximity, using the ad hoc network model.
- The IEEE 802.15 standards group develops specifications for WPANs, adopting parts of the Bluetooth standard. It focuses on high and low data rate networks.
- Bluetooth is a widely used WPAN technology that allows devices to connect quickly within 10 meters at up to 1 Mbps without cables. It operates in the unlicensed 2.4GHz band.
- Emerging technologies like ultra-wide
Machine to machine (M2M) communication allows machines to communicate with each other without human intervention. M2M communication has a wide range of applications including smart grids, smart homes, healthcare, transportation and more. The presentation outlines the basic concepts of M2M including the network architecture, standards, market drivers and barriers. It also discusses the size and growth projections of the M2M market by industry vertical. Specific M2M applications for smart grids, homes, electric vehicles and cities are reviewed in detail.
M2M systems layers and designs standardizationsFabMinds
The document discusses standards and standardization bodies for Internet of Things (IoT) systems. The Internet Engineering Task Force (IETF), International Telecommunication Union (ITU-T), European Telecommunication Standards Institute (ETSI), and Open Geospatial Consortium (OGC) have all proposed standards and reference models for IoT layers, communication, and device/sensor capabilities. Specifically, ETSI defined domains and capabilities for machine-to-machine communication systems, while IETF, ITU-T, and OGC focused on network layers, transport protocols, and sensor discovery/metadata.
NFC allows for short-range wireless communication between electronic devices without any prior setup needed. It enables the exchange of data through radio frequency identification (RFID) technology using tags connected to antennas that can be read and written by readers. Applications of NFC include downloading content from smart posters, exchanging business cards, paying for transportation or purchases, accessing controls, and printing receipts.
The document discusses the system design of multiprotocol IoT. It provides an overview of IoT capabilities and architecture, covering multiple protocols at both the application and lower layers. Requirements for IoT "Things" are outlined, such as functional modes, power consumption, and security considerations. Challenges for designing low-power IoT Things are also examined, along with potential solutions.
There are many advantages to being able to track in real-time the movement of things or humans.
This is especially important in tracking goods in the supply chain, in security and also in health and safety.
The Global Positioning Satellite (GPS) system works well in outdoor environments but it cannot track items
indoors. There is also the problem of power hungry sensor chips inherent in some GPS trackers. Mobile
Cellular triangulation also works well for many outdoor solutions but problems with cost, accuracy and
reliability make it difficult to deploy for indoor tracking scenarions. The levels of accuracy can vary by up to
50 meters which hinder its ability for adoption in many use case scenarios. There are also problems with
poor cellular coverage in rural areas. Solutions built on WiFi–the IEEE 802.11 standard overcome many of
these issues. WiFi location tracking works via sampling of the received signal strength (RSS) which along
with triangulation and prior mapping allows systems to locate items or humans with fine-granularity. This
WiFi fingerprinting is a viable cost-effective approach to determining movement within indoor enviroments.
This paper presents an overview of popular techniques and off-the-shelf solutions which can be used to
determine movement of people and objects indoors. We outline the Locator frameworks which is built on
both active and passive indoor localisation techniques for tracking movement within indoor environments.
This document describes a LoRa-based data acquisition system for monitoring vehicle parameters. The system uses sensors to measure fuel level, temperature, smoke detection, GPS location, humidity, and vibration. An ESP32 microcontroller collects sensor data and transmits it over a LoRa communication link. A NodeMCU microcontroller on the receiving end collects the data and sends it to a Python GUI for display and storage. The system was implemented with hardware components like ESP32, NodeMCU, sensors, and LoRa modules. It allows monitoring vehicle parameters in real-time and alerting users if any issues like low fuel, smoke, or accidents are detected.
The document provides an introduction to the Global Internet of Things (IoT). It defines IoT as a system of interconnected computing devices, machines, objects, animals or people that can transfer data over a network without requiring human interaction. It discusses how IoT is the next phase of development after the Internet of computers and mobile phones. The document outlines several key technologies that enable IoT, including RFID, wireless networks, sensors, cloud computing and energy harvesting. It also discusses the architecture, applications, market and impact of digital transformation of IoT.
I. The document discusses what the Internet of Things (IOT) is, including definitions and examples of connected devices.
II. It outlines some of the main security challenges with IOT, including that default configurations are not optimized for security and users prioritize ease-of-use over security.
III. Examples of IOT applications that are discussed include fleet tracking, home automation, connected cars, healthcare, agriculture, industrial settings, and more.
M2M technology allows machines and devices to communicate with each other without human intervention. It uses sensors, wireless networks, and the internet to connect devices. There are four basic stages to most M2M applications: data collection, data transmission over a network, data assessment, and response to the available information. M2M has many applications including security, transportation, healthcare, manufacturing, and the automotive industry. In particular, vehicle-to-vehicle communication through technologies like DSRC can help avoid road accidents by warning drivers of dangerous conditions.
