class Coordinator(object):
def __init__(self, arguments, buffer):
"""
Initialize the coordinator object.
The coordinator maintains the weight matrix and the RSSI vector for the
reconstruction process.
"""
self._weight_matrix = Weight_Matrix(arguments, buffer.origin,
buffer.size)
self._rssi = []
self._endpoints = []
def get_weight_matrix(self):
"""
Get the weight matrix (as a NumPy array).
"""
return self._weight_matrix.output()
def get_rssi_vector(self):
"""
Get the RSSI vector (as a list).
"""
return copy.copy(self._rssi)
def update(self, packet, calibrated_rssi):
"""
Update the weight matrix and RSSI vector given a `Packet` object `packet`
and a calibrated RSSI value `calibrated_rssi`. The latter parameter is equal
to the original RSSI for the stream data source when calibration mode is enabled.
"""
# The x coordinate corresponds to the longitude and the y coordinate corresponds
# to the latitude.
source = (packet.get("from_longitude"), packet.get("from_latitude"))
destination = (packet.get("to_longitude"), packet.get("to_latitude"))
rssi = calibrated_rssi
# If the endpoints already exist (i.e., the link has already been measured before),
# we can simply replace the existing RSSI value for the link. This keeps both the
# weight matrix and the RSSI vector minimal.
endpoints = (source, destination)
if endpoints in self._endpoints:
index = self._endpoints.index(endpoints)
self._rssi[index] = rssi
return True
# If the weight matrix has been updated, store the RSSI value.
if self._weight_matrix.update(source, destination) is not None:
self._rssi.append(rssi)
self._endpoints.append(endpoints)
return True
return False
class Coordinator(object):
def __init__(self, arguments, buffer):
"""
Initialize the coordinator object.
The coordinator maintains the weight matrix and the RSSI vector for the
reconstruction process.
"""
self._weight_matrix = Weight_Matrix(arguments, buffer.origin, buffer.size)
self._rssi = []
self._endpoints = []
def get_weight_matrix(self):
"""
Get the weight matrix (as a NumPy array).
"""
return self._weight_matrix.output()
def get_rssi_vector(self):
"""
Get the RSSI vector (as a list).
"""
return copy.copy(self._rssi)
def update(self, packet, calibrated_rssi):
"""
Update the weight matrix and RSSI vector given a `Packet` object `packet`
and a calibrated RSSI value `calibrated_rssi`. The latter parameter is equal
to the original RSSI for the stream data source when calibration mode is enabled.
"""
# The x coordinate corresponds to the longitude and the y coordinate corresponds
# to the latitude.
source = (packet.get("from_longitude"), packet.get("from_latitude"))
destination = (packet.get("to_longitude"), packet.get("to_latitude"))
rssi = calibrated_rssi
# If the endpoints already exist (i.e., the link has already been measured before),
# we can simply replace the existing RSSI value for the link. This keeps both the
# weight matrix and the RSSI vector minimal.
endpoints = (source, destination)
if endpoints in self._endpoints:
index = self._endpoints.index(endpoints)
self._rssi[index] = rssi
return True
# If the weight matrix has been updated, store the RSSI value.
if self._weight_matrix.update(source, destination) is not None:
self._rssi.append(rssi)
self._endpoints.append(endpoints)
return True
return False
def __init__(self, arguments, buffer):
"""
Initialize the coordinator object.
The coordinator maintains the weight matrix and the RSSI vector for the
reconstruction process.
"""
self._weight_matrix = Weight_Matrix(arguments, buffer.origin,
buffer.size)
self._rssi = []
self._endpoints = []
def __init__(self, arguments, buffer):
"""
Initialize the coordinator object.
The coordinator maintains the weight matrix and the RSSI vector for the
reconstruction process.
"""
self._weight_matrix = Weight_Matrix(arguments, buffer.origin, buffer.size)
self._rssi = []
self._endpoints = []
