def __init__(self, N, B=1, verbose=True, dest=False): #is pieces 1 here?
self.verbose = verbose
self.prevtime = time.time()
self.N = N
#self.A = make_A_matrix(self.N)
self.counter = 0
self.num_transmissions = 0
self.current_row = 0
## Set up link to tos mote
self.mif = MoteIF.MoteIF()
self.source = self.mif.addSource("sf@localhost:9002")
#TxSerialMsg.py is be generated by MIG class
self.mif.addListener(self, TxSerialMsg)
# generate random messages
self.W = np.random.randint(
0, 2**16, (N, B)) # each message is an array of B uint16s
# store final received messages. goal is to "de-NaN" by the end
self.final_messages = np.nan * np.zeros((N, B))
# keep track of all transmitted and received messages/symbols
self.tx_symbols = np.array([]) # [1 -by- # of transmissions]
# keep track of number of transmissions
self.TOTAL_TRANSMISSIONS = 0
# for TDMA round also?
self.TDMA_TRANSMISSIONS = 0
# antidote matrix A
self.A = np.diag(self.W.reshape(
-1)) # receiver (row) i has access to the message it plans to send
# Receiver i wants message dest[i]
# e.g. dest = [1, 0] means R0 wants W[1] and R1 wants W[0]
if dest == False:
self.dest = pairingperm(N)
if self.verbose:
print 'Message destinations chosen by pairing'
print 'dest:', self.dest
else:
self.dest = dest
mat_dest = (np.arange(self.N), np.array(self.dest))
signal_space = np.zeros((self.N, self.N)) > 0
signal_space[mat_dest] = True
self.I = compute_interferers(self.A, signal_space)
self.J = self.I.astype(float)
self.J[mat_dest] = -1
self.map = np.arange(self.N)
if self.verbose:
print 'Interferer matrix is:'
print self.J
def reset(self):
self.it += 1
#reinitialize for next experiment
# generate random messages
self.W = np.random.randint(
0, 2**16,
(self.N, self.B)) # each message is an array of B uint16s
#print 'W is :'
#print self.W
# store final received messages. goal is to "de-NaN" by the end
#self.final_messages = np.nan*np.zeros((N, B))
#not actually messages but indicator if all the pieces for the node have been received
self.final_messages = np.nan * np.zeros((self.N, 1))
# keep track of all transmitted and received messages/symbols
self.tx_symbols = np.array([]) # [1 -by- # of transmissions]
# keep track of number of transmissions
self.TOTAL_TRANSMISSIONS = 0
self.TDMA_TRANSMISSIONS = 0
#make float so dont have to cast later
self.TDMA_ERASURES = float(0)
self.INDEX_ERASURES = float(0)
self.TDMA_ERASURES_VEC = np.zeros((1, self.N), float)
self.INDEX_ERASURES_VEC = np.zeros((1, self.N), float)
self.epsIndex = float(0)
self.epsVec = np.zeros((1, self.N), float)
mat_dest = (np.arange(self.N), np.array(self.dest))
signal_space = np.zeros((self.N, self.N)) > 0
signal_space[mat_dest] = True
self.A = np.eye(self.N)
self.I = compute_interferers(self.A, signal_space)
self.J = self.I.astype(float)
self.J[mat_dest] = -1
self.map = np.arange(self.N)
#print 'size of I is ', np.size(self.I)
#only print once??
if self.verbose:
print 'Interferer matrix is:'
print self.J
#return to tdma mode
self.TDMA_MODE = 1
#self.tm = 0; #needed?
self.TDleft = np.arange(self.N, dtype=np.uint8)
self.ackList = np.nan * self.TDleft
self.ileft = 0
#transmit the first message
Transmitter.tdma_stage(self)
self.ileft = 1
def __init__(self, N, B=1, verbose=True, dest=False): #is pieces 1 here?