NFC, or near field communication, allows short-range wireless communication between devices when they are touched or within a few centimeters of each other. It uses magnetic field induction to enable communication between devices like mobile phones and NFC tags. NFC provides contactless transactions and data exchange, and is used for applications like mobile payments, connecting devices, and sharing contacts and photos between phones.
Near Field Communication (NFC) allows contactless communication between devices within close proximity. Google Wallet uses NFC to allow users to store credit cards on their phones and make mobile payments at participating retailers with a tap of their phone. However, implementing mobile payments faces technical challenges regarding mobile security, interoperability between platforms, and infrastructure requirements that may delay widespread adoption, especially in developing countries like India with less mobile connectivity.
Bluetooth is a wireless technology standard that allows short-range wireless connections between devices like mobile phones, laptops, printers, and other electronics. The document provides an overview of Bluetooth including its history, how it works using frequency-hopping spread spectrum in the 2.4GHz band, supporting up to 10 meters of range. It discusses Bluetooth components, security modes, early slow product rollout, and potential business uses and benefits like replacing cables and wireless file sharing. Standards bodies like the Bluetooth SIG and key technology leaders are also mentioned.
Bluetooth based smart sensor devices 2Vijay Kribpz
This document discusses Bluetooth-based smart sensor devices. It begins with an abstract and introduction to Bluetooth technology, defining it as a short-range wireless standard. It then covers Bluetooth operations, topologies of piconets and scatternets, and how Bluetooth works. The document discusses using sensors with Bluetooth, including examples like pressure sensors. It describes building Bluetooth-based wireless sensor networks and addressing Bluetooth security. It outlines characteristics and applications of Bluetooth technology, as well as advantages and disadvantages. The conclusion envisions future expansion of Bluetooth applications.
A novel password based mutual authentication technique for 4 g mobile communi...eSAT Publishing House
The document describes a proposed password-based mutual authentication technique for 4G mobile communications. The technique aims to authenticate both the subscriber and network using the subscriber's password. It involves four phases: subscriber enrollment where the subscriber chooses an ID and password which are stored on their SIM card; subscriber authentication which occurs during each connection attempt where the subscriber provides their ID and password for verification; network authentication where the network also verifies itself to the subscriber; and a password change phase where the subscriber can update their password without server involvement. The proposed technique is claimed to provide advantages such as minimizing computation, preventing multiple SIMs with the same ID, and not requiring storage of ID/password on the server.
Near Field Communication (NFC) is a short-range wireless technology that allows data exchange between devices within 10 cm of each other. NFC was developed from RFID technology and operates at 13.56 MHz. It enables simplified transactions, data exchange, and wireless connections. NFC supports three operating modes - card emulation, peer-to-peer, and reader/writer - and has applications in areas like mobile payments, ticketing, and data sharing between devices. While convenient, NFC has limitations in range and data transfer speed.
NFC allows short-range wireless data transfer between devices that are within 10 cm of each other. It works using magnetic field induction and can operate in either active or passive mode. NFC has applications in areas like contactless payment, ticketing, and data sharing. Major phone manufacturers have incorporated NFC in recent devices and its use is expected to grow as more popular mobile platforms adopt the technology.
Wireless Personal Area Networks – Bluetooth, UWB and Sensor Networks Manas Rai
This document provides an overview of wireless personal area networks (WPANs), with a focus on Bluetooth technology. Some key points:
- WPANs like Bluetooth operate over short ranges (around 10 meters) and support connections between devices in close proximity, using the ad hoc network model.
- The IEEE 802.15 standards group develops specifications for WPANs, adopting parts of the Bluetooth standard. It focuses on high and low data rate networks.
- Bluetooth is a widely used WPAN technology that allows devices to connect quickly within 10 meters at up to 1 Mbps without cables. It operates in the unlicensed 2.4GHz band.
- Emerging technologies like ultra-wide
Machine to machine (M2M) communication allows machines to communicate with each other without human intervention. M2M communication has a wide range of applications including smart grids, smart homes, healthcare, transportation and more. The presentation outlines the basic concepts of M2M including the network architecture, standards, market drivers and barriers. It also discusses the size and growth projections of the M2M market by industry vertical. Specific M2M applications for smart grids, homes, electric vehicles and cities are reviewed in detail.
M2M systems layers and designs standardizationsFabMinds
The document discusses standards and standardization bodies for Internet of Things (IoT) systems. The Internet Engineering Task Force (IETF), International Telecommunication Union (ITU-T), European Telecommunication Standards Institute (ETSI), and Open Geospatial Consortium (OGC) have all proposed standards and reference models for IoT layers, communication, and device/sensor capabilities. Specifically, ETSI defined domains and capabilities for machine-to-machine communication systems, while IETF, ITU-T, and OGC focused on network layers, transport protocols, and sensor discovery/metadata.
