All wireless protocols can be jammed often using an inexpensive battery powered transmitter. The protocol doesn’t even have to be radio frequency (RF) based as Infra-Red (IR) and any other communication medium that travels thru the air can be jammed by blasting out noise in the same spectrum as the protocol. Think of a busy street corner where you and a friend are having a conversation and a firetruck with their sirens blareing go by. Your conversation stops because your friend simply can’t hear you above all the noise. The same thing can happen in Z-Wave where a “bad actor” brings a small battery powered transmitter and blasts out RF in the same frequency bands that Z-Wave uses. In this post I’ll explain how to jam Z-Wave and also how to detect and inform the user that jamming has occurred.
Security System Requirements
Jamming applies primarily to security systems. After all, if someone wants to jam your house from turning on the kitchen lights at night, what’s the point other than to get a laugh when you bang your knee into the table? Z-Wave has enjoyed a great deal of success in the security system market. Z-Wave is interoperable, easy to use, low-power and the mesh networking protocol means users or installers don’t have to be concerned with getting everything to talk to everything else as the protocol automatically handles (mostly) everything. Security systems however are very concerned about jamming to the point that Underwriters Laboratory has a specification for it. UL1023 is the US standard for Safety Household Burglar-Alarm Systems.
The reality of the situation for a security system is that it is unlikely a burglar will try to bypass your security system by jamming it. Burglars are simply not that tech savvy. The FBI doesn’t even track the numbers of burglaries via jamming – one would assume because the number is essentially zero. A burglar will simply bash in a window or door or more often simply walk in an unlocked door. However, if it’s easy enough and cheap enough, a burglar might just try! CNET demonstrated just how easy it is to use a $3 transmitter to bypass a popular security system using a cheap RF transmitter. Regardless of the reality of the situation, the bad press of having an easy to jam security system can crater a company.
Anti-Jamming Techniques in Z-Wave
Z-Wave was designed from day one to be robust and reliable. The very first requirement for robustness is to acknowledge that the device receiving the message did in fact receive it. Every Z-Wave message is acknowledged (ACK) otherwise the sender will try again using different mesh routes or other RF frequencies. After several retries, the protocol will give up and the application can then decide if it wants to try even more ways to deliver the message. If the message is not very important (like a battery level report), the application can just drop it. If a sensor detects smoke! Then the application will continue trying to get this life-safety message thru in every way possible for as long as possible.
Here’s a list of the techniques Z-Wave uses for robustly delivering messages:
- Z-Wave
- All frames are Acknowledged
- Multiple mesh routes
- Frequency Hopping – Two frequencies – 3 different baud rates (in US)
- RSSI Measurements indicating jamming
- Supervision CC confirms decryption & data integrity
- Z-Wave Long Range
- All frames are Acknowledged
- Dynamic TX Power
- Frequency hopping to alternate channel
- RSSI Measurements indicating jamming
- Supervision CC confirms decryption & data integrity
Even with all these different measures in place, it is still possible to jam Z-Wave. But it’s not cheap nor is it easy. But let’s give it a try for fun!
Jamming Z-Wave
Jamming Z-Wave starts with a Silicon Labs Z-Wave Developers Kit and Simplicity Studio. However, these kits are not cheap costing at least $150 for just one. It may be possible to find a cheap 900MHz transmitter but you will need two of them and they must have the ability to tune them to the specific Z-Wave frequencies of 908.4MHz and 916MHz in the US. These are not going to be $3 battery powered transmitters and they require a significant amount of technical knowledge. Neither cheap nor easy so I think we’re pretty safe from your typical burglar.
Z-Wave uses two channels (frequencies) in the US: 908.4MH for 9.6 and 40Kbps and 916MHz for 100Kbps. Z-Wave Long Range (ZWLR) also has two channels but uses spread-spectrum encoding which spreads the signal out across a band of frequencies centered at 912MHz and 920MHz. By using two channels Z-Wave is frequency agile which makes it harder to jam since you need two transmitters instead of just one. The spectrum analyzer plot below shows four DevKits blasting all 4 channels at once.
