thoughts about using IoT MQTT for V2V and Connected Car from CES 2014

Had a great time at CES 2014 showing my IoT tech with Continental AG in the Renaissance Hotel, Jaguar Land Rover + Intel at GENIVI Show Trump Tower, QNX + Qualcomm in North Hall LVCC, and IBM in the Venetian.  Really enjoyed CES, GENIVI Show, Tao, and especially Firefly on Paradise with my guys.  Thanks!

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Spent 4 days with dozens of automakers and car system providers, fielding questions and showing live demos.  Based on those discussions I’ve pulled together information I hope is useful.  Or if not useful, at least interesting:

  • thoughts https://mobilebit.wordpress.com/?s=mqtt
  • rants https://twitter.com/search?q=%40mobilebit%20mqtt&src=typd&f=realtime
  • slides http://www.slideshare.net/JoeSpeed/ibm-connected-car-is-a-big-data-problem-for-autotech-council-dec-13-2013-joe-speed
  • monologue http://youtu.be/u69I-GLYd6I
  • MQTT vs HTTPS on mobiles – 93x faster, 11x less power to send, 170x less power to receive, 8x less network overhead.  QoS and LWT for reliable comms on unreliable networks.
  • IBM MessageSight – secure IoT appliance and core component of global IBM IoT Cloud on Softlayer.   Concurrently connects 21M vehicles & mobiles at up to 340.2M telematics messages/second per rack.  Low latency, 60μs device-to-device MQTT messaging on fast network (i.e. 10GigE) under load.
  • video of AT&T iPhone & Verizon iPad remote control of GENIVI Tizen HVAC, note the low latency  Scottsdale > Dallas cloud > car in MA changes temp > Dallas > Scottsdale https://twitter.com/MobileBit/status/423181215672188928 
  • demos, how-to examples and source code http://m2m.demos.ibm.com/ 
  • demo video using QNX TI OMAP5 car http://youtu.be/C3ebGjJ0KjM?t=1m21s
  • another demo https://www.dropbox.com/s/lfjuih5v3928cg6/JLR_IBM_Intel_GENIVI_Tizen_demo.mov or even better is this one https://www.dropbox.com/s/a4rqm7nnw8tzxgk/JLR_Tizen_IBM_IoT_720p.mov
    note the data path for what you’re seeing in the 2 side-by-side HTML5 apps is Verizon iPad Scottsdale AZ > Dallas Softlayer cloud > GENIVI Tizen car unit in Dartmouth MA > Dallas Softlayer cloud > AT&T iPhone Scottsdale AZ
  • try this MQTT HTML5 whiteboard demo on several mobiles side-by-side, and observe the latency.  http://m2m.demos.ibm.com/whiteboard/  This is running against  Softlayer’s Dallas cloud in North America.  Let me know if you need the URLs for this in Asia, Europe or elsewhere.
  • MQTT + MQTT-SN simplifies V2V / V2X. MQTT for V2V via cloud 10s-100s ms, MQTT-SN for V2V via DSRC, ZigBee, 6LoWPAN, serial, UDP, et al.  And Eclipse Mosquitto RSMB 1.3 is 75KB MQTT + MQTT-SN broker for embedded that bridges V2V mesh to cloud.  I think it wouldn’t be an exaggeration to say that RSMB is battle hardened.
  • MQTT/MQTT-SN for transport independent V2V/V2X via dynamic mesh of DSRC/WAVE, Wi-Fi, LTE-A, cloud a’la ITA’s MQTT Sensor Fabric https://twitter.com/MobileBit/status/423877657118261248
  • Yes, the cloud is  too slow to tell me the car ahead hit their brakes.  For that you need 20ms latency.  But you know what else besides DSRC can do that?  Cameras, radars, lasers, many things.  And DSRC doesn’t help  with what’s around the next bend, what’s over the next hill.  It is very localized.  Which is an issue because there is a whole class of V2V problems that require macro-level awareness and real-time decisioning for which higher latency (100ms+) is acceptable.  Continental is public example of someone that tackling those using IoT + real-time Big Data geospatial decisioning in the cloud.
