diff options
Diffstat (limited to 'lib')
| -rw-r--r-- | lib/size_to_radio_energy.py | 85 |
1 files changed, 81 insertions, 4 deletions
diff --git a/lib/size_to_radio_energy.py b/lib/size_to_radio_energy.py index 1cc9fd0..808ff9b 100644 --- a/lib/size_to_radio_energy.py +++ b/lib/size_to_radio_energy.py @@ -11,6 +11,8 @@ def get_class(radio_name: str): """Return model class for radio_name.""" if radio_name == 'CC1200tx': return CC1200tx + if radio_name == 'NRF24L01tx': + return NRF24L01tx if radio_name == 'NRF24L01dtx': return NRF24L01dtx @@ -37,6 +39,7 @@ class CC1200tx: if type(params) != dict: return CC1200tx.get_energy(_param_list_to_dict(CC1200tx, params)) + # Mittlere TX-Leistung, gefitted von AEMR power = 8.18053941e+04 power -= 1.24208376e+03 * np.sqrt(params['symbolrate']) power -= 5.73742779e+02 * np.log(params['txbytes']) @@ -46,24 +49,98 @@ class CC1200tx: power -= 3.31365158e-01 * np.log(params['txbytes']) * (params['txpower'])**2 power += 1.32784945e-01 * np.sqrt(params['symbolrate']) * np.log(params['txbytes']) * (params['txpower'])**2 + # txDone-Timeout, gefitted von AEMR duration = 3.65513500e+02 duration += 8.01016526e+04 * 1/(params['symbolrate']) duration -= 7.06364515e-03 * params['txbytes'] duration += 8.00029860e+03 * 1/(params['symbolrate']) * params['txbytes'] - return power * 1e-6 * duration * 1e-6 + # TX-Energie, gefitted von AEMR + # Achtung: Energy ist in µJ, nicht (wie in AEMR-Transitionsmodellen üblich) in pJ + + energy = 1.74383259e+01 + energy += 6.29922138e+03 * 1/(params['symbolrate']) + energy += 1.13307135e-02 * params['txbytes'] + energy -= 1.28121377e-04 * (params['txpower'])**2 + energy += 6.29080184e+02 * 1/(params['symbolrate']) * params['txbytes'] + energy += 1.25647926e+00 * 1/(params['symbolrate']) * (params['txpower'])**2 + energy += 1.31996202e-05 * params['txbytes'] * (params['txpower'])**2 + energy += 1.25676966e-01 * 1/(params['symbolrate']) * params['txbytes'] * (params['txpower'])**2 + + return energy * 1e-6 + + def get_energy_per_byte(params): + A = 8.18053941e+04 + A -= 1.24208376e+03 * np.sqrt(params['symbolrate']) + A += 1.76945886e+01 * (params['txpower'])**2 + A -= 6.99137635e-01 * np.sqrt(params['symbolrate']) * (params['txpower'])**2 + B = -5.73742779e+02 + B += 2.33469617e+02 * np.sqrt(params['symbolrate']) + B -= 3.31365158e-01 * (params['txpower'])**2 + B += 1.32784945e-01 * np.sqrt(params['symbolrate']) * (params['txpower'])**2 + C = 3.65513500e+02 + C += 8.01016526e+04 * 1/(params['symbolrate']) + D = -7.06364515e-03 + D += 8.00029860e+03 * 1/(params['symbolrate']) + + x = params['txbytes'] + + # in pJ + de_dx = A * D + B * C * 1/x + B * D * (np.log(x) + 1) + + # in µJ + de_dx = 1.13307135e-02 + de_dx += 6.29080184e+02 * 1/(params['symbolrate']) + de_dx += 1.31996202e-05 * (params['txpower'])**2 + de_dx += 1.25676966e-01 * 1/(params['symbolrate']) * (params['txpower'])**2 + + #de_dx = (B * 1/x) * (C + D * x) + (A + B * np.log(x)) * D + + return de_dx * 1e-6 + +class NRF24L01tx: + """NRF24L01+ TX energy based on aemr measurements (32B fixed packet size, ack-await, no retries).""" + name = 'NRF24L01' + parameters = { + 'datarate' : [250, 1000, 2000], # kbps + 'txbytes' : [], + 'txpower' : [-18, -12, -6, 0], # dBm + 'voltage' : [1.9, 3.6], + } + default_params = { + 'datarate' : 1000, + 'txpower' : -6, + 'voltage' : 3, + } + + def get_energy(params): + if type(params) != dict: + return NRF24L01tx.get_energy(_param_list_to_dict(NRF24L01tx, params)) + + power = 6.30323056e+03 + power += 2.59889924e+06 * 1/params['datarate'] + power += 7.82186268e+00 * (19.47+params['txpower'])**2 + power += 8.69746093e+03 * 1/params['datarate'] * (19.47+params['txpower'])**2 + + duration = 1624.06589147 + duration += 332251.93798766 * 1/params['datarate'] + + energy = power * 1e-6 * duration * 1e-6 * np.ceil(params['txbytes'] / 32) + + return energy + class NRF24L01dtx: """nRF24L01+ TX energy based on datasheet values (probably unerestimated)""" name = 'NRF24L01' parameters = { - 'symbolrate' : [250, 1000, 2000], # kbps + 'datarate' : [250, 1000, 2000], # kbps 'txbytes' : [], 'txpower' : [-18, -12, -6, 0], # dBm 'voltage' : [1.9, 3.6], } default_params = { - 'symbolrate' : 1000, + 'datarate' : 1000, 'txpower' : -6, 'voltage' : 3, } @@ -89,6 +166,6 @@ class NRF24L01dtx: elif params['txpower'] == 0: current = 11.3e-3 - energy += current * params['voltage'] * ((header_bytes + params['txbytes']) * 8 / (params['symbolrate'] * 1e3)) + energy += current * params['voltage'] * ((header_bytes + params['txbytes']) * 8 / (params['datarate'] * 1e3)) return energy |