Widespread adoption of TCI/IP protocols over the last two decades appears on the surface to have created a lingua franca for computer networking. And with the emergence of IPv6 removing the addressing restrictions of earlier versions, it would appear that now every device in the world may easily be connected with a common protocol.
But three emerging factors are requiring a fresh look at this worldview. The first is the coming wave of sensors, actuators, and devices making up the Internet of Things (IOT). Although not yet widely recognized, it is beginning to be understood that a majority of these devices will be too small, too cheap, too dumb, and too copious to run the hegemonic IPv6 protocol. Instead, much simpler protocols will predominate (see below), which must somehow be incorporated into the IP networks of Enterprises and the Internet.
At the other end of the scale from these tiny devices are huge Enterprise networks, increasing movingly to the cloud for computing and communication resources. An important requirement of these Enterprises is the capacity to manage, control, and tune their networks using a variety of Software Defined Networking (SDN) technologies and protocols. These depend on computing resource at the edges of the network to manage the interactions.
The third element is a conundrum presented by the first two: Enterprises will be struggling with the need to bring vast numbers of simple IOT devices into their networks. Though many of these devices will lack computing and protocol smarts, the requirement will still remain to manage everything via SDN. Along with this, many legacy Machine-to-Machine (M2M) networks (such as those on the factory floor) present the same challenges as the IOT: simple and/or proprietary protocols operating in operational silos today that Enterprises desire to manage and tune with SDN techniques.
The Internet of Things IoT infuses our everyday life, e.g., in the area of health monitoring, wearables, industry, and home automation. It comprises devices that provide only limited resources, operate in stimulating network conditions, and are often battery powered. To embed these devices into the Internet, they are intended to operate standard events. Yet, these procedures occupy the majority of limited program memory resources. Thus, devices can neither add application logic nor apply safety updates or adopt optimizations for efficiency. This problem will further exacerbate in the future as the further ongoing infusion of smart devices in our environment demands for more and more functionality. To overcome limited functionality due to resource limitations, we show that not all functionality is required in parallel, and thus can be SPLIT in a feasible manner. This enables on demand loading of functionality outsourced as multiple modules to the significantly lesser controlled flash storage of devices. J. Gokul | S. Venkateshkumar "Smart Protocol Loading for the IoT" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29354.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/29354/smart-protocol-loading-for-the-iot/j-gokul
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Managed Connectivity describes the reality that, for the first time ever, your entire Layer 1 network will be automatically documented with 100% accuracy using Connection Point ID.
The Internet of Things IoT infuses our everyday life, e.g., in the area of health monitoring, wearables, industry, and home automation. It comprises devices that provide only limited resources, operate in stimulating network conditions, and are often battery powered. To embed these devices into the Internet, they are intended to operate standard events. Yet, these procedures occupy the majority of limited program memory resources. Thus, devices can neither add application logic nor apply safety updates or adopt optimizations for efficiency. This problem will further exacerbate in the future as the further ongoing infusion of smart devices in our environment demands for more and more functionality. To overcome limited functionality due to resource limitations, we show that not all functionality is required in parallel, and thus can be SPLIT in a feasible manner. This enables on demand loading of functionality outsourced as multiple modules to the significantly lesser controlled flash storage of devices. J. Gokul | S. Venkateshkumar "Smart Protocol Loading for the IoT" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29354.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/29354/smart-protocol-loading-for-the-iot/j-gokul
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Managed Connectivity describes the reality that, for the first time ever, your entire Layer 1 network will be automatically documented with 100% accuracy using Connection Point ID.
Software Defined Networking (SDN): A Revolution in Computer NetworkIOSR Journals
Abstract: SDN creates a dynamic and flexible network architecture that can change as the business
requirements change. The growth of the SDN market and cloud computing are very much connected. As the
applications change and the network is abstracted, virtualization become a necessary step and SDN serves as
the fundamental building blocks for the network. Traditional networking devices are composed of an embedded
control plane that manages switching, routing and traffic engineering activities while the data plane forwards
packet/frames based on traffic. In SDN architecture, control plane functions are removed from individual
networking devices and embedded in a centralizedserver. The SDN controller makes all traffic related decisions
in the network without nodes active participation, as opposed to today’s networks.
