How to start a Scalable IoT Project based on LoRa Technology

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Device interactions with cloud networks continue to provide diverse applications towards a smart data-driven world.

Some of these applications in recent times have improved business flows, optimized engineering systems, and developed product and service management.

However, it is crucial to have continuous modification and advancement of IoT to appropriately meet future needs.

First, you must know how to start a scalable IoT project based on LoRa technology.

It’s important to understand what scalability is.

With regards to IoT Lora based technology, scalability can be defined as the degree to which an IoT device will adapt to certain changes in its architecture (hardware or software) to meet future needs.

That is, every scalable system must be able to reduce or increase resources and adjust output functions and performance in order to reach user satisfaction.

Why Scalability?

The flexibility that characterizes scalable systems gives allowance for company defined customizations and preferences.

You primarily want to scale your IoT so as to enjoy optimum overall efficiency and productivity, while ensuring cost-effectiveness. In order words, cost-effective productivity is the goal.

Types of Scalability

Generally, there are two main types of scalability – vertical and horizontal.

Understanding what each of these means helps you to start a scalable IoT project based on LoRa technology.

Vertical Scalability

Scalable-IoT-Project-lora-technology

Also known as scaling up, vertical scalability ensures the efficiency of an existing IoT environment by adding to the number of resources available.

It does this resource increase by expanding hardware/software capacity to meet set goals.

A typical function of vertical scaling is server speed optimization.

In this case, speed is increased by adding processing power to the network server.

This leads to improved network capacity.

You can also achieve scaling up by increasing device memory and storage processors at the node by adding more network interfaces for improved output.

In all, vertical scaling of an IoT LoRa based technology ensures increased productivity via resource modifications.

Features

  • It is cost-effective on power and software
  • Requires less administrative handling and support
  • Easy implementation
  • Preserves system compatibility

Horizontal Scalability

Also known as scaling out, horizontal scalability is different from vertical scalability in that it involves capacity increase via a corresponding increase in the number of physical machines.

That is, scaling out modifies cloud architecture to meet desired needs by connecting more hardware or software components.

A very common application of horizontal scaling in LoRa technology is the Cluster adds more servers to a network to facilitate increased efficiency in data communication to the cloud.

Features

  • Not limited in scope, network capacity, or traffic base
  • Highly intensive
  • Requires longer time to implement

Factors to Consider Before You Start A Scalable IoT Project Based on LoRa Technology

As you start your IoT projects using LoRa technology, there is a need to properly understand the importance of scalability.

This understanding must also border around network security and data privacy.

Based on LoRa technology, the following are very important factors you must look out for.

  • A scalable IoT project must be suited to sufficiently store an increasing amount of data regardless of their increase in the future.
  • It must be adaptable to multiple customer environments. Your users must find it easy to relate with all system changes without any hassles.
  • The software application must be able to resize without any disruption to its operation or performance.
  • Application dashboards must be suited to accommodate multiple devices with varied features.
  • Ensure optimal security by encrypting private data or by some other trusted data security.
  • IoT devices while being remote must be discoverable and sensitive to its cloud network.
  • A scalable IoT software must allow modifiable analytics while ensuring high-quality output.
  • Regardless of occasional system failures, a scalable IoT network must maintain its operational workflow prior to final troubleshooting.

Key Strategies for A Scalable IoT Project Based on LoRa Technology

You can ensure scalability of your IoT project via the following areas.

Controlled/Storage-optimized Data Pipeline

The growing demands of IoT applications based on LoRa technology call for huge amounts of data.

Therefore, data must be well created, processed and handled to meet required functions.

This is a very fundamental step if your IoT project will be highly scalable.

Your database structure must be such that can handle imbalances in data flow and throughput.

You can achieve an effective data pipeline and also be in control of it by featuring

IoT customizable curation operations that meet data specifics.

Another important step here is to ensure data storage optimization.

This can be done by expanding storage device technologies.

While multiple data storage technologies definitely improve IoT project scalability, they must be defined first by allowable data environment of your network.

Orthogonality (The 3 Axes Scalability)

Orthogonality in scaling is a typical application in scaling IoT projects such as the ones based on LoRa technology.

It is also called the 3 axes scalability approach.

Okay, how does this add up? This approach is very helpful because in multiple scaling directions.

Orthogonality makes it possible to reinforce functions in each direction.

First, X-axis scaling is called cloning and it involves scalability via same-task duplication.

Using a LoRa technology, X-scaling distributes network demands over cloned servers so that each of them can handle operational requests.

This leads to improved efficiency.

Y-axis and Z-axis scaling both increase scalability by separating tasks based on data activity requirements and customer requests respectively.

Automated Bootstrapping

One key feature that characterizes an IoT architecture is the absence of human-to-human or human-to-computer interaction.

A great way to start a scalable IoT project based on LoRa technology is to provide smart automation.

This can be achieved by integrating fully automated features for functions such as software set up, security configuration and remote device communication.

Individualistic Microservice Architecture

Another important strategy for IoT scalability is structuring the architecture via an individualistic microservice approach.

This ensures that device/network operations are broken down into smaller functional units.

This is referred to as microservice architecture.

Conclusion

The transition of LoRa based IoT projects from paper to final implementation involves stepwise integrated processes.

Scalability is a bedrock factor in these processes.

Proper understanding and deployment of scalability techniques are crucial to maximizing the benefits of scalability in IoT applications.

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