Rethinking the Internet of
Things - Self-Classification With "Chirps"
When I wrote Rethinking IOT, I expected one proposal to be controversial.
And it was.
I had stated that the myriad devices making up the emerging Internet of Things (IoT)
will be too dumb, cheap, and uncritical to justify the power to equip them all
with IPv6. Howls of derision resulted.
But I have been through this before. Back In 2004, I wrote another controversial
piece about the ugly truths
of (single radio) mesh. Today, almost all mesh network products use dual
wireless switch stacks - even in
home Wi-Fi networks
At the edge of Industrial networks, the vast majority of devices will speak and
listen in tiny bits of data- like ants. I developed the concept of “Chirp"
Networks: with tiny bits of data with minimal framing. And like lightweight pollen in spring time, no guaranteed delivery either.
(Orchestrating "Wind" directions for these digital pollen will be addressed in a upcoming post).
Digital Pollen can
be non-unique also
These chirps are self classified. Chirps identify themselves in both public and private ways, to allow integration
of data from a wide variety of sources. This identification might be type
(moisture sensor, door lock, etc.), location, etc.
Because the size of the future IoT is well beyond our current
comprehension, it won’t be possible for humans (or even machines!) to catalog
every device or pre-configure preferred data sources. Instead,
Publish/Discover/Subscribe will reveal useful data that no one could have known
of or predicted.
At the edges of the network, the vast numerical majority of devices
will simply speak and listen in tiny bits of data. And they will be designed
with a basic trust in an IoT universe that propagates these messages to some
sort of integration point where the IoT may be interpreted for human
Also controversial - Chirps do not need to be
unique or need IPV6.
Nobody confuses my grandfather Francis daCosta with me. Our lineage
path differ in our family's network tree.
Routing -- Back to
If the Chirps are so simple and non-uniquely addressed, how will big data
integrators ever make sense of the cacophony?
and other network intelligence come from a device I’ve called a Propagator in
the Chirp related patents and the book. Its a straightforward derivative of
our mesh node. The Propagators add the
context of the data (location, lineage, et al) and the intelligence to the
transmission (multicast bundling, pruning, and routing; addressing and IPv6
packetization; management; control loops; the list goes on..). Economies of
scale stem from putting CPU cycles on mesh nodes, thus simplifying end devices.
In this three tiered architecture (Integrator, Propagators, Devices) it is
critical that deterministic paths join them.
Happily, the overlying structured tree topology I discussed
(and developed in 2002 for MeshDynamics mesh nodes) works perfectly well for Propagators. Nature tells us that trees scale, connecting trillions and trillions of cells in
a networked path (leaves-to-roots and vice-versa) that doesn’t burden any cell
with management of the whole.
I am interested in developing collaboration with the larger and sophisticated
OEMs and System Developers who might share this vision of the full
potential of a massively-scaled public/private Internet of Things. If these
ideas intrigue you, let’s talk.
About the Software
"MeshDynamics Scalable and Open Pub Sub enables us to rapidly integrate with
Enterprise Class, OMG (Object Management Group)-approved, industry- standard
messaging systems from RTI (Real-Time Innovations), PRISMTECH, OpenDDS, and
others to provide assured real time end to end performance, even if we scale to
millions of devices at the edge.”
Curtis Wright, Sr. Research Systems Engineer,
Space and Navy Warfare Center, US Navy.
“MeshDynamics’ propagator node software allows us to deploy WiFi
networks today with minimal additional wiring and also incorporate emerging
Internet of Things devices on the same infrastructure today and in the future.”
Mr. Arai Yuji, GM, Communication Division,
Sharp Electronics, Japan.
The emerging Internet of Things architectural concepts and
wireless mesh networking propagator technology has been influenced by the
Robotics and Machine Control background of founder
Francis daCosta - early mesh nodes were installed on robots. Francis previously founded
Advanced Cybernetics Group, providing robot
control system software for mission critical applications, mandating real time
sensor guided control and both local and supervisory control loops.
At MITRE, he served as an
advisor to the United States Air Force Robotics and Automation Center of
Excellence (RACE). In 2012, Intel sponsored
Rethinking the Internet Of Things It was a finalist for the 2014
Rethinking Tree Topologies Self Classification With Chirps