Keyword-API, cloud computing, IT, middleware, OpenFlow, SDN
A Centralized Network Management Application for Academia and Small Business ...ITIIIndustries
Software-defined networking (SDN) is reshaping the networking paradigm. Previous research shows that SDN has advantages over traditional networks because it separates the control and data plane, leading to greater flexibility through network automation and programmability. Small business and academia networks require flexibility, like service provider networks, to scale, deploy, and self-heal network infrastructure that comprises of cloud operating systems, virtual machines, containers, vendor networking equipment, and virtual network functions (VNFs); however, as SDN evolves in industry, there has been limited research to develop an SDN architecture to fulfil the requirements of small business and academia networks. This research proposes a network architecture that can abstract, orchestrate, and scale configurations based on academia and small business network requirements. Our results show that the proposed architecture provides enhanced network management and operations when combined with the network orchestration application (NetO-App) developed in this research. The NetO-App orchestrates network policies, automates configuration changes, secures container infrastructure, and manages internal and external communication between the campus networking infrastructure.
TRUST BASED ROUTING METRIC FOR RPL ROUTING PROTOCOL IN THE INTERNET OF THINGSpijans
While smart factories are becoming widely recognized as a fundamental concept of Industry 4.0, their implementation has posed several challenges insofar that they generate and process vast amounts of security critical and privacy sensitive data, in addition to the fact that they deploy IoT heterogeneous and constrained devices communicating with each other and being accessed ubiquitously through lossy networks. In this scenario, the routing of data is a specific area of concern especially with the inherent constraints and limiting properties of such devices like processing resources, memory capacity and battery life. To suit these constraints and to provide the required connectivity, the IETF has developed several standards, among them the RPL routing protocol for Low powerand Lossy Networks (LLNs). However, and even though RPL provides support for integrity and confidentiality of messages, its security may be compromised by several threats and attacks. We propose in this work TRM-RPL, a Trust based Routing Metric for the RPL protocol in an IIoT based environments. TRM-RPL uses a trust management mechanism to detect malicious behaviors and resist routing attacks while providing QoS guarantees. In addition, our model addresses both node and link trust and follows a multidimensional approach to enable
an accurate trust assessment for IoT entities. TRM-RPL is implemented, successfully tested and compared with the standard RPL protocol where its effectiveniness and resilience to attacks has been proved to be better.
Candidate solutions to improve Wireless Mesh Networks WMNs performance to mee...ijcseit
96% market share of existing Smart Grid network installations is wireless mesh networks [1]. The paper starts by justifying the selection of WMNs as opposed to any other communication technology based on quantifying the bandwidth/latency/QoS constraints of a number of Smart Grid applications. The main objective of this paper, however, is to discuss some optimization techniques that found in the literature and can be implemented to overcome some of the challenges currently being faced by WMNs deployment in Smart Grid’s NANs. Hybrid WMN (HWMN) is proposed as an optimization on the topology level to leverage WMNs convergence. Distributed Autonomous Data Routing DADR, multigate and diversity routing are optimizations on the protocol level to minimize the down time of WMNs. Cognitive Radio is investigated as an optimization on the physical level. The paper also explores the feasibility of using Wireless Software Defined Networks WSDN to improve the overall visibility and manageability of WMNs
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Internet Of Things(IoT) is emerging technology in future world.The term IoT comprises of Cloud computing, Data mining,
Big data analytics, hardware board. The Security and Interoperability is a main factor that influences the IoT Enegy
consumption is also main fator for IoT application designing.The various protocols such as MQTT,AMQP,XMPP are used in
IoT.This paper analysis the various protocols used in Internet of Things.
Ericsson Review: Capillary networks – a smart way to get things connectedEricsson
A capillary network is a local network that uses short-range radio-access technologies to provide local connectivity to things and devices. By leveraging the key capabilities of cellular networks – ubiquity, integrated security, network management and advanced backhaul connectivity – capillary networks will become a key enabler of the Networked Society.