NFC allows for short-range wireless communication between electronic devices without any prior setup needed. It enables the exchange of data through radio frequency identification (RFID) technology using tags connected to antennas that can be read and written by readers. Applications of NFC include downloading content from smart posters, exchanging business cards, paying for transportation or purchases, accessing controls, and printing receipts.
The document discusses the system design of multiprotocol IoT. It provides an overview of IoT capabilities and architecture, covering multiple protocols at both the application and lower layers. Requirements for IoT "Things" are outlined, such as functional modes, power consumption, and security considerations. Challenges for designing low-power IoT Things are also examined, along with potential solutions.
There are many advantages to being able to track in real-time the movement of things or humans.
This is especially important in tracking goods in the supply chain, in security and also in health and safety.
The Global Positioning Satellite (GPS) system works well in outdoor environments but it cannot track items
indoors. There is also the problem of power hungry sensor chips inherent in some GPS trackers. Mobile
Cellular triangulation also works well for many outdoor solutions but problems with cost, accuracy and
reliability make it difficult to deploy for indoor tracking scenarions. The levels of accuracy can vary by up to
50 meters which hinder its ability for adoption in many use case scenarios. There are also problems with
poor cellular coverage in rural areas. Solutions built on WiFi–the IEEE 802.11 standard overcome many of
these issues. WiFi location tracking works via sampling of the received signal strength (RSS) which along
with triangulation and prior mapping allows systems to locate items or humans with fine-granularity. This
WiFi fingerprinting is a viable cost-effective approach to determining movement within indoor enviroments.
This paper presents an overview of popular techniques and off-the-shelf solutions which can be used to
determine movement of people and objects indoors. We outline the Locator frameworks which is built on
both active and passive indoor localisation techniques for tracking movement within indoor environments.
This document describes a LoRa-based data acquisition system for monitoring vehicle parameters. The system uses sensors to measure fuel level, temperature, smoke detection, GPS location, humidity, and vibration. An ESP32 microcontroller collects sensor data and transmits it over a LoRa communication link. A NodeMCU microcontroller on the receiving end collects the data and sends it to a Python GUI for display and storage. The system was implemented with hardware components like ESP32, NodeMCU, sensors, and LoRa modules. It allows monitoring vehicle parameters in real-time and alerting users if any issues like low fuel, smoke, or accidents are detected.
The document provides an introduction to the Global Internet of Things (IoT). It defines IoT as a system of interconnected computing devices, machines, objects, animals or people that can transfer data over a network without requiring human interaction. It discusses how IoT is the next phase of development after the Internet of computers and mobile phones. The document outlines several key technologies that enable IoT, including RFID, wireless networks, sensors, cloud computing and energy harvesting. It also discusses the architecture, applications, market and impact of digital transformation of IoT.
Secure Data Aggregation Of Wireless Sensor NetworksAmy Moore
Wireless sensor networks are used to monitor environmental conditions like temperature and humidity under controlled environments for seed germination experiments. A wireless remote monitoring system using sensors can precisely monitor temperature, humidity, and water content of seeds in closed containers. ZigBee wireless sensor networks are effective for real-time monitoring of the conditions necessary for seed germination and growth. Researchers aim to design a wireless sensor network integrated with sensors to remotely manage and monitor the environmental parameters for seed germination experiments under controlled conditions.
Orange IoT and LPWA Connectivity White Paper-EN-2018Orange Dev
(1) LoRaWAN and LTE-M are low-power wide-area (LPWA) network technologies that are well-suited for connecting IoT devices that require long range connectivity while minimizing power consumption. (2) LoRaWAN uses license-free spectrum for connectivity solutions that are low-power, low-cost, and provide wide-area coverage for non-critical applications. (3) LTE-M uses licensed cellular spectrum and provides more capabilities like higher speeds, support for mobility and voice, and global roaming, making it suitable for applications requiring real-time connectivity.
NB-IoT WiKi
NB-IoT (Narrowband IoT) is a low-power technology designed for Internet of Things (IoT) applications and other low-data rate communication requirements.
It uses narrowband radio spectrum and advanced power management techniques to efficiently utilize the available spectrum and extend the battery life of IoT devices.
NB-IoT is based on LTE cellular wireless technology and has been standardized by the 3rd Generation Partnership Project (3GPP) as the global wireless communication standard for IoT applications.
Small, Dumb, ¬¬Cheap, and Copious – the Future of the Internet of Things,
Abstract
Over the next decade, billions of interconnected devices will be monitoring and responding to transportation systems, factories, farms, forests, utilities, soil and weather conditions, oceans, and other resources.