Creating the jammer firmware utilizes the RailTest utility in Simplicity Studio V5. Select the DevKit in the Debug Adapters window, click on the Example Projects & Demos tab then check the Proprietary button. The only example project should be the “Flex (RAIL) – RAILtest application”. Click on Create and use the defaults. The default frequency will state it is 868 but ignore that as the Z-Wave modes are all built into RailTest and do not need to be configured. Once the project is created, click on Build and then download to a devkit. Right click on the devkit in the Debug Adapters window and click on Launch Console. Click on the Serial 1 tab then click in the command box at the bottom and press ENTER. You should get a RailTest prompt of >.
Once you're at the RailTest prompt, enter the following commands:
rx 0 -- disables the radio which must be done before changing the configuration
setzwavemode 1 3 -- Puts the radio into Z-Wave mode
setpower 24 raw -- 24=0dbm radio transmit power - valid range is 1 to 155 but is non-linear
setchannel 0 -- ch0=916 ch1=908.4 ch2=908.42 - ZWLR ch0=912 ch1=920
setzwaveregion 1 -- EU=0, 1=US, 13=US Long Range
Do one of the following 2 commands:
SetTxTone 1 -- narrow band Carrier Wave - unmodulated
SetTxStream 1 -- Pseudo-Random data - modulated and in ZWLR uses Spread Spectrum (DSSS)
Use the same command with a 0 to turn the radio off
Remember to "rx 0" before changing any other configuration valuesRAILtest is a powerful utility and can do all sorts of things beyond just Z-Wave. The radio in the Silicon Labs chips are Software Defined Radios, they can be customized to many common frequency bands. It is easy to create customized versions of RAILtest that will transmit a carrier wave (CW) or a modulated signal at just about any frequency band, not just Z-Wave. But that’s more complex than I have time to discuss here.
Now that we know how to jam, how do we detect it and inform the user that jamming is taking place? Detecting jamming takes place at both ends of the Z-Wave network, the Controller and the End Device. Let’s first look into the End Device which in a security system is typically a motion sensor or a door/window sensor.
End Device Jamming Detection
Most end devices are battery powered so they spend most of their time sleeping and are completely unaware of any RF jamming that might be taking place. Only when motion is detected or a door is opened will the sensor wake up and find the radio waves being jammed. The best way to check for RF jamming is to first try to send a message. When the message fails to be acknowledged, then start looking to see if jamming is occurring.
The Z-Wave Application Framework (ZAF) handles sending the message and eventually calls a callback to report status. The callback comes through EventHandlerZwCommandStatus() which will be called several seconds after sending the message. The protocol tries various mesh routes, power levels and baud rates which takes time so be sure to stay awake long enough to receive the callback. The callback returns the TxStatus variable which is typically TRANSMIT_COMPLETE_OK (0x00) which means the message was delivered. But if jamming is taking place and the radio was unable to go through it, you’ll get a TRANSMIT_COMPLETE_FAIL (0x02). This status is different than the TRANSMIT_COMPLETE_NO_ACK (0x01) which means the message was not acknowledged which is usually because the destination is offline but could also be due to jamming.
The next step is to verify that jamming is taking place by getting the current Received Signal Strength Indicator (RSSI) level by queuing the EZWAVECOMMANDTYPE_GET_BACKGROUND_RSSI event . The RSSI is a simple value in dB of the strength of signal at the radio receiver when its not actively receiving a frame. In normal operation, this value should be around -100dB. Every environment is different so the threshold for the radio being jammed needs to be a value that is significantly higher than the average value. This is particularly tough in dense housing like apartments where perhaps every unit has a Z-Wave network. This results in a relatively high RSSI average. The key here is you can’t use a simple hard-coded threshold for jamming detection based on RSSI. Instead you must average the RSSI values across a long time-span (typically hours).
Z-Wave Notification of Jamming
The next step after detecting jamming has occurred is to notify the hub. But if the jamming is still in progress, how can the notification get thru? Naturally you can’t get thru while the jamming is still happening. The trick is to keep trying and hope that the jamming is short term. The problem is that a battery powered sensor can’t keep trying constantly as it will run out of battery power perhaps in just a few minutes. You must manage battery power and at the same time keep trying with a longer and longer timeout between attempts. At some point the jamming should end, perhaps hours after the initial break-in but the jammer will eventually run out of battery power.
