“Messy” IoT networks

Your One-Stop Internet of Things Partner. LoRaWAN network, custom hardware, IoT solutions.

“Messy” IoT networks


Sep 18





No Comments

Too many people apply cellular network thinking to networks that are purpose-built for the Internet of Things (IoT). They ignore the massive diversity of uses and the scenarios.

One example is

hybrid networks

. These combine local area networks, such as BLE or wired CAN bus, with a long distance hop to the Internet using LoRaWAN.

Daniel Conrad in

Messy Networks for the Internet of Things

has another angle:

New IoT networks are designed for unplanned, ad-hoc, network deployments. And messy networks are awesome for IoT.

He talks about how purpose-built IoT networks like LoRaWAN don’t need handoffs as the end nodes move around between base stations or gateways. This reduces network complexity and cost, with all the intelligence to handle data messages built into a cloud-based network server.

Other benefits include rapid ad-hoc networks with no network planning or coordination required. It also allows reliability using redundancy, i.e. cheap gateways and no network changes means adding capacity or redundancy to a LoRaWAN network is simply switching a gateway on.

His final point about “messy” IoT networks is combining private and public IoT networks seamlessly. These private networks could be as simple as a customer-deployed single gateway to extensive private networks for an enterprise or geographical area.

I would however caution that these private-public LoRaWAN networks are still in the (not too distant) future while the LoRaWAN specifications for inter-network device connection are still being developed.

“Messy” IoT networks FTW.

Source URL: Read More
The public content above was dynamically discovered – by graded relevancy to this site’s keyword domain name. Such discovery was by systematic attempts to filter for “Creative Commons“ re-use licensing and/or by Press Release distributions. “Source URL” states the content’s owner and/or publisher. When possible, this site references the content above to generate its value-add, the dynamic sentimental analysis below, which allows us to research global sentiments across a multitude of topics related to this site’s specific keyword domain name. Additionally, when possible, this site references the content above to provide on-demand (multilingual) translations and/or to power its “Read Article to Me” feature, which reads the content aloud to visitors. Where applicable, this site also auto-generates a “References” section, which appends the content above by listing all mentioned links. Views expressed in the content above are solely those of the author(s). We do not endorse, offer to sell, promote, recommend, or, otherwise, make any statement about the content above. We reference the content above for your “reading” entertainment purposes only. Review “DMCA & Terms”, at the bottom of this site, for terms of your access and use as well as for applicable DMCA take-down request.

Acquire this Domain
You can acquire this site’s domain name! We have nurtured its online marketing value by systematically curating this site by the domain’s relevant keywords. Explore our content network – you can advertise on each or rent vs. buy the domain. Buy@TLDtraders.com | Skype: TLDtraders | +1 (475) BUY-NAME (289 – 6263). Thousands search by this site’s exact keyword domain name! Most are sent here because search engines often love the keyword. This domain can be your 24/7 lead generator! If you own it, you could capture a large amount of online traffic for your niche. Stop wasting money on ads. Instead, buy this domain to gain a long-term marketing asset. If you can’t afford to buy then you can rent the domain.

About Us
We are Internet Investors, Developers, and Incubators- operating a content network of several thousand sites while federating 20+ eCommerce and SaaS startups. With our proprietary “inverted incubation” model, we leverage a portfolio of $15M+ in valued domains to impact online trends, traffic, and transactions. We use robotic process automation, machine learning, and other proprietary approaches to power our content network. Discover our work!