self.verbose = verbose
self.prevtime = time.time()
self.N = N
#self.A = make_A_matrix(self.N)
self.counter = 0;
self.num_transmissions = 0;
self.current_row = 0;
## Set up link to tos mote
self.mif = MoteIF.MoteIF()
self.source = self.mif.addSource("sf@localhost:9002")
#TxSerialMsg.py is be generated by MIG class
self.mif.addListener(self, TxSerialMsg)
# generate random messages
self.W = np.random.randint(0,2**16, (N,B)) # each message is an array of B uint16s
# store final received messages. goal is to "de-NaN" by the end
self.final_messages = np.nan*np.zeros((N, B))
# keep track of all transmitted and received messages/symbols
self.tx_symbols = np.array([]) # [1 -by- # of transmissions]
# keep track of number of transmissions
self.TOTAL_TRANSMISSIONS = 0
# for TDMA round also?
self.TDMA_TRANSMISSIONS = 0
# antidote matrix A
self.A = np.diag(self.W.reshape(-1)) # receiver (row) i has access to the message it plans to send
# Receiver i wants message dest[i]
# e.g. dest = [1, 0] means R0 wants W[1] and R1 wants W[0]
if dest == False:
self.dest = pairingperm(N)
if self.verbose:
print 'Message destinations chosen by pairing'
print 'dest:', self.dest
else:
self.dest = dest
mat_dest = (np.arange(self.N), np.array(self.dest))
signal_space = np.zeros((self.N,self.N))>0
signal_space[mat_dest] = True;
self.I = compute_interferers(self.A, signal_space)
self.J = self.I.astype(float)
self.J[mat_dest] = -1
self.map = np.arange(self.N)
if self.verbose:
print 'Interferer matrix is:'
print self.J
def reset(self): self.it += 1 #reinitialize for next experiment # generate random messages self.W = np.random.randint(0,2**16, (self.N,self.B)) # each message is an array of B uint16s #print 'W is :' #print self.W # store final received messages. goal is to "de-NaN" by the end #self.final_messages = np.nan*np.zeros((N, B)) #not actually messages but indicator if all the pieces for the node have been received self.final_messages = np.nan*np.zeros((self.N, 1)) # keep track of all transmitted and received messages/symbols self.tx_symbols = np.array([]) # [1 -by- # of transmissions] # keep track of number of transmissions self.TOTAL_TRANSMISSIONS = 0 self.TDMA_TRANSMISSIONS = 0 #make float so dont have to cast later self.TDMA_ERASURES = float(0) self.INDEX_ERASURES = float(0) self.TDMA_ERASURES_VEC = np.zeros((1,self.N),float) self.INDEX_ERASURES_VEC = np.zeros((1,self.N),float) self.epsIndex = float(0) self.epsVec = np.zeros((1,self.N),float) mat_dest = (np.arange(self.N), np.array(self.dest)) signal_space = np.zeros((self.N,self.N))>0 signal_space[mat_dest] = True; self.A = np.eye(self.N) self.I = compute_interferers(self.A, signal_space) self.J = self.I.astype(float) self.J[mat_dest] = -1 self.map = np.arange(self.N) #print 'size of I is ', np.size(self.I) #only print once?? if self.verbose: print 'Interferer matrix is:' print self.J #return to tdma mode self.TDMA_MODE = 1; #self.tm = 0; #needed? self.TDleft = np.arange(self.N, dtype=np.uint8) self.ackList = np.nan*self.TDleft self.ileft = 0; #transmit the first message Transmitter.tdma_stage(self) self.ileft = 1
def __init__(self, N, B=1, verbose=True, dest=False): #is pieces 1 here?
self.verbose = verbose
self.prevtime = time.time()
self.N = N
#self.A = make_A_matrix(self.N)
self.counter = 0;
self.num_transmissions = 0;
self.current_row = 0;
## Set up link to tos mote
self.mif = MoteIF.MoteIF()
self.source = self.mif.addSource("sf@localhost:9002")
#TxSerialMsg.py is be generated by MIG class
self.mif.addListener(self, TxSerialMsg)
# generate random messages
self.W = np.random.randint(0,2**16, (N,B)) # each message is an array of B uint16s
#print 'W is :'
#print self.W
# store final received messages. goal is to "de-NaN" by the end
self.final_messages = np.nan*np.zeros((N, B))
#not actually messages but indicator if all the pieces for the node have been received
self.final_messages = np.nan*np.zeros((N, 1))
# keep track of all transmitted and received messages/symbols
self.tx_symbols = np.array([]) # [1 -by- # of transmissions]
