The example application in mist_mod_array.c periodically sends data as an
array. Depending on configuration, it may send a number of sequential elements
or parallel elements from multiple "channels" of the same data source. The
example uses a temperature sensor and requires a sensor data rule to be applied.
Data events of the same type sampled at the same time from multiple sources.
Data:
{ 10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, 90.0, 100.0 }Transmitted MoteXML (XML representation):
<xml_packet>
<dt_data value="dt_temperature_C">
<dt_value>
<dt_array buffer="6400c8002c019001f4015802bc0220038403e803" value="10"/>
<dt_exp value="-1"/>
</dt_value>
<dt_parallel/>
<dt_timestamp_utc value="604401880"/>
</dt_data>
</xml_packet>Extracted XML:
<xml_packet>
<dt_data value="dt_temperature_C_0">
<dt_timestamp_utc value="604401880"/>
<dt_value value="100">
<dt_exp value="-1"/>
</dt_value>
</dt_data>
<dt_data value="dt_temperature_C_1">
<dt_timestamp_utc value="604401880"/>
<dt_value value="200">
<dt_exp value="-1"/>
</dt_value>
</dt_data>
<dt_data value="dt_temperature_C_2">
<dt_timestamp_utc value="604401880"/>
<dt_value value="300">
<dt_exp value="-1"/>
</dt_value>
</dt_data>
<dt_data value="dt_temperature_C_3">
<dt_timestamp_utc value="604401880"/>
<dt_value value="400">
<dt_exp value="-1"/>
</dt_value>
</dt_data>
<dt_data value="dt_temperature_C_4">
<dt_timestamp_utc value="604401880"/>
<dt_value value="500">
<dt_exp value="-1"/>
</dt_value>
</dt_data>
<dt_data value="dt_temperature_C_5">
<dt_timestamp_utc value="604401880"/>
<dt_value value="600">
<dt_exp value="-1"/>
</dt_value>
</dt_data>
<dt_data value="dt_temperature_C_6">
<dt_timestamp_utc value="604401880"/>
<dt_value value="700">
<dt_exp value="-1"/>
</dt_value>
</dt_data>
<dt_data value="dt_temperature_C_7">
<dt_timestamp_utc value="604401880"/>
<dt_value value="800">
<dt_exp value="-1"/>
</dt_value>
</dt_data>
<dt_data value="dt_temperature_C_8">
<dt_timestamp_utc value="604401880"/>
<dt_value value="900">
<dt_exp value="-1"/>
</dt_value>
</dt_data>
<dt_data value="dt_temperature_C_9">
<dt_timestamp_utc value="604401880"/>
<dt_value value="1000">
<dt_exp value="-1"/>
</dt_value>
</dt_data>
</xml_packet>Converted JSON:
{
"data": {
"values": [
{
"timestamp_production": 1551086680,
"type": "dt_temperature_C_0",
"value": 10.0
},
{
"timestamp_production": 1551086680,
"type": "dt_temperature_C_1",
"value": 20.0
},
{
"timestamp_production": 1551086680,
"type": "dt_temperature_C_2",
"value": 30.0
},
{
"timestamp_production": 1551086680,
"type": "dt_temperature_C_3",
"value": 40.0
},
{
"timestamp_production": 1551086680,
"type": "dt_temperature_C_4",
"value": 50.0
},
{
"timestamp_production": 1551086680,
"type": "dt_temperature_C_5",
"value": 60.0
},
{
"timestamp_production": 1551086680,
"type": "dt_temperature_C_6",
"value": 70.0
},
{
"timestamp_production": 1551086680,
"type": "dt_temperature_C_7",
"value": 80.0
},
{
"timestamp_production": 1551086680,
"type": "dt_temperature_C_8",
"value": 90.0
},
{
"timestamp_production": 1551086680,
"type": "dt_temperature_C_9",
"value": 100.0
}
]
}
}Data events sampled every 60 seconds - sampling period is precise in the example, but does not have to be.
Data:
{ 10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, 90.0, 100.0 }Transmitted MoteXML (XML representation):
<xml_packet>
<dt_data value="dt_temperature_C">
<dt_value>
<dt_array buffer="6400c8002c019001f4015802bc0220038403e803" value="10"/>
<dt_exp value="-1"/>
</dt_value>
<dt_production_start>
<dt_array buffer="c4ff88ff4cff10ffd4fe98fe5cfe20fee4fda8fd" value="10"/>
</dt_production_start>
<dt_timestamp_utc value="604401880"/>
</dt_data>
</xml_packet>Extracted XML:
<xml_packet>
<dt_data value="dt_temperature_C">
<dt_timestamp_utc value="604401880"/>
<dt_value value="100">
<dt_exp value="-1"/>
<dt_production_start value="-60"/>
<dt_production_duration value="0"/>
</dt_value>
<dt_value value="200">
<dt_exp value="-1"/>
<dt_production_start value="-120"/>
<dt_production_duration value="0"/>
</dt_value>
<dt_value value="300">
<dt_exp value="-1"/>
<dt_production_start value="-180"/>
<dt_production_duration value="0"/>
</dt_value>
<dt_value value="400">
<dt_exp value="-1"/>
<dt_production_start value="-240"/>
<dt_production_duration value="0"/>
</dt_value>
<dt_value value="500">
<dt_exp value="-1"/>
<dt_production_start value="-300"/>
<dt_production_duration value="0"/>
</dt_value>
<dt_value value="600">
<dt_exp value="-1"/>
<dt_production_start value="-360"/>
<dt_production_duration value="0"/>
</dt_value>
<dt_value value="700">
<dt_exp value="-1"/>
<dt_production_start value="-420"/>
<dt_production_duration value="0"/>
</dt_value>
<dt_value value="800">
<dt_exp value="-1"/>
<dt_production_start value="-480"/>
<dt_production_duration value="0"/>
</dt_value>
<dt_value value="900">
<dt_exp value="-1"/>
<dt_production_start value="-540"/>
<dt_production_duration value="0"/>
</dt_value>
<dt_value value="1000">
<dt_exp value="-1"/>
<dt_production_start value="-600"/>
<dt_production_duration value="0"/>
</dt_value>
</dt_data>
</xml_packet>Converted JSON:
{
"data": {
"values": [
{
"values": [
{
"timestamp_production": 1551086080,
"type": "dt_temperature_C",
"value": 100.0
},
{
"timestamp_production": 1551086140,
"type": "dt_temperature_C",
"value": 90.0
},
{
"timestamp_production": 1551086200,
"type": "dt_temperature_C",
"value": 80.0
},
{
"timestamp_production": 1551086260,
"type": "dt_temperature_C",
"value": 70.0
},
{
"timestamp_production": 1551086320,
"type": "dt_temperature_C",
"value": 60.0
},
{
"timestamp_production": 1551086380,
"type": "dt_temperature_C",
"value": 50.0
},
{
"timestamp_production": 1551086440,
"type": "dt_temperature_C",
"value": 40.0
},
{
"timestamp_production": 1551086500,
"type": "dt_temperature_C",
"value": 30.0
},
{
"timestamp_production": 1551086560,
"type": "dt_temperature_C",
"value": 20.0
},
{
"timestamp_production": 1551086620,
"type": "dt_temperature_C",
"value": 10.0
}
]
}
]
}
}