Software Defined Networking (SDN): A Revolution in Computer NetworkIOSR Journals
Abstract: SDN creates a dynamic and flexible network architecture that can change as the business
requirements change. The growth of the SDN market and cloud computing are very much connected. As the
applications change and the network is abstracted, virtualization become a necessary step and SDN serves as
the fundamental building blocks for the network. Traditional networking devices are composed of an embedded
control plane that manages switching, routing and traffic engineering activities while the data plane forwards
packet/frames based on traffic. In SDN architecture, control plane functions are removed from individual
networking devices and embedded in a centralizedserver. The SDN controller makes all traffic related decisions
in the network without nodes active participation, as opposed to today’s networks.
Keyword-API, cloud computing, IT, middleware, OpenFlow, SDN
A Centralized Network Management Application for Academia and Small Business ...ITIIIndustries
Software-defined networking (SDN) is reshaping the networking paradigm. Previous research shows that SDN has advantages over traditional networks because it separates the control and data plane, leading to greater flexibility through network automation and programmability. Small business and academia networks require flexibility, like service provider networks, to scale, deploy, and self-heal network infrastructure that comprises of cloud operating systems, virtual machines, containers, vendor networking equipment, and virtual network functions (VNFs); however, as SDN evolves in industry, there has been limited research to develop an SDN architecture to fulfil the requirements of small business and academia networks. This research proposes a network architecture that can abstract, orchestrate, and scale configurations based on academia and small business network requirements. Our results show that the proposed architecture provides enhanced network management and operations when combined with the network orchestration application (NetO-App) developed in this research. The NetO-App orchestrates network policies, automates configuration changes, secures container infrastructure, and manages internal and external communication between the campus networking infrastructure.
TRUST BASED ROUTING METRIC FOR RPL ROUTING PROTOCOL IN THE INTERNET OF THINGSpijans
While smart factories are becoming widely recognized as a fundamental concept of Industry 4.0, their implementation has posed several challenges insofar that they generate and process vast amounts of security critical and privacy sensitive data, in addition to the fact that they deploy IoT heterogeneous and constrained devices communicating with each other and being accessed ubiquitously through lossy networks. In this scenario, the routing of data is a specific area of concern especially with the inherent constraints and limiting properties of such devices like processing resources, memory capacity and battery life. To suit these constraints and to provide the required connectivity, the IETF has developed several standards, among them the RPL routing protocol for Low powerand Lossy Networks (LLNs). However, and even though RPL provides support for integrity and confidentiality of messages, its security may be compromised by several threats and attacks. We propose in this work TRM-RPL, a Trust based Routing Metric for the RPL protocol in an IIoT based environments. TRM-RPL uses a trust management mechanism to detect malicious behaviors and resist routing attacks while providing QoS guarantees. In addition, our model addresses both node and link trust and follows a multidimensional approach to enable
an accurate trust assessment for IoT entities. TRM-RPL is implemented, successfully tested and compared with the standard RPL protocol where its effectiveniness and resilience to attacks has been proved to be better.
Candidate solutions to improve Wireless Mesh Networks WMNs performance to mee...ijcseit
96% market share of existing Smart Grid network installations is wireless mesh networks [1]. The paper starts by justifying the selection of WMNs as opposed to any other communication technology based on quantifying the bandwidth/latency/QoS constraints of a number of Smart Grid applications. The main objective of this paper, however, is to discuss some optimization techniques that found in the literature and can be implemented to overcome some of the challenges currently being faced by WMNs deployment in Smart Grid’s NANs. Hybrid WMN (HWMN) is proposed as an optimization on the topology level to leverage WMNs convergence. Distributed Autonomous Data Routing DADR, multigate and diversity routing are optimizations on the protocol level to minimize the down time of WMNs. Cognitive Radio is investigated as an optimization on the physical level. The paper also explores the feasibility of using Wireless Software Defined Networks WSDN to improve the overall visibility and manageability of WMNs
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Internet Of Things(IoT) is emerging technology in future world.The term IoT comprises of Cloud computing, Data mining,
Big data analytics, hardware board. The Security and Interoperability is a main factor that influences the IoT Enegy
consumption is also main fator for IoT application designing.The various protocols such as MQTT,AMQP,XMPP are used in
IoT.This paper analysis the various protocols used in Internet of Things.