The unique characteristic that the majority of these otherwise incredibly diverse Internet of Things (IOT) devices will share is that they will be too small, too dumb, too cheap, and too copious to use traditional networking protocols such as IPv6.
For the same reasons, this tidal wave of IOT devices cannot be controlled by existing operational techniques and tools. Instead, lessons from Nature’s massive scale will guide a new architecture for the IOT.
Taking cues from Nature, and in collaboration with our OEM licensees, MeshDynamics is extending concepts outlined in the book “Rethinking the Internet of Things” to real-world problems of supporting “smart: secure and scalable” IOT Machine-to-Machine (M2M) communities at the edge.
Simple devices, speaking simply
Today companies view the IOT as an extension of current networking protocols and practices. But those on the front lines of the Industrial Internet of Things are seeing problems already:
“While much of the ink spilled today is about evolutionary improvements using modern IT technologies to address traditional operational technology concerns, the real business impact will be to expand our horizon of addressable concerns. Traditional operational technology has focused on process correctness and safety; traditional IT has focused on time to market and, as a recent concern, security. Both disciplines have developed in a world of relative scarcity, with perhaps hundreds of devices interconnected to perform specific tasks. The future, however, points toward billions of devices and tasks that change by the millisecond under autonomous control, and are so distributed they cannot be tracked by any individual. Our existing processes for ensuring safety, security and management break down when faced with such scale. Stimulating the redevelopment of our technologies for this new world is a focal point for the Industrial Internet Consortium.”
LoRa vs NB-IoT, What is the difference between the two LPWAN technologies?
The proliferation of interactive data requires the support of corresponding network technologies, and the network technologies applied at this stage are not yet able to meet the needs of long-distance and narrow-bandwidth communication scenarios, in such a context, the Internet of Things was born. The low-power network, as an important technology for IoT, is developing at the fastest pace.
A Review of Low Power Wide Area Technology in Licensed and Unlicensed Spectru...journalBEEI
There are many platforms in licensed and license free spectrum that support LPWA (low power wide area) technology in the current markets. However, lack of standardization of the different platforms can be a challenge for an interoperable IoT environment. Therefore understanding the features of each technology platform is essential to be able to differentiate how the technology can be matched to a specific IoT application profile. This paper provides an analysis of LPWA underlying technology in licensed and unlicensed spectrum by means of literature review and comparative assessment of Sigfox, LoRa, NB-IoT and LTE-M. We review their technical aspect and discussed the pros and cons in terms of their technical and other deployment features. General IoT application requirements is also presented and linked to the deployment factors to give an insight of how different applications profiles is associated to the right technology platform, thus provide a simple guideline on how to match a specific application profile with the best fit connectivity features.
Iot basics & evolution of 3 gpp technolgies for iot connectivityKAILASH CHAUHAN
#IOT BASICS & EVOLUTION OF 3GPP TECHNOLOGIES FOR IOT CONNECTIVITY
#IOT-Internet of Things Handbook
#Cellular NW for Massive IOT
#LTE_Evolution_for_IoT_Connectivity
Ishiriya Wireless Technologies-4G Architecture, Networks and Protocolsbhadrah
The document discusses 4G networks and LTE. It introduces 4G and describes its network hierarchy with different network levels. It then discusses LTE in more detail, describing its overall architecture including the core network elements like MME, S-GW and P-GW. It explains the E-UTRAN access network and interfaces like S1 and X2. It covers the protocol architecture of LTE including user plane and control plane protocols as well as mobility management procedures and roaming architecture in LTE networks.
The document discusses regulatory spectrum management challenges and actions needed for cellular IoT deployment in Suriname. It notes that some frequency bands assigned for mobile coverage have technology restrictions, and the regulator lacks visibility into spectrum usage. It recommends incentivizing IoT within existing licensing frameworks, following international harmonization, conducting spectrum monitoring, studying IoT technical aspects, and setting up a working group to facilitate IoT innovation. Actions include making spectrum provisions for licensed and unlicensed IoT, preparing for deployment, and identifying future demand bands.
This document provides an overview of Internet of Things (IoT) concepts including M2M architecture, devices, networks, standards, and market characteristics. It describes the key components of M2M architecture defined by ETSI including M2M devices, area networks, gateways, network/application domains, and capabilities. Trends in M2M standards from 3GPP, 3GPP2, ETSI, and others are discussed. Differences between M2M and IoT are outlined. Low-power wireless technologies for IoT like LoRaWAN, Sigfox, NB-IoT, LTE-M and IEEE 802.11ah are introduced along with their applications and limitations.