  • Yes, not every car is connected nor will they be in the near term, so what about the blind spots?  There are things that help mitigate that.  For example if a car senses other cars and publishes that data to the cloud, then the cloud knows about those cars even though they’re not connected.   IoT MQTT cloud connectivity is software, just requires is a programmable TCU.  Ford already made public that they’re pushing an OTA update to 3.4M existing cars adding more connected car capabilities, so many existing models can enabled for V2V cloud, not just future ones.  Automakers are launching aftermarket OBD2 dongles such as this one w 3G/GPS/accelerometers/etc. are $100 and less at retail ($20 in volume  for an OEM?) that cloud connect via MQTT any car built after 1995.
  • Yes, it is an issue there that each OEM is having their own cloud.  Solutions include having them use 1 cloud, for example what Continental AG is doing with having IBM give them the global connected car cloud which will be used by multiple OEMs that they supply.  Can also tackle it via federated car clouds, interconnecting them and exchanging data in real-time.  While not trivial, federated clouds and federated ESBs is fairly well traveled ground.  The technology is there.  MQTT even has a bridging convention whereby an MQTT broker (server) can also be a client.  The same approach you use to have an MQTT broker like RSMB in the car bridging a local V2V mesh to the cloud can also be used to bridge one cloud to another, effectively interconnecting them.  Yes that requires agreement re data format (preferably protobuf or JSON) and topic space, but those are solvable.
  • I’ve nothing against DSRC, in fact I’m very excited to have MQTT-SN running atop DSRC/WAVE, I think the pub/sub topics and QoS adds to DSRC’s usefulness.  That said, DSRC is early 90’s RF tech that is beginning to show its age.  And many of the use cases DSRC was intended for in V2V are becoming obviated by other sensor and wireless tech.  I don’t need DSRC to tell me when the car ahead hits their brakes, the car is already getting several other sensors that can do that.  And nobody has figured out where the $3 trillion dollars is going to come from to get DSRC radios into all the cars and infrastructure.  And we’re talking about adding that DSRC cost to cars that are already getting LTE Advanced and/or WiFi.  You know what else besides DSRC can do peer 2 peer?  LTE Advanced and WiFi.  Credit for this  to Roger Lanctot @rogermud who clued me into this.  He’s also the one that pointed out to me that latency is a driver distraction issue.
  • I already knew latency is an owner satisfaction and brand perception issue.  She’s not going to buy your car if her buying experience includes making her standing in the rain for 30 to 90 seconds while pondering her request to unlock the doors.
  • MQTT client source http://eclipse.org/paho/ for C, C++, Java, JavaScript, Python, Lua
  • MQTT + MQTT-SN bridging broker for embedded systems.  http://mqtt.org/2013/12/mqtt-for-sensor-networks-mqtt-sn 
  • MQTT-SN “MQTT for Sensor Networks” is designed for WSNs and mesh networks using datagrams instead of socket.  It works over DSRC, ZigBee, 6LoWPAN, LTE Advanced p2p, UDP, et al.  Like MQTT it is open standard, open source and royalty free.  Some think it can greatly improve V2V / V2X by making it publish/subscribe based and transport independent (like the military’s).  The meshing capabilities and ability to propogate topics and messages across the mesh w QoS is really quite amazing.   I’m trying to get permission to youtube the videos form the field trials.   http://mqtt.org/2013/12/mqtt-for-sensor-networks-mqtt-sn
  • MQTT Sensor Fabric secure WSN mesh used by US and UK military uses RSMB which is now open source per above.
  • MQTT 3.1 spec http://mqtt.org/documentation
  • MQTT 3.1.1 spec draft https://www.oasis-open.org/news/announcements/30-day-public-review-for-mqtt-version-3-1-1
  • MQTT-SN 1.2 spec http://mqtt.org/new/wp-content/uploads/2009/06/MQTT-SN_spec_v1.2.pdf 
  • Q:  Is MQTT security better or worse than HTTPS?  A:  Neither.  It is the same.  They are both socket protocols that rely on TLS/SSL connection level encryption.  For example to the cloud I often suggest TLS 1.2 w mutual authentication using “signed at the foundry” keys built into the chipset.