Ericsson Review: Capillary networks – a smart way to get things connectedEricsson
A capillary network is a local network that uses short-range radio-access technologies to provide local connectivity to things and devices. By leveraging the key capabilities of cellular networks – ubiquity, integrated security, network management and advanced backhaul connectivity – capillary networks will become a key enabler of the Networked Society.
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.”
Finding your Way in the Fog: Towards a Comprehensive Definition of Fog ComputingHarshitParkar6677
The cloud is migrating to the edge of the network, where
routers themselves may become the virtualisation infrastructure,
in an evolution labelled as “the fog”. However, many
other complementary technologies are reaching a high level
of maturity. Their interplay may dramatically shift the information
and communication technology landscape in the
following years, bringing separate technologies into a common
ground. This paper offers a comprehensive definition
of the fog, comprehending technologies as diverse as cloud,
sensor networks, peer-to-peer networks, network virtualisation
functions or configuration management techniques. We
highlight the main challenges faced by this potentially breakthrough
technology amalgamation.
Evolving the service provider architecture to unleash the potential of IoT - ...FrenchWeb.fr
D'ici 2020, il y aura plus de 28 milliards d'objets connectés installés, et le marché présentera un potentiel de 7 trillions de dollars, selon les résultats de l'étude. Pour atteindre ces niveaux de performances, les infrastructures de réseau actuelles doivent cependant évoluer, pour gérer les grandes quantités de données qui seront produites, le nombre croissant de connexions qui auront lieu sur ces réseaux, ou encore assurer la sécurité de ces infrastructures.
Similar to The Abstracted Network for Industrial Internet (20)
Chirp_Primer_Slides:ULtra Low Power Edge ConnectivityMeshDynamics
The only systems on earth that have ever scaled to the size & scope of the Internet of things are natural systems: pollen distribution, ant colonies, redwoods, and so on. This proposal outlines how Massive IoT may be achieved by rethinking last mile connectivity. Today’s last mile is crippled by proprietary transport protocols, not sustainable. EdgeCloud thinking focused on smarts at the radio end to manage collision avoidance by segmenting collision domains in RF space (channel diversity) and time (time reservation slots). Current IoT Radios have to be “smart” because they use phones and computers as carrier pigeons to connect. These devices, intended for humans are rechargeable and thus not energy constrained. They can afford power hungry communication protocols. In order to communicate, the IoT edge devices must then also confirm to protocols and RF channels supported – or provide private networks.
Conversely, in Cloud->Edge thinking, we let Clouds manage ant-like reprogrammable intelligence – purpose driven, minimal processing and thus low power usage and cheap. A 433 MHz wireless modem costs $0.10. A WiFi and Bluetooth wireless chipset costs $20. Also CSMA/CA protocols are inherently inefficient and insecure without “heavy” encryption on top of a heavy protocol. An IP header is 40 bytes vs. 1-2 bytes for Chirp headers. Chirp protocols and their minimal hardware cleanly cut through all Gordian knots in Fig. above. The Edge can be small dumb cheap and copious. Think sensor grids for forest fires, air and ocean pollution..Key Points addressed in this presentation relate to “CloudEdge” thinking. A. Global-Scale “Edge” challenges are: simplicity, cost, energy & (as always) security. B. Chirpers don’t need heavy OSI stack -> minimal power and cost for connectivity. C. Software Driven Mesh for the Edge -> Moves Chirping Edge Intelligence to Cloud. D. Trusted walled gardens become globally relevant through our imprinted chipsets. E. Massive IoT – burgeons with Cloud messaging and AI Globally Relevant Solutions.Please see Chirp_Primer - intended as a prelude for these slides - for more. Thank you for your consideration. Your feedback is welcomed. Francis daCosta Jan 2024.
