The TOFFEE Project
HOMEDOCUMENTATIONUPDATESVIDEOSRESEARCHDOWNLOADSPONSORSCONTACT


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 ...



Suggested Topics:


TOFFEE - WAN Optimization


Categories

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


Recommended Topics:

My Lab Battery Purchase and Service logs for Research ↗
Saturday' 13-Mar-2021
Here is a complete log of my lab battery purchase, service record which I maintain in Google drive. These I use for my home (or my family generic use) as well as a part of my home lab. I maintain a detailed log this way to monitor the failure rate of these batteries. This will allow me to select a specific brand/model which has higher success rate and to monitor any premature failure/expiry. The service log helps me to monitor and schedule the next service routine so that I can maintain these batteries in tip-top condition.

TOFFEE deployment topology guide ↗
Saturday' 13-Mar-2021
Assume you have two sites (such as Site-A and Site-B) connected via slow/critical WAN link as shown below. You can optimize this link by saving the bandwidth as well possibly improve the speed. However, the WAN speed can be optimized only if the WAN link speeds are below that of the processing latency of your TOFFEE installed hardware. Assume your WAN link is 12Mbps, and assume the maximum WAN optimization speed/capacity of Raspberry Pi is 20Mbps, then your link will get speed optimization too. And in another case, assume your WAN link is 50Mbps, then using the Raspberry Pi as WAN Optimization device will actually increase the latency (i.e slows the WAN link). But in all the cases the bandwidth savings should be the same irrespective of the WAN link speed. In other words, if you want to cut down the WAN link costs via this WAN Optimization set up, you can always get it since it reduces the overall bandwidth in almost all the cases (including encrypted and pre-compressed data).

Network Latency in WAN Networks and performance optimization ↗
Saturday' 13-Mar-2021
Here is my video article on Network Latency in WAN Networks (such as long distance Satellite links, etc) and how you can optimize the same to achieve better network performance.

MySQL Database Network Data - WAN Acceleration ↗
Saturday' 13-Mar-2021
Here is a quick demo of TOFFEE WAN Optimization optimizing MySQL Data transfers of a MySQL Client to Server Remote Access.

TOFFEE-Butterscotch Bandwidth saver software development - Update: 28-Oct-2016 ↗
Saturday' 13-Mar-2021
Here is my first software development update of TOFFEE-Butterscotch. In my first TOFFEE-Butterscotch news update I have introduced about TOFFEE-Butterscotch research, project specifications, use-cases, etc. Introducing TOFFEE-Butterscotch Alerts: These are simple packet counters which corresponds to the filter type. For example if the incoming TCP-SYN packets are blocked then its corresponding alert counter will increment whenever such a packet arrives and gets filtered (dropped).

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).



Internet optimization through TOFFEE-DataCenter WAN Optimization Demo ↗
Saturday' 13-Mar-2021

Advantages of CDN - Content Delivery Networks or Content Distribution Networks ↗
Saturday' 13-Mar-2021

Grid Hosting vs CDN Hosting ↗
Saturday' 13-Mar-2021

First TOFFEE-Mocha Code Release ↗
Saturday' 13-Mar-2021
TOFFEE-Mocha is my dream project which I thought working on it since several years. I want to make a WAN emulation software which is straight forward and simple to use. I used tc scripts along with iptables for testing my TOFFEE (and TrafficSqueezer before TOFFEE) and I am not quite satisfied with the same. As one can understand these scripts are not meant for WAN emulation.



Featured Educational Video:
Watch on Youtube - [830//1] x248 Part Time (or Consulting) Jobs - Developer/Programmer ↗

TOFFEE-Mocha Documentation :: TOFFEE-Mocha-1.0.14-1-x86_64 ↗
Saturday' 13-Mar-2021

TEST CASES :: TEST RESULTS :: Raspberry Pi WAN Emulator TOFFEE-Mocha-1.0.14-1-rpi2 ↗
Saturday' 13-Mar-2021

TOFFEE Documentation :: TOFFEE-1.1.24-3-rpi2 ↗
Saturday' 13-Mar-2021
Here is my VLOG Youtube video of the same which includes details about version release notes, future road-map and so on. The TOFFEE release is highly optimized and customized for hardware platforms such as x86-64 based Intel NUC and other Intel mobile computing platforms such as laptops and so on. This version (or release) is not suited and so not recommended to be used for high-end desktop and server hardware platform.

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 - [439//1] 158 VLOG - TOFFEE WAN Optimization Software Development live update - 6-Nov-2016 ↗

Benchmark Raspberry Pi and other embedded SoC with TrueBench ↗
Saturday' 13-Mar-2021
TrueBench is an unique open-source benchmarking system in which the core system performance and efficiency parameters are measured at extreme high resolution in the order of several million/billion µ-seconds for a given specific task. TrueBench is a part of The TOFFEE Project research. With TrueBench Raspberry Pi 3, Raspberry Pi 2B and Raspberry Pi 2 are benchmarked and you can do a comparative analysis with standard mainstream x86 devices.



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


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