# keep track of number of transmissions
self.TOTAL_TRANSMISSIONS = 0
# for TDMA round also?
self.TDMA_TRANSMISSIONS = 0
# antidote matrix A
#self.A = np.diag(self.W.reshape(-1)) # receiver (row) i has access to the message it plans to send
#rewrite so not dependent on W
self.A = np.eye(N)
# Receiver i wants message dest[i]
# e.g. dest = [1, 0] means R0 wants W[1] and R1 wants W[0]
if dest == False:
self.dest = pairingperm(N)
if self.verbose:
print 'Message destinations chosen by pairing'
print 'dest:', self.dest
else:
self.dest = dest
mat_dest = (np.arange(self.N), np.array(self.dest))
signal_space = np.zeros((self.N,self.N))>0
signal_space[mat_dest] = True;
self.I = compute_interferers(self.A, signal_space)
self.J = self.I.astype(float)
self.J[mat_dest] = -1
self.map = np.arange(self.N)
print 'size of I is ', np.size(self.I)
if self.verbose:
print 'Interferer matrix is:'
print self.J
#send the first tdma packet?
self.TDMA_MODE = 1;
#self.tm = 0; #needed?
self.TDleft = np.arange(self.N, dtype=np.uint8)
self.ackList = np.nan*self.TDleft
#self.ileft = 0;
#transmit the first message
Transmitter.tdma_stage(self)
self.ileft = 1
def __init__(self, N, B=1, verbose=True, dest=False): #is pieces 1 here?
#CHANGE SO THAT ONLY THINGS THAT ARE CALLED ONCE!!
self.verbose = verbose
self.prevtime = time.time()
self.N = N
#self.A = make_A_matrix(self.N)
self.counter = 0;
self.num_transmissions = 0;
self.current_row = 0;
## Set up link to tos mote
self.mif = MoteIF.MoteIF()
self.source = self.mif.addSource("sf@localhost:9002")
#TxSerialMsg.py is be generated by MIG class
self.mif.addListener(self, TxSerialMsg)
# generate random messages
self.W = np.random.randint(0,2**16, (N,B)) # each message is an array of B uint16s
#print 'W is :'
#print self.W
# store final received messages. goal is to "de-NaN" by the end
self.final_messages = np.nan*np.zeros((N, B))
#not actually messages but indicator if all the pieces for the node have been received
self.final_messages = np.nan*np.zeros((N, 1))
# keep track of all transmitted and received messages/symbols
self.tx_symbols = np.array([]) # [1 -by- # of transmissions]
# keep track of number of transmissions
self.TOTAL_TRANSMISSIONS = 0
# for TDMA round also?
self.TDMA_TRANSMISSIONS = 0
# antidote matrix A
#self.A = np.diag(self.W.reshape(-1)) # receiver (row) i has access to the message it plans to send
#rewrite so not dependent on W
self.A = np.eye(N)
# Receiver i wants message dest[i]
# e.g. dest = [1, 0] means R0 wants W[1] and R1 wants W[0]
if dest == False:
self.dest = pairingperm(N)
if self.verbose:
print 'Message destinations chosen by pairing'
print 'dest:', self.dest
else:
self.dest = dest
mat_dest = (np.arange(self.N), np.array(self.dest))
signal_space = np.zeros((self.N,self.N))>0
signal_space[mat_dest] = True;
#rewrite A so not dependent on W
self.A = np.eye(N)
self.I = compute_interferers(self.A, signal_space)
self.J = self.I.astype(float)
self.J[mat_dest] = -1
self.map = np.arange(self.N)
print 'size of I is ', np.size(self.I)
if self.verbose:
print 'Interferer matrix is:'
print self.J
self.TDMA_MODE = 1;
#self.tm = 0; #needed?
self.TDleft = np.arange(self.N, dtype=np.uint8)
self.ackList = np.nan*self.TDleft
self.ileft = 0;
#transmit the first message
Transmitter.tdma_stage(self)
self.ileft = 1