Mesh networking | Network topology
A mesh network is a local area network topology in which the infrastructure nodes (i.e. bridges, switches, and other infrastructure devices) connect directly, dynamically and non-hierarchically to as many other nodes as possible and cooperate with one another to efficiently route data to and from clients. This lack of dependency on one node allows for every node to participate in the relay of information. Mesh networks dynamically self-organize and self-configure, which can reduce installation overhead. The ability to self-configure enables dynamic distribution of workloads, particularly in the event a few nodes should fail. This in turn contributes to fault-tolerance and reduced maintenance costs. Mesh topology may be contrasted with conventional star/tree local network topologies in which the bridges/switches are directly linked to only a small subset of other bridges/switches, and the links between these infrastructure neighbours are hierarchical. While star-and-tree topologies are very well established, highly standardized and vendor-neutral, vendors of mesh network devices have not yet all agreed on common standards, and interoperability between devices from different vendors is not yet assured. (Wikipedia).
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
From playlist Networking
An intro to the core protocols of the Internet, including IPv4, TCP, UDP, and HTTP. Part of a larger series teaching programming. See codeschool.org
From playlist The Internet
Electrical Engineering: Ch 3: Circuit Analysis (9 of 37) Mesh Analysis with Voltage Sources
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain the general concept using mesh analysis of calculating circuits with current sources. Next video in this series can be seen at: https://youtu.be/kHeeOUUIYoI
From playlist ELECTRICAL ENGINEERING 3 CIRCUIT ANALYSIS
From playlist Week 9: Social Networks
What Is Network Topology? | Types of Network Topology | BUS, RING, STAR, TREE, MESH | Simplilearn
In this video on Network Topology, we will understand What is Network topology, the role of using topology while designing a network, Different types of Topologies in a Network. Network topology provides us with a way to configure the most optimum network design according to our requiremen
From playlist Cyber Security Playlist [2023 Updated]🔥
We're busy people who learn to code, then practice by building projects for nonprofits. Learn Full-stack JavaScript, build a portfolio, and get great references with our open source community. Join our community at https://freecodecamp.com Follow us on twitter: https://twitter.com/freecod
From playlist Networks
DEFCON 20: Off-Grid Communications with Android: Meshing the Mobile World
Speakers: OSH "M0NK" THOMAS BREAKER OF THINGS @ THE MITRE CORPORATION JEFF "STOKER" ROBBLE MITRE CORPORATION Before they were a team, the members of project SPAN thought it was highly limiting to only be able to network smart phones over standard Wi-Fi or with a Cellular infrastructure. H
From playlist DEFCON 20
#337 LoRa Off-Grid Mesh Communication: Meshtastic (ESP32, BLE, GPS)
Cool projects are rare. Here I found one I want to show to you. An off-grid personal communicator. It includes a lot of new technologies: ESP32, Smartphones, LoRa, BLE, GPS, Mesh, and as you see, 3D printing. And it solves a problem that could be seen as a human right: Personal SMS style c
From playlist ESP32
Lecture 6: Gauge-equivariant Mesh CNN - Pim de Haan
Video recording of the First Italian School on Geometric Deep Learning held in Pescara in July 2022. Slide: https://www.sci.unich.it/geodeep2022/slides/2022-07-27%20Mesh%20-%20First%20Italian%20GDL%20School.pdf
From playlist First Italian School on Geometric Deep Learning - Pescara 2022
The Sidecar model is often used in Kubernetes deployments to add common tools like observability, service mesh and security into application pods. eBPF is a kernel technology that lets us dynamically change the way that the kernel behaves - and it’s revolutionizing the way we instrument a
From playlist Containers
PointTriNet: Learned Triangulation of 3D Point Sets - ECCV 2020
by Nicholas Sharp and Maks Ovsjanikov presented at ECCV 2020 webpage: http://nmwsharp.com/research/learned-triangulation arxiv: http://arxiv.org/abs/2005.02138 code: http://github.com/nmwsharp/learned-triangulation (including pretrained model) Abstract: This work considers a new task in
From playlist Research
Computer Networks. Part Four: LAN Topology
This is fourth in a series about computer networks. The word topology refers to the layout and wiring of a local area network. This video describes the main layouts including the bus, the star, the ring and the mesh, in terms of their advantages and disadvantages. It also describes the
From playlist Computer Networks
DevOpsDays Boston 2022: Thomas Stringer - Zero to Secure: Using Open Service Mesh to Easily...
Thomas Stringer - Zero to Secure: Using Open Service Mesh to Easily Reduce Your Kubernetes Attack Surface As applications are being built on modern platforms like the cloud and Kubernetes, we need to continue to answer these important security questions: Who can access what? What happens
From playlist DevOpsDays Boston 2022
What Is Mesh Wifi? Smart Home Must Haves
What Is Mesh Wifi? Smart Home Must Have. If you’re anything like me, then you probably have dozens of things like phones, tablets, laptops, game consoles, media streaming boxes, and smart home devices all vying for a solid WiFi connection. A mesh wifi network may be the answer. ▻ Blog p
From playlist Smart Home and Automation
DDPS | Learning physical simulation with graph network
Talk Abstract While machine learning models promise to significantly speed up numerical simulations, they are often only accurate in a very narrow range around the training data. In this talk we will present our recent work on neural graph architectures for learning physical dynamics end-
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
23C3: How to squeeze more performance out of your wifi
Speaker: Achim Friedland Cross-layer optimization strategies for long-range IEEE 802.11e based radio (mesh) networks Most of today's long-range wireless mesh or point-to-point links suffer from a high overhead during channel access, frequent link failtures and the lack of taking a real
From playlist 23C3: Who can you trust