REST is for sleeping. MQTT is for Mobile

REST is designed around a simple request/response model.  So you ask “did my account balance change” and the response is returned “no it did not“.  So you check again a few minutes later, and get the same response.  Sound like a silly example?  Actually we’ve learned that it is a very real issue that many customers obsessively check throughout the day, as many as 60 times inflicting a load on back-ends that they weren’t designed for.

Compounding the issue for mobile apps is REST via HTTP which wasn’t designed to work on mobile networks.  HTTP on mobiles is a bit heavy, fragile and slow and drains batteries quickly.

So notifications, isn’t that what Google and Apple Push are for?  Well sure, up to a point.  But there are some serious issues there.  They offer no quality of service, really don’t have much in the way of guaranteed messaging. The practical result customers see is that notifications arrive quickly, late or not at all.  And it is the not at all that is particularly troubling because there is  no way for the sending party to know whether it was delivered.  I hear a lot of frustrations from customers over this with one telling me “Sure, it is great to find out there is a new level of Angry Birds but it isn’t anything I can run my business on“.

So isn’t there smartphone technology that solves this nicely?  Not really.  But there is an obscure machine-to-machine protocol that does.  Andy Stanford-Clark and Arlen Nipper invented MQTT to solve a problem they had: how to do reliable messaging over unreliable networks?  In an industrial environment with computationally”challenged” devices, with restricted power due to solar or battery power, on extremely low bandwidth and often brittle RF communications including satellite.  It had to work reliably, it had to use very few computational cycles, consume trivial power and could not hog what little bandwidth there was.  And it had to be pub/sub so to break the cycle of violence being inflicted by heavy unnecessary workloads and bandwidth consumption due to all the request/response polling-based monitoring & control systems that were in place at that time.

So Arlen & Andy developed a very simple, extremely efficient publish/subscribe reliable messaging protocol and named it MQ Telemetry Transport (MQTT).   A protocol that enabled devices to open a connection, keep it open using very little power and receive events or commands with as little as 2 bytes of overhead.  A protocol that has the things built in that you need for reliable behavior in an unreliable or intermittently connected wireless environments.  Things such as “last will & testament” so all apps know immediately if a client disconnects ungracefully, “retained message” so any user re-connecting immediately gets the very latest business information, etc.

Fast forward a few years to Facebook’s ambition to create a communications platform for hundreds of millions of people.  A platform that would have to have a dramatically better, more responsive user experience than what others were providing.  Lucy Zhang, the engineer in charge was experienced enough to know that the 3 key issues were going to be:

  • latency – how to get faster phone-to-phone communications
  • battery – and do that without killing batteries
  • bandwidth – or sucking up the user’s available bandwidth

While chatting over drinks in Barcelona, a former Facebook  employee told me that the brilliant bit of lateral thinking that Lucy did was instead of trying to brute force the problem with HTTP or HTTP-based protocols like XMPP (which inherit all of HTTP’s issues on mobile), she adopted an obscure m2m protocol “MQTT”

With the result being that Facebook gained a communications platform with a compelling user experience (well, good design had something to do with it too) that garned great reviews, tremendous stickiness, and  today has 680M mobile users, projected to hit 1B within a year.

Verizon Wireless this spring had their engineers do an engineering assessment of the top applications on their network.  Their assessment was that Facebook Messenger using MQTT is 5 stars for security, 5 stars for battery, and 4 stars for bandwidth.  Which is impressive considering the bandwidth measure is compared to things like Angry Birds which use zero bandwidth.

Stephen Nicholas did a fascinating apples to apples comparison of MQTT vs HTTPS on Android, 3G and WiFi which you can read here.  The 3G results are quite interesting:

  • 93x faster throughput
  • 11.89x less battery to send
  • 170.9x less battery to receive
  • 1/2 as much power to keep connection open
  • 8x less network overhead

So if you follow the NY Times or any of the IT trade magazines you may have seen a lot of news about MQTT in the past 2 weeks.  It is now in progress to become an OASIS M2M standard.  And IBM has open sourced all of its MQTT source code via Eclipse.org including the new HTML5 MQTT over WebSocket JavaScript which enables MQTT in any HTML5 container including mobile browsers, desktop browsers, vehicle infotainment, consumer electronics.  I’m doing 13,000 messages a second on my iPad with a pure HTML5 app developed in Worklight.  I don’t think you could do that with HTTP.  You can also google for “MA9B” to download zip from IBM of source code for a 1/2 dozen different mobile clients.

MQTT is small footprint, efficient, low power on the device.  So what happens when you flip that around to the data center or mobile operator side?  And drive it with new acceleration technology from IBM Labs?  You get something very dense, very green, and very fast.  As in concurrently connect as many mobiles, cars, or devices as 1,000 web servers with just 1 rack.  Product Management is OK when I say 21M concurrently connected things per rack.  They frown when I say the actual number.  And messaging throughput?  With the Beta firmware we were getting 273M mobile messages/sec per rack.  The performance  results we see in the GA firmware are “higher” and will be published soon.  End-to-end, app-to-app on fast network with this appliance using MQTT is in µs not milliseconds.  That’s why we’re now using this appliance and MQTT for high-speed Big Data analytics, driving millions of low-latency analytics decisions per second.

More on that at ibm.com/MessageSight with videos here and here.

I’m quite fanatical about this notion that response time = revenue, response time = business performance, and most importantly response time saves lives.  It isn’t about machines anymore folks, “Connected Life” is you, me and everything around us and how it all interacts.  And anytime there is a human in that interaction, then latency matters very much.

Well, that’s probably enough of a diatribe for one day.  I have an IBM internal blog which is “mobile musings”, my intention here was “mobile bit” i.e. bitten, smitten but also a small piece, short.  I’ll hew closer to that in the future.

Best,
– Joe