LoRa and NB-IoT are two promising low-power WAN technologies for IoT applications. While both have characteristics of wide coverage, low power consumption and cost, they differ in their technologies. LoRa uses a spread spectrum modulation technique that improves sensitivity and communication distance at low power, while NB-IoT has evolved from 3GPP standards to support efficient transmission of infrequent packets from a large number of devices. Key advantages of LoRa include long communication distances of up to 15km, large system capacity through parallel processing, and positioning capabilities, making it suitable for applications requiring low power and long range.
Design of optimal system level for embedded wireless sensor unitIAEME Publication
This document describes the design of an optimal wireless sensor unit system for embedded applications. It presents an architecture that allows for flexible and efficient implementation of communication protocols to optimize performance under power constraints. The key aspects of the design include a central microcontroller connected to an RF transceiver, secondary storage, sensors, and power management. Hardware accelerators are used alongside the microcontroller to improve protocol efficiency while maintaining flexibility. The system is evaluated through implementation of sample communication protocols and demonstrations of system-level optimizations, such as a protocol that reduces receiver power consumption by 90% through preamble-based transmission.
IRJET- Viability of Smart City Applications with Lora WANIRJET Journal
This document discusses the viability of using LoRa WAN for smart city applications. It summarizes the LoRa WAN technology, including its long range capabilities and low power consumption. It then describes two case studies of using LoRa WAN for air quality and congestion monitoring in London. The results show that LoRa WAN is a feasible low power solution for these types of smart city applications. Battery lifetimes of several years can be achieved, meeting requirements for monitoring networks. Therefore, LoRa WAN shows potential as an effective technology for implementing IoT in smart cities.
This document discusses fog computing and its role in supporting Internet of Things applications. It defines fog computing as extending cloud computing to the edge of the network to enable applications requiring low latency, mobility support, and location awareness. Key characteristics of fog include its geographical distribution, support for real-time interactions, and role in streaming and sensor applications. The document argues fog is well-suited as a platform for connected vehicles, smart grids, smart cities, and wireless sensor networks due to its ability to meet latency and mobility requirements. It also describes how fog and cloud can work together with fog handling real-time analytics near data sources and cloud providing long-term global analytics and data storage.
IRJET- A Review on Intelligent Agriculture Service Platform with Lora Bas...IRJET Journal
This document reviews an intelligent agriculture service platform using a LoRa-based wireless sensor network. It proposes using LoRa technology for its long range and low power capabilities to transmit sensor data from farms to the cloud for analysis. Sensors would monitor conditions like temperature, humidity, moisture and light to automatically control devices and maintain optimal conditions. The system aims to improve efficiency, reduce costs and help farmers better plan through data collection and analysis.
IoT and Low Power WANs Can Enable Smart Cities and Smart Health 4-8-17Ed Hightower
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The document introduces the DP310 and DS310 industrial Ethernet switches. They provide rugged designs suitable for harsh environments with L2 management, VPN support, ERPS ring redundancy, and PoE capability of 240W for the DP310. Both switches support standard traffic control assembly compliance and strong EMC protection. They are suitable for wayside and factory environments for IIoT integration with control rooms.
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HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
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Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
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Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
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- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
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• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
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Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Programming Foundation Models with DSPy - Meetup SlidesZilliz
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Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
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2. Table of Contents
1. Background.............................................................................................1
2. The Driving Force of Smart City Construction.....................................2
◆ Crime Prevention.................................................................................2
◆ Disaster Warning.................................................................................2
◆ City Services .......................................................................................2
3. Technology, Connectivity and IoT.........................................................2
◆ LoRa (Long Range).............................................................................3
◆ LoRa vs. LoRaWAN ............................................................................4
◆ LoRa Advantage..................................................................................5
◆ NB-IoT (Narrow Band Internet of Things) ............................................5
◆ NB-IoT Advantage ...............................................................................6
◆ LoRa vs. NB-IoT..................................................................................6
4. Video Surveillance and Video Analysis ................................................8
5. Management and Control.......................................................................8
◆ Alarm System......................................................................................8
◆ Global Positioning System (GPS)........................................................8
◆ File Management Program..................................................................8
◆ Video Dispatch ....................................................................................9
6. Cloud Technology...................................................................................9
7. Conclusion ............................................................................................10
3. 1
1. Background
A smart city is an urban area that uses different types of electronic data
collection sensors to supply information which is used to manage assets and
resources efficiently. This includes data collected from citizens, devices, and
assets that are processed and analyzed to monitor and manage traffic and
transportation systems, power plants, water supply networks, waste
management, law enforcement, information systems, schools, libraries,
hospitals, and other community services.
Bill Gates who is the founder of Microsoft announced on November 13,
2017 that he will buy 25,000 acres of land in the Arizona desert of the United
States and create a smart city from scratch. This shows that intelligence Smart
City has become the future trend. However, how each smart component can
be connected in series is a huge challenge for IT system integrators.
