diff --git a/12-twr/README.md b/12-twr/README.md new file mode 100644 index 0000000..23dfafe --- /dev/null +++ b/12-twr/README.md @@ -0,0 +1,61 @@ +## Goal: Verify UWB Two Way Ranging + +Task #01 - TWR Aloha example +========================== + +### Description + +TWR aloha example is functional and reports distance estimation values within +-20cm when in LOS conditions. + +### Testing procedure: Local + +- On two or more devices build and flash the `examples/twr_aloha` application with the following command + + $ make -C examples/twr_aloha flash term + +- Choose two devices, configure one as a responder, and recover its short address + + > twr lst on + [twr]: start listening + > ifconfig + Iface 3 HWaddr: 02:95 Channel: 5 NID: DE:CA + + Long HWaddr: 08:2B:31:07:CC:74:02:95 + TX-Power: 8.5dBm TC-PGdelay: 0xb5 + +- The second device will be the initiator, perform a SS-TWR exchange against the responder, + perform 100 exchanges with 100ms intervals, and parse the average `d_cm` + + > twr req -c 100 -i 100 -p ss 02:95 + [twr]: start ranging + {"t": 23721, "src": "8E:2B", "dst": "02:95", "d_cm": 380} + {"t": 23821, "src": "8E:2B", "dst": "02:95", "d_cm": 371} + {"t": 23921, "src": "8E:2B", "dst": "02:95", "d_cm": 375} + + +- With the same initiator, perform a DS-TWR exchange against the responder + perform 100 exchanges with 100ms intervals, and parse the average `d_cm` + + > twr req -c 100 -i 100 -p ds 02:95 + > [twr]: start ranging + {"t": 23721, "src": "8E:2B", "dst": "02:95", "d_cm": 380} + {"t": 23821, "src": "8E:2B", "dst": "02:95", "d_cm": 371} + {"t": 23921, "src": "8E:2B", "dst": "02:95", "d_cm": 375} + +### Testing procedure: IoT-LAB + +Not all devices on IoT-LAB are in LOS conditions, and the antennas are not facing +in the same direction, this can yield to higher than expected errors in the distance +values. For those cases a dataset is provided with the TWR results between all IoT-LAB +devices on the Lille site. These values used Decawave PANS R2 firmware. Pairs of nodes +where Decawave reports mean errors above 30cm should be ignored, since not considered +LOS, see heatmap below or provided [dataset](./static/data_full.csv) + +|![Decawave-Lille](./static/deca_mean_err_heatmap.jpg)| +|:---------------------------------------------------------------------:| +| Distance (cm) mean error | +| Decawave PANS R2- distance - IoT-LAB lille | + +### Result + +When in LOS devices report distance values within +-20cm diff --git a/12-twr/static/data_full.csv b/12-twr/static/data_full.csv new file mode 100644 index 0000000..a913b2b --- /dev/null +++ b/12-twr/static/data_full.csv @@ -0,0 +1,18186 @@ +,src,nei,d,d_est,d_err_absolute,d_err_relative +0,12:2E,04:20,1.8515128949051394,1.85,0.0015128949051392837,0.000817112810449422 +1,12:2E,04:20,1.8515128949051394,1.89,0.03848710509486053,0.020786841507162382 +2,12:2E,04:20,1.8515128949051394,1.86,0.008487105094860725,0.004583875768953558 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@@ -0,0 +1,15 @@ +src,02:95,04:20,08:A6,0B:A1,0C:28,12:2E,48:27,80:89,8E:2B,D1:B6,D4:B6,D6:B0,DB:27,DC:19 +02:95,0,5,1,4,6,33,14,2,36,2,3,40,7,1 +04:20,5,0,5,5,17,2,1,9,1,4,3,5,3,11 +08:A6,1,6,0,4,8,8,13,14,3,7,4,4,3,9 +0B:A1,4,5,4,0,1,5,12,14,6,3,6,50,1,18 +0C:28,7,19,7,2,0,7,8,5,12,1,6,11,7,24 +12:2E,33,3,10,5,5,0,3,1,7,15,1,9,10,13 +48:27,14,1,13,11,9,4,0,19,5,1,2,13,7,2 +80:89,2,9,14,15,6,2,19,0,12,4,7,12,5,2 +8E:2B,38,2,3,5,11,7,4,12,0,10,1,3,3,4 +D1:B6,2,3,7,3,1,15,1,4,10,0,6,15,1,2 +D4:B6,2,2,5,5,5,2,1,6,1,8,0,17,2,1 +D6:B0,33,5,4,50,12,9,13,12,3,15,16,0,6,1 +DB:27,7,3,4,1,7,10,8,5,2,1,4,6,0,10 +DC:19,1,10,9,17,24,12,2,2,4,1,1,1,9,0 diff --git a/12-twr/static/deca_mean_err_heatmap.jpg b/12-twr/static/deca_mean_err_heatmap.jpg new file mode 100644 index 0000000..eb0d148 Binary files /dev/null and b/12-twr/static/deca_mean_err_heatmap.jpg differ diff --git a/12-twr/test_spec12.py b/12-twr/test_spec12.py new file mode 100644 index 0000000..757ac66 --- /dev/null +++ b/12-twr/test_spec12.py @@ -0,0 +1,126 @@ +from pathlib import Path +import os +import pytest +import math +import pandas as pd +from statistics import mean +from typing import List, Tuple, Union + +from riotctrl_shell.twr import TwrCmd, TwrRequestParser, TwrIfconfigParser +from riotctrl_shell.sys import Reboot +from testutils.iotlab import IoTLABExperiment + + +DECAWAVE_DWM_SIMPLE_LILLE_CSV = os.path.join( + os.path.dirname(Path(__file__).resolve()), "static", "data_mean_err.csv" +) +APP = 'examples/twr_aloha' +pytestmark = pytest.mark.rc_only() + +DEFAULT_TWR_ITVL = 100 +DEFAULT_TWR_COUNT = 50 +DEFAULT_TWR_TIMEOUT = DEFAULT_TWR_ITVL * DEFAULT_TWR_COUNT + 5 * 1000 + +DISTANCE_ERROR_LOS = 30 + + +class Shell(Reboot, TwrCmd): + """Convenience class inheriting from the Reboot and TwrCmd shell""" + + _netif = { + "netif": None, + "hwaddr": None, + "hwaddr64": None, + "panid": None, + "channel": None, + } + + def parse_netif(self): + parser = TwrIfconfigParser() + self._netif = parser.parse(self.ifconfig()) + + def hwaddr(self): + return self._netif["hwaddr"] + + def netif(self): + return self._netif["netif"] + + def hwaddr64(self): + return self._netif["hwaddr64"] + + def panid(self): + return self._netif["panid"] + + def channel(self): + return self._netif["channel"] + + +def _get_node_position(node: Shell) -> Union[List[float], Tuple[float, ...]]: + """Returns the position of an IoTLAB node""" + infos = IoTLABExperiment.get_nodes_position(node.riotctrl.env['IOTLAB_EXP_ID']) + for info in infos: + if info['network_address'] == node.riotctrl.env['IOTLAB_NODE']: + return info['position'] + return (None, None, None) + + +def _get_nodes_distance_cm(node_0: Shell, node_1: Shell): + """Returns euclidean distance between two IoTLAB nodes in cm""" + node_0_pos = _get_node_position(node_0) + node_1_pos = _get_node_position(node_1) + # calculate euclidean distance + d_m = math.sqrt( + math.pow(node_0_pos[0] - node_1_pos[0], 2) + + math.pow(node_0_pos[1] - node_1_pos[1], 2) + + math.pow(node_0_pos[2] - node_1_pos[2], 2) + ) + return round(d_m * 100) + + +@pytest.mark.iotlab_creds +@pytest.mark.flaky(reruns=3, reruns_delay=30) +# nodes passed to riot_ctrl fixture +@pytest.mark.parametrize( + 'nodes, iotlab_site, proto', + [ + pytest.param(['dwm1001', 'dwm1001'], "lille", "ss"), + pytest.param(['dwm1001', 'dwm1001'], "lille", "ds"), + ], + indirect=['nodes', 'iotlab_site'], +) +def test_task01(riot_ctrl, proto): + nodes = ( + riot_ctrl(0, APP, Shell), + riot_ctrl(1, APP, Shell), + ) + + # load Decawave distance error + df = pd.read_csv(DECAWAVE_DWM_SIMPLE_LILLE_CSV, index_col=0) + + for node in nodes: + node.parse_netif() + + for initiator, responder in zip(nodes, nodes[::-1]): + responder.twr_listen(on=True) + out = initiator.twr_request( + addr=responder.hwaddr(), + count=DEFAULT_TWR_COUNT, + itvl=DEFAULT_TWR_ITVL, + proto=proto, + timeout=DEFAULT_TWR_TIMEOUT, + ) + req_parser = TwrRequestParser() + d_cm = req_parser.parse(out) + + assert mean(d_cm) > 0 + # If ran on IoTLAB also check that error is within margin + if 'IOTLAB_NODE' in responder.riotctrl.env: + d_error_cm = abs(mean(d_cm) - _get_nodes_distance_cm(responder, initiator)) + # sanity check distance error should not be above 1m + assert d_error_cm < 100 + deca_d_error_cm = df[initiator.hwaddr()][responder.hwaddr()] + # if Decawave PANS R2 error is under 30cm consider it ~LOS conditions, + # and therefore RIOT should show a similar error + if deca_d_error_cm < DISTANCE_ERROR_LOS: + assert d_error_cm < DISTANCE_ERROR_LOS + responder.twr_listen(on=False) diff --git a/requirements.txt b/requirements.txt index 757648f..ed6ed20 100644 --- a/requirements.txt +++ b/requirements.txt @@ -8,3 +8,4 @@ pytest-rerunfailures riotctrl scapy paho-mqtt +pandas diff --git a/testutils/iotlab.py b/testutils/iotlab.py index ba22e18..81f03a1 100644 --- a/testutils/iotlab.py +++ b/testutils/iotlab.py @@ -25,6 +25,7 @@ class IoTLABExperiment: 'arduino-zero': {'name': 'arduino-zero', 'radio': 'xbee'}, 'b-l072z-lrwan1': {'name': 'st-lrwan1', 'radio': 'sx1276'}, 'b-l475e-iot01a': {'name': 'st-iotnode', 'radio': 'multi'}, + 'dwm1001': {'name': 'dwm1001', 'radio': 'dw1000'}, 'firefly': {'name': 'firefly', 'radio': 'multi'}, 'frdm-kw41z': {'name': 'frdm-kw41z', 'radio': 'multi'}, 'iotlab-a8-m3': {'name': 'a8', 'radio': 'at86rf231'}, @@ -180,3 +181,22 @@ def _get_nodes(self): """Return all nodes reserved by the experiment""" ret = get_experiment(Api(*self.user_credentials()), self.exp_id) return ret['nodes'] + + @staticmethod + def get_nodes_position(exp_id): + """Return nodes positions""" + info = [] + if exp_id: + ret = get_experiment(Api(*get_user_credentials()), exp_id, 'nodes') + for item in ret['items']: + info.append( + { + 'network_address': item['network_address'], + 'position': ( + float(item['x']), + float(item['y']), + float(item['z']), + ), + } + ) + return info diff --git a/testutils/tests/test_iotlab.py b/testutils/tests/test_iotlab.py index 7223e95..e6dc358 100644 --- a/testutils/tests/test_iotlab.py +++ b/testutils/tests/test_iotlab.py @@ -218,3 +218,50 @@ def test_start_error(monkeypatch): ctrls[0].env.pop("BOARD") with pytest.raises(ValueError): exp.start() + + +@pytest.mark.parametrize( + "exp_nodes", + [ + ( + [ + { + "network_address": "dwm1001-13.lille.iot-lab.info", + "x": "25.71", + "y": "9.39", + "z": "9.22", + }, + { + "network_address": "dwm1001-11.lille.iot-lab.info", + "x": "27.51", + "y": "7.1", + "z": "9.51", + }, + ] + ) + ], +) +def test_get_nodes_position(monkeypatch, exp_nodes): + monkeypatch.setattr( + testutils.iotlab.IoTLABExperiment, + "user_credentials", + lambda cls: ("user", "password"), + ) + monkeypatch.setattr(testutils.iotlab, "Api", lambda user, password: None) + monkeypatch.setattr( + testutils.iotlab, + "submit_experiment", + lambda api, name, duration, resources: {"id": 12345}, + ) + monkeypatch.setattr( + testutils.iotlab, + "get_experiment", + lambda api, exp_id, option: {"items": exp_nodes}, + ) + info = testutils.iotlab.IoTLABExperiment.get_nodes_position(12345) + assert info[0]['network_address'] == "dwm1001-13.lille.iot-lab.info" + assert info[0]['position'] == (25.71, 9.39, 9.22) + assert info[1]['network_address'] == "dwm1001-11.lille.iot-lab.info" + assert info[1]['position'] == (27.51, 7.1, 9.51) + info = testutils.iotlab.IoTLABExperiment.get_nodes_position(None) + assert len(info) == 0