config.param_UAV_charging_power_consumption_rate = charging_rate config.param_UAV_base_distance = base_distance config.param_UAV_power_capacity = UAV_power_capacity network_type_str = str(num) + '_' + str(size) + '_' + str(size) \ + '_' + str(net_type) + '_' + str(localization_time) \ + '_' + str(transfer_rate) + '_' + str(task_threshold) \ + '_' + str(hovering_rate) + '_' + str(charging_rate) \ + '_' + str(base_distance) + '_' + str(UAV_power_capacity) print 'Network Type: ' + network_type_str UAV_new, nodes_new = object_manager_.create_objects(config) # single flight if is_single_flight == True: # lower bound nodes = copy.deepcopy(nodes_new) lower_bound = UAV_AI.compute_lifetime_lower_bound(nodes) print 'Lifetime lower Bound', lower_bound res_file.write(network_type_str + ',' + 'lower_bound' + ',' + str(lower_bound) + '\n') # start the experiment for charge_mode in param_charge_mode: for path_mode in param_path_mode: # filter invalid combination if is_valid_combination(charge_mode, path_mode) == False: continue UAV_mode = path_mode + '_' + charge_mode print 'UAV Mode: ' + UAV_mode UAV = copy.deepcopy(UAV_new) nodes = copy.deepcopy(nodes_new) # a hack for combination experiment # for node in nodes:
