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DOCUMENTATION 》 LoRaWAN - Network Optimization via TOFFEE WAN Optimization

LoRaWAN - Network Optimization:
LoRaWAN is a very promising technology where it allows us to establish long range networks making it suitable for IoT and other such applications. With LoRaWAN now it is possible to collect data metric/analytics from the sensors scattered across a large area (typically many miles 5-10 Kms or a bit more). The only drawback of LoRa is that although it provides long range its network data rate is far too low. In a way that is sufficient for IoT or such sensor based data, but it is way too less (almost impractical) for any effective communication channel (such as internet browsing, etc). The speed you get is around 1kbps to 2.5kbps depending upon the range, signal strength and so on.

So here is a scenario where few sensors are attached to a LoRaWAN Network. Let us assume in this case few of these sensors are not themselves LoRa capable, hence they are connected to an intermediate LoRaWAN Aggregator. This in turn connected backend to a LoRaWAN Gateway through which it gets internet connectivity.

LoRaWAN Network

We can now improve its performance by incorporating TOFFEE-DataCenter within this hardware infrastructure. Thus improving its total overall network bandwidth. We can now squeeze a lot more data through this long-range network channel than it is possible earlier with LoRaWAN Technology (hardware) alone.
LoRaWAN Network Optimization via TOFFEE WAN Optimization

Kindly watch my in-depth video covering about LoRaWAN Technology and Network Optimization potential of the same:

Learn more about LoRaWAN and LoRaWAN based hardware:
Wiki: LoRa - https://en.wikipedia.org/wiki/LoRa#LoRaWAN
LoRa Alliance - https://lora-alliance.org
LoRa Alliance - About - https://lora-alliance.org/about-lorawan
LoRaWAN Overview - https://www.thethingsnetwork.org/docs/lorawan
De la technologie LoRa au réseau LoRaWAN - http://www.frugalprototype.com/technologie-lor ...
Mbed OS - Arm Mbed OS provides a native network stack for LoRaWAN - https://os.mbed.com/docs/latest/reference/lora ...
Building your own private LoRa network - https://docs.mbed.com/docs/lora-with-mbed/en/l ...
LoRa Gateways and Concentrators - https://loriot.io/lora-gateways.html
MatchX - LoRa Hardware - https://matchx.io/hardware
Green House LoRaWAN Experiment - https://www.green-house.co.jp/en/pdt/lorawan-n ...



Temas sugeridos:


TOFFEE - Optimización WAN


Categories

💎 TOFFEE-MOCHA new bootable ISO: Download
💎 TOFFEE Data-Center Big picture and Overview: Download PDF


Temas recomendados:

TOFFEE-DataCenter WAN Optimization software development - Update: 13-Aug-2016 ↗
Saturday' 13-Mar-2021
Earlier the TOFFEE is intended to work on IoT devices, Satellite Networks, branch office/SOHO deployments. In most cases the users may deploy just one or couple of TOFFEE devices per site. But in the case of TOFFEE-DataCenter, users can scale-up deploying the same in multiple servers in a sort of distributed cluster computing scenario. Besides the core TOFFEE-DataCenter components (such as packet processing engine/framework), I need to do lot of changes in its Graphical User Interface (GUI) too to address these new requirements.

TOFFEE-Mocha WAN Emulation software development - Update: 18-June-2016 ↗
Saturday' 13-Mar-2021
In the previous update (17-Jun-2016) I discussed about the upcoming new Random Packet drop feature along with other completed features. Now I completed the entire TOFFEE-Mocha Random packet drop feature. I completed all the kernel components and the UI support of the same. And to make GUI settings more organized I split the earlier Basic-Settings page into two separate pages namely: Packet Drop and Packet Delay. So this way it is simple to understand settings according to their functionality.

TOFFEE-Mocha WAN Emulation software development - Update: 15-July-2016 ↗
Saturday' 13-Mar-2021
Today I completed doing all the changes which are meant for the new upcoming TOFFEE-Mocha release. I have increased the resolution and the range of all factor variables. Instead 1 to 10 range now they have a range of 1 to 30. Unlike before the value 1 means it is lot more intense (or in some cases less intense) and the uppermost value 30 means lot less intense (or in some cases lot intense).