Francis da costa rethinks the internet of things zd_netMeshDynamics
https://www.zdnet.com/article/francis-dacosta-rethinks-the-internet-of-things/ and see
https://thefrugalnetworker.files.wordpress.com/2014/05/francis_dacosta_rethinking_the_internet_of_things.mp3
Over the past decade, Meshdynamics has supplied customized versions of our mesh networking software to OEMs that include multiple military contractors, industrial mining solution providers and industrial network equipment manufacturers.
The core mesh software was ported to run on boards (processors) and radios of the customer's choosing. Meshdynamics system integrators, working directly with the OEM licensee, developed the finished product. The intellectual property and trade secrets related to their new or upgraded products was thus preserved.
Post 2014, Meshdynamics developed a generic, customizable suite of software modules to accelerate time to market for OEMS requiring mesh network connectivity to be baked into their connected devices. The tools include simulation and test automation tools specific to mesh networking and working source code for exemplary board-radio ensembles.
Towards Rapid Implementation of Adaptive Robotic SystemsMeshDynamics
Current automation design practice produces expensive one-of-a-kind installations where the system cannot be easily modified to
meet changing demands or advancements in technology. It is imperative that we design robot systems to be modular, portable and
easily re-configurable in order to reduce the design lead times and life cycle costs of providing automation alternatives.
The Unified Tele-robotics Architecture Program (UTAP) was developed under the sponsorship of the US Air Force Robotics and
Automation Center of Excellence. A goal of the program was to define and develop prototypes of commonly used software building
blocks for sensor guided real time embedded control of telerobotic devices. Standard building blocks and a non-proprietary
communication protocols would provide the Air Force and specifically the Logistic Centers with a support infrastructure designed to
rapidly and efficiently build and maintain mission critical automation systems.
An Integrated Prototyping Environment For Programmable AutomationMeshDynamics
We are implementing a rapid prototyping environment for robotic systems, based on tenets of modularity,
reconfigurability and extendibility that may help build robot systems "faster, better and cheaper". Given a task
specification, (e.g. repair brake assembly), the user browses through a library of building blocks that include both
hardware and software components. Software advisors or critics recommend how blocks may be "snapped" together to
speedily construct alternative ways to satisfy task requirements. Mechanisms to allow "swapping" competing modules
for comparative test and evaluation studies are also included in the prototyping environment. After some iterations, a
stable configuration or "wiring diagram" emerges. This customized version of the general prototyping environment still
contains all the hooks needed to incorporate future improvements in component technologies and to obviate unplanned obsolescence...
The Abstracted Network for Industrial Internet- SlidesMeshDynamics
Taking cues from Nature, MeshDynamics is extending concepts outlined in the book “Rethinking the Internet of Things” to address challenges in supporting robust, real time, secure, scalable, subscribable messaging for our OEM licensees and their applications in Military and Industrial Internet (IIOT). Unclassified Section of Presentation.
http://www.slideshare.net/DaCostaFrancis/the-abstracted-network-for-industrial-internet
MeshDynamics Internet of Things (IoT) initiatives are in partnership with the US Military agencies and our commercial OEM licensees.
Our embedded software runs on OpenWRT and MAC80211. Network processors supported, include Intel, Cavium, MIPS. OEM Customer applications, running on the routers, support real time, secure, M2M Machine control. Kernel level applications provide real time translation and encapsulation of Native Machine protocols and their transmitters (e.g. LED remote).
MeshDynamics routers thus support low power IoT "chirp" devices, see "Rethinking the Internet Of Things". [Slides] [Jolt Award]
Author Francis daCosta, previously founded Advanced Cybernetics Group, providing robot control system software for mission critical applications, including both local and supervisory real time M2M control. At MITRE, he served as an advisor to the United States Air Force Robotics and Automation Center of Excellence (RACE). Francis also held senior technical positions at Northrop Grumman, Ingersoll-Rand, Xerox. He has a MS from Stanford University and BS from Indian Institute of Technology.