The Z-Wave Notification Command Class has a pre-defined value for RF Jamming – Notification Type of Home Security (0x07) with an Event of RF Jamming (0x0C) and the current average RSSI level. This notification is a critical notification so it should be wrapped in Supervision Command Class to guarantee it has been delivered and understood by the controller.
Sample Code
The code below first checks the TxStatus, if is not OK, then the RSSI level is checked by queuing the GET_BACKGROUND_RSSI event. Once the RSSI is sampled, the function will be called again with the switch going thru the GET_BACKGROUND_RSSI case below. This section of code then compares the current RSSI level with a background RSSI level and if the current level is above it then the SendRFJamNotificationPending global variable is set. When a frame is able to get thru then the pending RF Jam notification is sent since it appears the jamming has ended. This ensures the Hub is informed that there was jamming so the Hub can then decide if it needs to inform the user. The basics of the algorithm are coded here:
...
static void EventHandlerZwCommandStatus(void)
...
switch (Status.eStatusType)
...
case EZWAVECOMMANDSTATUS_TX: // callback from attempted message delivery
...
if (pTxStatus->TxStatus != TRANSMIT_COMPLETE_OK) { // failed to deliver - check RSSI
EZwaveCommandType event = EZWAVECOMMANDTYPE_GET_BACKGROUND_RSSI;
QueueNotifyingSendToBack(g_pAppHandles->pZwCommandQueue, &event, 0); // Queue GET_RSSI
} else { // message delivered OK
// more cleanup happens here...
if (SendRfJamNotificationPending) { // Is there a pending Jam Notification?
SendRfJamNotificationPending=false; // Send it!
void * pData = PrepareNotifyJamReport(&zaf_tse_local_actuation);
ZAF_TSE_Trigger((void *)CC_NotifyJam_report_stx, pData, true);
}
}
...
case EZWAVECOMMANDSTATUS_GET_BACKGROUND_RSSI: // only called if failed to deliver a message
if (Status.Content.GetBackgroundRssiStatus.rssi > BackgroundRSSIThreshold) {
// Set a global to send an RF Jamming Notification which will be sent when jamming ends
SendRfJamNotificationPending=true;
SendRfJamNotifRSSI= Status.Content.GetBackgroundRssiStatus.rssi;
}
... // Not shown are application level retries and various other checking
Now that we have jamming detection enabled on the end-device side, let’s look at the controller end of the communication.
Controller Jamming Detection
Obviously the main thing the controller needs to do is react to a jamming notification from an End Device. The ultimate action the controller performs is left to the controller developer but clearly the end user should be notified that jamming has been detected. But that notification needs to be qualified with enough information about the average RSSI noise level to avoid false jamming detection notifications.
If the jammer is way out at 200+ meters, the RSSI level may not jump up significantly as measured by the controller. Thus, it is important to react to the End Device notification of jamming. However, the controller must poll the RSSI level at regular intervals to determine if jamming is taking place nearby. The question is how often should it poll and when to react to a sudden change in the RSSI level? There is no definite answer to this question other than “it depends” and it depends on a lot of different factors. Typically, the RSSI should be sampled a few times per minute – perhaps every 30 seconds. If a value seems unusually high, perhaps sample several more times at a much faster rate to confirm that the RSSI has jumped and its not glitch. Like the End Device case, the average RSSI value needs to be calculated across a fairly long time frame (minutes to perhaps an hour) and when there is a change from the average value then the user should be notified.
ZW_GetBackgroundRSSI
The SerialAPI function ZW_GetBackgroundRSSI() (0x3B) will return three or four bytes of RSSI values for the various channels supported by the controller. This function can be sent to the Z-Wave controller frequently as it does not cause any delays in the radio. It does use UART bandwidth so it can’t be called too frequently or it may interfere with normal Z-Wave traffic. The polling function should coded with a low priority so it is only sent when the UART has been idle for a few seconds to avoid collisions with Z-Wave radio traffic. The one-byte RSSI values are coded as shown in the table below.
RSSI values returned by the ZW_GetBackgroundRSSI():
| Hex | Decimal (2s Comp) | Description |
|---|---|---|
| 0x80-0xFF | -128 – -1 | Measured RSSI in dBm |
| 0x00-0x7C | 0 – 124 | Measured RSSI in dBm |
| 0x7D | 125 | RSSI is below sensitivity and cannot be measured |
| 0x7E | 126 | Radio saturated and could not be measured as it is too high |
| 0x7F | 127 | RSSI is not available |
Typically a 700 series Z-Wave controller will measure about -100dBm when the airwaves are fairly quiet. During a transmission the RSSI is often about -30dBm when the node is within a few meters of the controller.
