def interd_quiet_grids():
graphs.GRAPH_OUTPUT_FORMAT = 'png'
def init_simwrap():
sim = SimWrap(ctrl, p, cdict, pdict);
sim.set_all_nodisp()
sim.TO_show_clusters = False
sim.ctrl.saveall = False
return sim
def graph_mods():
ax.set_xlabel('Meters')
ax.set_ylabel('Meters')
ax.set_aspect('equal')
# Random grid
graphs.change_fontsize(graphs.FONTSIZE + 2)
ctrl, p, cdict, pdict = dec_grids()
ctrl.quiet_selection = 'random'
ctrl.quiet_nodes = ctrl.nodecount - 5
ctrl.steps = 1
sim = init_simwrap()
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
sim.simulate()
ax = graphs.spatial_grid(ctrl, unit='m', s=12, show_broadcast=True)
graph_mods()
graphs.save('interd_grid_random')
graphs.show()
# cluster grid
ctrl, p, cdict, pdict = dec_grids()
ctrl.quiet_selection = 'kmeans'
ctrl.quiet_nodes = ctrl.nodecount - 5
ctrl.steps = 1
sim = init_simwrap()
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
sim.simulate()
ax = graphs.spatial_grid(ctrl, unit='m', s=12, show_broadcast=True)
graph_mods()
graphs.save('interd_grid_kmeans')
graphs.show()
# sensing grid
ctrl, p, cdict, pdict = dec_grids()
ctrl.quiet_selection = 'contention'
ctrl.steps = 40
sim = SimWrap(ctrl, p, cdict, pdict);
sim.TO_show_clusters = False
sim.ctrl.saveall = False
with warnings.catch_warnings():
warnings.filterwarnings("ignore")
sim.simulate()
ax = graphs.spatial_grid(ctrl, unit='m', s=12, show_broadcast=True)
graph_mods()
graphs.save('interd_grid_sensing')
graphs.show()
def basic_spatial_grid(ctrl):
ax = graphs.spatial_grid(ctrl, unit='m', s=12)
ax.set_xlabel('Meters')
ax.set_ylabel('Meters')
ax.set_aspect('equal')
graphs.save('basic_spatial_grid')
graphs.show()