Scale-able Internet of Things (Presented June 12015) MeshDynamics
Scalable, Mission Critical Mesh Networking for Internet of Things.that support resource constrained devices, operating with Native Machine protocols, rudimentary communications capabilities. These simpler devices communicate with trusted routers through custom interfaces (e.g. LED remote). Custom routers also run applications providing the processing needed for low cost devices connectivity. The framework supports dynamic, temporal and mobile mesh networking infrastructure for both IP and non IP based devices. Applications use local processing power for both analysis (e.g. deep packet inspection) and control (e.g Real time M2M control). OEM Licensees include the US Military.
The only systems on earth that have ever scaled to the size and scope of the Internet of Things are natural systems: pollen distribution, ant colonies, redwoods, and so on. From examining these natural systems, I developed the concept of the three-tiered IoT network architecture described in the book: simple end devices, networking specialist propagator nodes, and information-seeking integrator functions operating within an organically grown ecosystem
Open Source For Self Classification of Data Stream in the Internet Of Things. MeshDynamics
It is well understood that the Internet of Things represents unprecedented challenges of scope, with trillions of appliances, sensors, and actuators expected to be connected over the coming years. What is not yet appreciated is that current peer-to-peer networking schemes will be unable to create the kind of publish / discover / subscribe architectures that will be needed. Instead, a new type of self-classified data stream is needed, which can only be enabled by open-source collaborations in defining and implementing the emerging architecture of the IoT. Mr. daCosta will explore the implications of open source for end devices and networking equipment, as well as describing how even proprietary IoT data flows can help build an open source implementation.
Presented at IoTWorldEvent, June 16, 2014
MeshDynamics P3M Persistent and Dynamic Mesh NetworksMeshDynamics
MeshDynamics has enhanced its industry-leading MD4000 third generation WiFi wireless mesh nodes with new features offering better performance and reliability in mobile or mixed fixed/mobile environments. The new software, called Persistent 3rd-Generation Mesh (P3M) is intended for dynamic military, transportation, and public safety applications, as well as in critical applications such as mine safety.
In recent tests, the company demonstrated persistent high-throughput and low-delay and low-jitter networking as mobile wireless mesh nodes connected automatically with other mobile and fixed wireless mesh nodes. As some elements of the network moved out of WiFi range from other nodes, they automatically formed into separate independent networks, allowing communication to continue. When brought back into range, these network elements seamlessly reconnected with the rest of the network. All of this occurred without any operator intervention or reconfiguration and the process takes place in a fraction of a second.
MeshDynamics MD4000 nodes are already being used in tactical battlefield environments to transmit video, voice, and sensor data between moving armored vehicles. The new P3M features now allow for smaller groups that become separated from the main formation or column to maintain the same high performance among themselves while isolated, and then automatically rejoin the larger force when they again come into range.
The P3M features have also been proven in demanding underground mining environments, where possible cave-ins and other disasters may lead to a section of the network becoming isolated from the main portion of the network. With P3M technology, miners in the isolated sections may still communicate with one another, providing persistent Voice-over-IP and location capabilities and potentially speeding rescue.
Third-generation wireless mesh networking has always delivered higher performance in rooted environments than does traditional wireless mesh technology. This is primarily achieved through imposing a logical Structured MeshTM topology on the mesh network, with uplink and downlink paths minimizing turnaround and multiple radios optimizing performance. Typically, the "uplink" and "downlink" determinations have been made by the nodes themselves at network start-up, based on the location of the fixed fiber or copper connection to the Internet or enterprise backbone.
But the new P3M technology allows the nodes to structure the network dynamically, even if there is no fixed connection anywhere in the network or if the fixed connection is lost. Patent-pending route-finding algorithms permit the nodes to establish the optimal topology rapidly and to reconfigure quickly as nodes move in relation to one another and any fixed points. This allows for persistent high-performance networking, regardless of the topology formed by the mobile nodes.