TOFFEE-DataCenter screenshots on a Dual CPU - Intel(R) Xeon(R) CPU E5645 @ 2.40GHz - Dell Server ↗
Saturday' 13-Mar-2021

Network Packet Queue or Buffer - Packet Flow Control, Fragmentation and MTU ↗
Saturday' 13-Mar-2021
Network Packet Queue or Buffer - Packet Flow Control, Fragmentation and MTU

iPerf Network Optimization - WAN Optimization Demo ↗
Saturday' 13-Mar-2021

Watch on Youtube - [889//1] 280 WAN Optimization - Animated demo of Packet Optimization in TOFFEE-DataCenter ↗


Off-Grid Solar Power System for Raspberry Pi ↗
Saturday' 13-Mar-2021
When you choose to use your Raspberry Pi device as your IoT based remote weather station or if you are building Linux kernel (like kernel compilation) within the same, you need a good uninterrupted power source (UPS). But if you are using it on site or in some research camping location you can choose to power your Raspberry Pi device with your custom off-grid solar power source.

Bulk Ping Tests - WAN Acceleration ↗
Saturday' 13-Mar-2021

Tracking Live Network Application Data - in a WAN Acceleration (WAN Optimization) Device ↗
Saturday' 13-Mar-2021

Optimization of network data (WAN Optimization) at various levels ↗
Saturday' 13-Mar-2021
WAN Network data can be optimized at various levels depending upon the network applications, protocols, topology and use-cases. So the amount of data you can optimize will depend on the strategy you choose to optimize. Such as: Network Packet level optimization, Session level optimization, File level optimization, etc.



Featured Educational Video:
Watch on Youtube - [4073//1] 0x1c9 NAS OS | Expert's take on FreeNAS vs UNRAID | My two cents | Best Tips ↗

DIY TOFFEE WAN Optimization Device with Intel Celeron Mini PC ↗
Saturday' 13-Mar-2021
Here is a step-by-step DIY to build your own Intel based Mini PC WAN Optimization Device with TOFFEE. I chose this below Intel Celeron Mini PC since it is fan-less aluminium case and as well it has 2 dedicated inbuilt Gigabit Ethernet ports. You can use one for LAN Network and one for WAN Network.

TOFFEE Benchmarks :: TOFFEE-1.1.28 ↗
Saturday' 13-Mar-2021
Here is the TOFFEE WAN Optimization benchmarks of the TOFFEE version: TOFFEE-1.1.28. This is the current TOFFEE development version till date (2-Jul-2016). This is a HPC TOFFEE variant meant for high-end custom build servers and high-end desktops (i.e High Performance Computing a.k.a HPC). TOFFEE built this way often needs customized kernel compilation and build such as processor specific and hardware specific tune-ups since it is highly CPU intensive (if not offloaded via Hardware Accelerator Cards).

Introducing TOFFEE-Fudge - Network Packet Generator ↗
Saturday' 13-Mar-2021
TOFFEE Fudge is a simple intuitive Network Packet Generator which can be used to create custom test synthetic Network Packets and can be used in various applications such as networking research, network infrastructure troubleshooting, ethical hacking, as a network software development tool and so on.

Building my own CDN - Finally Completed - Update: 17-Dec-2017 ↗
Saturday' 13-Mar-2021
Today I finally completed building my own private CDN. As I discussed so far in my earlier topics (Building my own CDN), I want to custom build the same step-by-step from scratch. And I don't want to for now use/buy third-party CDN subscriptions from Akamai, CloudFlare, Limelight, etc as I discussed earlier.



Watch on Youtube - [466//1] 158 VLOG - TOFFEE WAN Optimization Software Development live update - 6-Nov-2016 ↗

My sample Wireshark packet capture files for research ↗
Saturday' 13-Mar-2021
I have a huge repository (or collection) of sample Wireshark packet capture files for reference. I use them extensively for research and development of TOFFEE as well to understand various protocol PDUs and protocol standards. I personally collected various test captures via Wireshark during my test and experimental research setup during the course of TOFFEE development. Say if you are a student and learning Networking and or say VoIP data and VoIP packets, you can analyse my VoIP sample Wireshark captures. Or in other case assume you are doing some quick research (or development) and want to refer few handful of VoIP packets then you can download and analyse my sample packet capture files.



Research :: Optimization of network data (WAN Optimization) at various levels:
Network File level network data WAN Optimization


Learn Linux Systems Software and Kernel Programming:
Linux, Kernel, Networking and Systems-Software online classes


Hardware Compression and Decompression Accelerator Cards:
TOFFEE Architecture with Compression and Decompression Accelerator Card [CDN]


TOFFEE-DataCenter on a Dell Server - Intel Xeon E5645 CPU:
TOFFEE-DataCenter screenshots on a Dual CPU - Intel(R) Xeon(R) CPU E5645 @ 2.40GHz - Dell Server