The construction of a smart city must conform to the principle of "intensive,
green, intelligent and low-carbon" proposed by General Secretary Xi Jin-Ping.
The wisdom system as a "binder" will be intensive, low carbon, green,
humanities and other new ideas into the entire process of urbanization. The
biggest challenge in smart city construction is connecting each isolated piece
of information. Through information sharing, it can increase the symbiosis
system to eliminate the "isolated islands of information" and the barriers to
benefits.
4. 2
2. The Driving Force of Smart City Construction
Crime Prevention
Crime prevention is an important driver of building a smart city. It helps to
protect urban residents from crime and improves overall well-being. As
criminals and terrorists continue to change their methods, city
administrator needs new technologies and innovative solutions to improve
city security.
Disaster Warning
With the communication technologies, a smart city can achieve early
warnings and facilitate the development of clear action plans in the event
of natural disasters, saving lives and reducing economic losses.
City Services
City services are also one of the drivers of smart cities. Through big data
technology, to analyze the public safety information that collected by
various IoT (Internet of Things) sensors, improves the urban residents‟
security awareness capabilities, and promotes economic growth and
creates more job opportunities.
3. Technology, Connectivity and IoT
Technology and connectivity are the cores of smart cities. From the broad
perspectives of protection, security, and operations, smart cities are a
collection of related technologies, and it requires the collaboration of various
government departments, companies, and even citizens.
IoT is very important for smart cities. IoT integrates various types of
sensor systems, providing them with ubiquitous network connectivity and
enabling low-cost processing of large amounts of data. The main structure of
IoT has three layers: the Sensing layer, the Network layer, and the Application
layer.
5. 3
(1) Sensing Layer: using RFID, sensors to get information of objects.
(2) Network Layer: through the integration of various telecommunications
networks and the Internet, the information of objects is accurately
transmitted in real time.
(3) Application Layer: the information got from sensor layer is processed to
achieve practical applications such as intelligent identification, positioning,
tracking, monitoring, and management.
LoRa and NB-IoT are the most promising IoT communication technologies
of Low Power Wide Area Network (LPWAN). The LPWAN can realize low
bandwidth, low power consumption, long distance, and large number of
connections. LPWAN can be divided into unlicensed and licensed spectrums.
LoRa works on unlicensed spectrum, and NB-IoT works on licensed spectrum.
However, what are their specific differences in smart city applications?
LoRa (Long Range)
A long distance wireless transmission scheme based on spread spectrum
technology adopted and promoted by Semtech Corporation of the United
States. The LoRa network is mainly composed of end device (with a
built-in LoRa module), gateway (or base station), server, and cloud. The
application data can be transmitted in both directions.
6. 4
The formation of LoRa's network is as the following figure. A remote node
can connect to a back-end network server through multiple gateways and
upload the data to the cloud or server. In a LoRa network, each node does
not connect to each other. It must connect to the gateway before it can
connect back to the central host, or it can send data to another node
through the central host. The message of the end node can be transmitted
to multiple gateways at the same time, and the message can also be
bridged by the gateway to further extend the transmission distance.
Picture Source: SEMTECH Corp.
LoRa vs. LoRaWAN
LoRa is a wireless modulation mechanism that can produce long-distance
communication paths. Many wireless communication technologies use
FSK as a physical layer because this is an effective way to achieve low
power consumption. LoRa is based on chirp spread spectrum modulation,
which can not only achieve low power consumption similar to FSK, but
also increase communication distance more effectively.
LoRaWAN is used to define the communication protocol and system
architecture of the network. It is a low-power wide area network standard
introduced by the LoRa Alliance, which can effectively achieve long-range
communication at the LoRa physical layer. It has a profound effect on the
end node's battery lifetime, network capacity, service quality, security, and
suitable application scenarios. In short, LoRaWAN is actually a network
(WAN = Wide Area Network).
7. 5
LoRa Advantage
As shown in below figure, LoRa has the advantages of long distance, low
power consumption, and low cost. The range of transmission distance of
LoRa is as long as 15 to 20 kilometers; low power consumption features
extend the battery lifetime; the unlicensed band, infrastructure, and end
node devices cost are also low. These features have greatly reduced the
cost of using LoRa.
Picture Source: LoRa® Alliance
NB-IoT (Narrow Band Internet of Things)
A technical standard defined by the 3GPP standardization organization. It
is a narrowband radio frequency technology that designed for the Internet
of Things. NB-IoT focuses specifically on indoor coverage, low cost, long
battery lifetime, and enabling a large number of connected devices. The
NB-IoT technology is deployed “in-band” in spectrum allocated to Long
Term Evolution (LTE), using resource blocks within a normal LTE carrier
(or in the unused resource blocks within an LTE carrier‟s guard-band) or
“standalone” for deployments in dedicated spectrum. It is also suitable for
the re-farming of GSM spectrum.