TxStatusReport
The TxStatusReport is returned after a frame was transmitted which includes several fields with a variety of RSSI measurements. There is a Noise Floor of the sender as well as a NoiseFloor of the receiver. The RSSI values can be monitored during normal Z-Wave traffic without polling. It is best to use these values while Z-Wave traffic is taking place and to temporarily pause the polling while the Z-Wave UART is busy. Once the UART is idle, resume RSSI polling.
Missing Heartbeats
Another aspect of jamming is that battery powered devices typically send a “heartbeat” message every hour so the controller knows for sure the device is online and working (mostly that the battery isn’t dead). The controller should be keeping track of how long it has been since the last time a battery powered node has checked in and if it has missed two or at most three heartbeats, the controller should inform the user (or the installer) that the device is offline and unable to communicate. If the battery was already low, then the battery is probably dead. If the battery was fine, then there is a possibility that the device is being jammed.
I gave a presentation on Configuration Command Class Version 4 and all the wonderful things it can do. The most notable point is that 2/3rds of the Z-Wave Plus certified devices have at least one Configuration Parameter. Yet many hubs have no way of modifying or displaying to the user the current value of parameters. Z-Wave Plus V2 mandates support for Configuration Command Class V4 for both hubs and devices so you need to get busy! My presentation title is: “The Chicken vs Egg is over: Moving Your Product to Configuration Version 4” which can be downloaded from this link: 
A product that is Z-Wave Plus means it has passed a rigorous 
The timeline shows the constant improvement and evolution of Z-Wave. Initially the data rate was only 9600 bits per second. This was fast enough to turn a light or two on or off but as things progressed and you want to slowly change the color of a dozen or more bulbs, then you need a faster data rate. Thus, the increase to 40K with the 300 series and 100K with the 500 series. There are many other enhancements along the way including longer range, better RF sensitivity, lower power, more peripherals and in particular the AES encryption engine. The amazing thing though all of these improvements is that they have all remained 100% backward compatible. Even the latest chips can talk to the early 100 series chips. Granted it is only at the slower 9600 bps but it still works! So the lamp dimmer you bought in 2004 is still able to talk to the latest SmartThings hub.
the router and then login to it from anywhere in the world. The system is secure and password protected. The HS3 application serves web pages with a status of every Z-Wave device. The HS3 application runs on the Raspberry Pi so all processing is local which means temporary Internet connectivity outages are no problem.
Silicon Labs is a well respected semiconductor manufacturer with an array of microcontroller products from 8-bit 8051s thru modern low-power ARM CPUs. Silicon Labs has been chasing the IoT market since before IoT was a “thing”. Their low power micros have industry leading features often integrating the latest connectivity solutions like USB, Zigbee and now Z-Wave. With a market cap of nearly $4B, Silicon Labs (
In my opinion, the most interesting part of the announcement is that SiLabs is buying Z-Wave and not Sigmas primary business of Set-Top-Box processors. The announcement states: “Sigma Designs is in active discussions with prospective buyers to divest its Media Connectivity business”. The announcement goes on to say that if Sigma can’t unload its “Media Connectivity business” then SiLabs will buy just the Z-Wave portfolio for $240M thus making the rest of Sigma worth only $42M assuming someone is willing to pay that much for it.
Z-Wave was originally invented by Zensys based in Copenhagen Denmark in 1999. Originally the Z-Wave protocol used Chipcon radios (acquired by TI) and Atmel processors (acquired by Microchip). In 2003 Zensys announced its own custom designed “100 series” Z-Wave transceiver which was a complete Z-Wave capable IoT System-On-Chip. In 2008 Zensys was struggling financially. Fortunately Sigma stepped in an purchased Zensys for an “undisclosed amount”. Nine years later, Sigma has sold Z-Wave for a very nice ROI of perhaps 100X. Mergers and acquisitions in the semiconductor industry are frequent as technology and markets shift in unforeseen ways.
DrZWave 