MeshDynamics Mesh Networks - Video SurveillanceMeshDynamics
MeshDynamics provides the network infrastructure to make a fully distributed IP surveillance system possible for cameras, video servers, storage clusters, custom applications and remote viewing to be located in any location.
The Department of Homeland Security (DHS) and SPAWAR engineers selected MeshDynamics Wi-Fi mesh nodes to provide remote video surveillance for stationary and vehicle mounted cameras along the US national border. IP cameras are connected to the MeshDynamics MD4000 mesh nodes transmitting high resolution real time video over the mesh network to the base station video monitors. Live video feeds from the IP based cameras is also available via the MeshDynamics mesh network to patrol vehicles with wireless access. Mobile nodes mounted in security forces vehicles join the network dynamically and while in motion. Service radios in the vehicles provide connectivity for staff in vehicles and operating nearby. In similar applications, UK, Israeli and Canadian defense agencies have also selected MeshDynamics for wireless video surveillance applications in those countries
Installing and Troubleshooting MeshDynamics Wireless Mesh Networks. Guidelines on network deployment, antenna selection, range calculations etc. See also MeshDynamics Layout Design and Best Practices Presentations.
MeshDynamics Mesh Networks- High Level OverviewMeshDynamics
MeshDynamics Third Generation Mesh Architecture: Earlier-generation mesh networking products perform poorly in multi-hop (node-to-node relay) environments. MeshDynamics' patented low latency multiple radio wireless mesh preserves high performance [over multiple hops] that's been available only in wired networks until today.
Military, Defense and Public Safety Mesh Networks [MeshDynamics]MeshDynamics
Modern warfare is network centric. Robust communication with IP based devices is key. This creates expectations of high performance over many hops, supporting static and mobile mesh nodes in one secure framework.
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
3) Evolution trends for the APIs of these projects
4) Some design recommendations & guidelines for adopting/ deploying these solutions.
# Internet Security: Safeguarding Your Digital World
In the contemporary digital age, the internet is a cornerstone of our daily lives. It connects us to vast amounts of information, provides platforms for communication, enables commerce, and offers endless entertainment. However, with these conveniences come significant security challenges. Internet security is essential to protect our digital identities, sensitive data, and overall online experience. This comprehensive guide explores the multifaceted world of internet security, providing insights into its importance, common threats, and effective strategies to safeguard your digital world.
## Understanding Internet Security
Internet security encompasses the measures and protocols used to protect information, devices, and networks from unauthorized access, attacks, and damage. It involves a wide range of practices designed to safeguard data confidentiality, integrity, and availability. Effective internet security is crucial for individuals, businesses, and governments alike, as cyber threats continue to evolve in complexity and scale.
### Key Components of Internet Security
1. **Confidentiality**: Ensuring that information is accessible only to those authorized to access it.
2. **Integrity**: Protecting information from being altered or tampered with by unauthorized parties.
3. **Availability**: Ensuring that authorized users have reliable access to information and resources when needed.
## Common Internet Security Threats
Cyber threats are numerous and constantly evolving. Understanding these threats is the first step in protecting against them. Some of the most common internet security threats include:
### Malware
Malware, or malicious software, is designed to harm, exploit, or otherwise compromise a device, network, or service. Common types of malware include:
- **Viruses**: Programs that attach themselves to legitimate software and replicate, spreading to other programs and files.
- **Worms**: Standalone malware that replicates itself to spread to other computers.
- **Trojan Horses**: Malicious software disguised as legitimate software.
- **Ransomware**: Malware that encrypts a user's files and demands a ransom for the decryption key.
- **Spyware**: Software that secretly monitors and collects user information.
### Phishing
Phishing is a social engineering attack that aims to steal sensitive information such as usernames, passwords, and credit card details. Attackers often masquerade as trusted entities in email or other communication channels, tricking victims into providing their information.
### Man-in-the-Middle (MitM) Attacks
MitM attacks occur when an attacker intercepts and potentially alters communication between two parties without their knowledge. This can lead to the unauthorized acquisition of sensitive information.
### Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) Attacks
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
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1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.