Picture Source: Ericssion Website
8. 6
NB-IoT Advantage
(1) Low power consumption
Almost all IoT technologies are extremely power-efficient when they
are not working; a small amount of power is required when the
modem needs signal processing after it is started. In addition, NB-IoT
does not need to run on Linux or handle many signal instructions,
which makes it more power-efficient.
(2) Lower cost of NB-IoT components
NB-IoT will be cheaper due to the simpler manufacturing process. A
200kHz NB-IoT front-end processor and digitizer is much simpler
than the 1.4MHz LTE module. As more wafer manufacturers tend to
support both, a smooth transition should be achieved in the future.
(3) Widely deployment
NB-IoT can be deployed more widely because the frequency is lower.
The lower frequency will have better connection quality.
LoRa vs. NB-IoT
The biggest difference between LoRa and NB-IoT is the frequency band,
service quality and cost. Simply put, LoRa works in unlicensed bands
below 1 GHz, so there is no extra charge for applications. NB-IoT use
licensed bands below 1 GHz, but guarantee service quality.
A complete smart city must provide the following features:
Comprehensive information gathering to prevent security threats
Information helps prevent specific threats or situations. Information
gathering is the most difficult part of a smart city. In the information
gathering phase, big data can be used to analyze the data collected by
various types of IoT sensors in the smart city system.
The IoT sensors, including video surveillance cameras, audio and video
analysis equipment, weather sensors, moisture sensor, PM2.5 sensor,
and temperature sensor, will actively collect various kinds of information
and automatically report to the big data analysis platform. For example,
video-based identification technologies such as face and license plates
will help police to identify suspicious individuals and vehicles and play an
important role in the detection of cases.
9. 7
In addition, the cloud architecture can provide powerful processing
capabilities for big data analysis, IoT, and related necessary applications.
Therefore, the ability to collect, analyze, and integrate information based
on these technologies makes the city security on early warning and
prevention more efficient and accurate.
Real-time emergency response to improve the collaboration ability
among departments
When an emergency event happened, the city administrator must quickly
and accurately identify the security threats and make quick decisions to
prevent the situation from worsening. However, the security incidents are
often very complex and require multiple departments to work together.
In order to improve the collaboration capabilities of multiple departments,
the audio, video, GPS, and information data sharing systems has been
integrated to a unified cloud platform, for achieving full integration of video
surveillance, conferencing, and LTE technologies.
Through this cloud platform, a comprehensive general operational
situation map can be presented for relevant departments, which greatly
improve the user‟s situational awareness ability, provide a basis for fast
decision-making for the city administrator, and improve the real-time
emergency response efficiency of various departments in the city.
Quickly find clues, pinpoint and analyze
After the event, the city administrator must quickly investigate and analyze
the data collected by the IoT sensors to find out the root cause of the
event. Big Data is another powerful investigation tool that can analyze the
data associations of different sensors, identify key features, and help you
discover the root cause.
Cloud technology provides optional infrastructure and necessary
processing power for video analytics and big data applications. In addition,
the cloud technology also provides solutions for video storage problems.
Especially for portable cameras that are not suitable for traditional storage
solutions, cloud technology solves their storage problems. Another benefit
of the cloud network is that it supports a larger number of users and
effectively saves time for subsequent investigations.
10. 8
4. Video Surveillance and Video Analysis
Smart cities effectively protect public places in cities such as parks,
streets, parking lots and other public areas by covering video surveillance
cameras. The video screen provides key evidence for various types of security
events, such as terrorist attacks, petty theft, illegal graffiti, or shoplifting. Video
surveillance is also an integral part of urban emergency solutions, providing
on-site video information to police and government agencies to assist in
real-time decision-making.
Due to the advancement and development of technology, video analytics
has been able to reliably track people, identify targets, and mitigate the effects
of variable weather. In addition, combining audio analysis with social media
analysis techniques can help making smarter decisions.
5. Management and Control
The management and control center system is the heart of a smart city. It
integrates the following technologies:
Alarm System
The first step in emergency response is to answer the alarm call. A good
alarm system should be able to provide a friendly user interface, easy
access to all types of information sources in order to provide an efficient
solution.
Global Positioning System (GPS)
Uses different levels of geographic data to create a comprehensive map
system, and supports geographic information querying and decision
making. The GPS system aggregates data from various sources and
displays complex spatial information in a simple and easy-to-understand
manner, allowing users to easily organize, analyze, and view specific
data.
File Management Program
The management center accurately records the historical events
generated from the historical alarm call, enabling the police to easily
obtain historical event information.
11. 9
Video Dispatch
At the dispatch center, the operator uses the headset and microphone of
the management and control system to talk to one, a group, or all users.
Through the video dispatch, the on-site emergency team can send
real-time data back to the management center in a timely manner.
Providing reliable and high-quality audio and video communications for
the on-site emergency team is an essential capability for management
and control systems.
Integration is the most important thing for management and control
systems, and it is also the key point of future development. Through the
integration with all sensors and data sets, management and control solutions
can improve the operator's situational awareness and success rate of
emergency.
6. Cloud Technology
Under the cloud architecture, software, hardware, applications, and
storage can all be provided as services. The cloud network service has the
advantages of easy expansion, rapid adjustment, and minimal management,
and can dynamically meet increasing demands. Users can access the data
which stored on the cloud anywhere, anytime, and seamlessly share to any
authorized users.
More and more cities around the world have begun to use cloud
technologies in smart city projects, such as China, which use scalable,
affordable cloud technologies to replace traditional security systems. The
smart city uses video surveillance as a service solution and deploys hundreds
of cameras without any capital expenditures. Similarly, various types of IoT
sensors, such as weather sensors, moisture sensors, PM2.5 sensors,
temperature sensors, and GPS services will provide management and control
functions in the form of cloud services that benefit future city management
centers.
12. 10
7. Conclusion
Smart city has a growing demand to improve the security and
sustainability of urban spaces while reducing costs and resources
consumption. Civic resources are under pressure and crime is harder than
over to police authorities. However, the basis of smart cities is data,
connectivity, and interoperability, which in turn provides more efficient
emergency services and faster threat defense processes to improve urban
space and achieve public safety.
WoMaster„s Embedded Smart City Box - SCB1000/1200 series can easily
integrate new connected devices and services, and help city administrators
making the decisions more accurately and efficiently. Below are the key
features of this product:
Full system integration with IP67 enclosure for outdoor applications
Smart city surveillance/IOT solution requires being installed in outdoor
environments, such as street light, traffic light, or wall/roof in the field. With
the IP67 waterproof box, it can be easily installed outdoors, avoiding the
equipment failure caused by wind and rain.
Support UPoE and PoE+, and PoE scheduling
In the outdoor environment, sometimes the power supply is not so easy to
find. The SCB1000/1200 supports four ultra-high-power PoE ports, which
can supply power to the PoE cameras and remotely manage the cameras.
The scheduling function allows you for enabling and disabling of the
power delivery.
Audio interface for connecting the Speaker and Microphone
Event trigger with audio speaker when SCB system is ready, Wi-Fi
connected, and PoE power delivered, saving the installation and
debugging time for engineer and administrator.
G.8032 v1/v2 ERPS Ring Redundancy
SCB1000/1200 supports ERPSv2 Ring Redundancy, can connect with
other devices/switches in the Major Ring or Sub Ring for redundancy.
Less than 15ms fast failover time when failures occur in any nodes in any
rings.
Support LTE & Wi-Fi connection
Laptop and Cell phone is able to connect to Wi-Fi (IEEE802.11ac) and
then through the LTE routing via SCB1000/1200 for surfing on internet.
13. 11
Local RS232 interface and LoRa support for IoT devices
The SCB1000/1200 supports RS232 and LoRa and can connect to
various IoT devices such as PM2.5 sensors, moisture sensors,
temperature sensors. In addition, it can be monitored via cell phone or
laptop with SCB status, GPS, LTE Signal, PoE Temp., and external PM2.5
sensor for Industrial IoT applications.
Option Solar charger
Since the SCB1000/1200 can be installed in various outdoor
environments such as street lights, traffic signs or on-site walls/roofs, it is
necessary to support different power inputs. The solar panels and
batteries can also provide power to IoT sensors when there is a problem
with the power supply.
Applicable to the all monitoring of smart city
Apply to Nursing Home monitoring, Video Surveillance, City Services,
Pollution monitoring, Transportation monitoring, Traffic monitoring and
Parking monitoring applications.
14. 12
The Safety City and Bright Project in China are both important
components of smart city construction. With the successful launch of
WoMaster Smart City Box, system integrators can easily install SCB1000/1200
on roadside power towers, street lights and wall mount on the walls or roofs,
further reduce costs.
The SCB1000/1200 is fully complies with the eight-character guideline of
"Intensive, Green, Intelligent and Low-carbon", and will surely promote the
pace of new-type urbanization.
If you still want to know more, please contact us at help@womaster.eu.
About WoMaster
WoMaster Group is an international group based in Europe, with over 20
years of industrial market experience. We provide rugged products with
customer oriented support for critical applications such as railway, power and
utility, waste water, intelligent transportation and IP surveillance.
The WoMaster brand‟s name distinguishes our target markets as well as
symbolizes the nature sources which enforced us to become Master brand for
Industrial Data Communication Market.