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Use cartopy 0.19.0 for proj-bin compatibility #8

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Use cartopy 0.19.0 for proj-bin compatibility #8

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9d9cfcf
Use cartopy 0.19.0 for proj-bin compatibility
ashiqopu Jan 12, 2022
04cf414
custom example set and data generated for starlink
ashiqopu Apr 24, 2022
68a4177
large-starlink states added
ashiqopu May 3, 2022
06d3323
Update README.md
hchang19 May 24, 2022
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -61,7 +61,7 @@ BibTeX citation:
## Getting started

1. System setup:
- Python version 3.7+
- Python version 3.7+ but less than python 3.10
- Recent Linux operating system (e.g., Ubuntu 18+)

2. Install dependencies:
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2 changes: 1 addition & 1 deletion hypatia_install_dependencies.sh
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Expand Up @@ -17,7 +17,7 @@ sudo apt-get install libproj-dev proj-data proj-bin libgeos-dev || exit 1
# export CFLAGS=-stdlib=libc++
# MACOSX_DEPLOYMENT_TARGET=10.14
pip install git+https://github.com/snkas/[email protected] || exit 1
pip install cartopy || exit 1
pip install cartopy==0.19.0.post1 || exit 1

# ns3-sat-sim
echo "Installing dependencies for ns3-sat-sim..."
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2 changes: 2 additions & 0 deletions ns3-sat-sim/simulator/.gitignore
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Expand Up @@ -4,3 +4,5 @@
!scratch
!src
!test_data
!my-test
!quick-demo.md
2 changes: 2 additions & 0 deletions ns3-sat-sim/simulator/my-test/end_to_end/run/.gitignore
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logs_ns3
temp
18 changes: 18 additions & 0 deletions ns3-sat-sim/simulator/my-test/end_to_end/run/config_ns3.properties
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simulation_end_time_ns=200000000000
simulation_seed=123456789

satellite_network_dir="../satellite_network_state"
satellite_network_routes_dir="../satellite_network_state/dynamic_state_100ms_for_200s"
dynamic_state_update_interval_ns=100000000

isl_data_rate_megabit_per_s=10.0
gsl_data_rate_megabit_per_s=10.0
isl_max_queue_size_pkts=100
gsl_max_queue_size_pkts=100

enable_isl_utilization_tracking=true
isl_utilization_tracking_interval_ns=1000000000

enable_udp_burst_scheduler=true
udp_burst_schedule_filename="udp_burst_schedule.csv"
udp_burst_enable_logging_for_udp_burst_ids=set(0)
1 change: 1 addition & 0 deletions ns3-sat-sim/simulator/my-test/end_to_end/run/udp_burst_schedule.csv
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0,17,18,10.0,0,190000000000,,
1 change: 1 addition & 0 deletions ns3-sat-sim/simulator/my-test/end_to_end/satellite_network_state/.gitignore
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dynamic_state_100ms_for_200s
2 changes: 2 additions & 0 deletions ns3-sat-sim/simulator/my-test/end_to_end/satellite_network_state/description.txt
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max_gsl_length_m=1260000.0000000000
max_isl_length_m=5442958.2030362869
Binary file added .../simulator/my-test/end_to_end/satellite_network_state/dynamic_state_100ms_for_200s.tar.gz
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2 changes: 2 additions & 0 deletions ns3-sat-sim/simulator/my-test/end_to_end/satellite_network_state/ground_stations.txt
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0,Manila,14.604200,120.982200,0.000000,-3177879.424386,5292603.275242,1597759.166873
1,Dalian,38.913811,121.602322,0.000000,-2604036.495133,4232416.568615,3984875.526585
19 changes: 19 additions & 0 deletions ns3-sat-sim/simulator/my-test/end_to_end/satellite_network_state/gsl_interfaces_info.txt
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0,1,1.000000
1,1,1.000000
2,1,1.000000
3,1,1.000000
4,1,1.000000
5,1,1.000000
6,1,1.000000
7,1,1.000000
8,1,1.000000
9,1,1.000000
10,1,1.000000
11,1,1.000000
12,1,1.000000
13,1,1.000000
14,1,1.000000
15,1,1.000000
16,1,1.000000
17,1,1.000000
18,1,1.000000
20 changes: 20 additions & 0 deletions ns3-sat-sim/simulator/my-test/end_to_end/satellite_network_state/isls.txt
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0 1
0 4
1 5
2 3
2 6
3 4
3 7
4 5
6 7
8 9
8 12
9 13
10 11
11 12
11 14
12 13
12 15
13 16
14 15
15 16
52 changes: 52 additions & 0 deletions ns3-sat-sim/simulator/my-test/end_to_end/satellite_network_state/tles.txt
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1 17
Kuiper-630 0
1 00184U 00000ABC 00001.00000000 .00000000 00000-0 00000+0 0 06
2 00184 51.9000 52.9412 0000001 0.0000 142.9412 14.80000000 00
Kuiper-630 1
1 00185U 00000ABC 00001.00000000 .00000000 00000-0 00000+0 0 07
2 00185 51.9000 52.9412 0000001 0.0000 153.5294 14.80000000 07
Kuiper-630 2
1 00216U 00000ABC 00001.00000000 .00000000 00000-0 00000+0 0 02
2 00216 51.9000 63.5294 0000001 0.0000 116.4706 14.80000000 04
Kuiper-630 3
1 00217U 00000ABC 00001.00000000 .00000000 00000-0 00000+0 0 03
2 00217 51.9000 63.5294 0000001 0.0000 127.0588 14.80000000 01
Kuiper-630 4
1 00218U 00000ABC 00001.00000000 .00000000 00000-0 00000+0 0 04
2 00218 51.9000 63.5294 0000001 0.0000 137.6471 14.80000000 00
Kuiper-630 5
1 00219U 00000ABC 00001.00000000 .00000000 00000-0 00000+0 0 05
2 00219 51.9000 63.5294 0000001 0.0000 148.2353 14.80000000 08
Kuiper-630 6
1 00250U 00000ABC 00001.00000000 .00000000 00000-0 00000+0 0 00
2 00250 51.9000 74.1176 0000001 0.0000 121.7647 14.80000000 02
Kuiper-630 7
1 00251U 00000ABC 00001.00000000 .00000000 00000-0 00000+0 0 01
2 00251 51.9000 74.1176 0000001 0.0000 132.3529 14.80000000 00
Kuiper-630 8
1 00616U 00000ABC 00001.00000000 .00000000 00000-0 00000+0 0 06
2 00616 51.9000 190.5882 0000001 0.0000 31.7647 14.80000000 05
Kuiper-630 9
1 00617U 00000ABC 00001.00000000 .00000000 00000-0 00000+0 0 07
2 00617 51.9000 190.5882 0000001 0.0000 42.3529 14.80000000 03
Kuiper-630 10
1 00648U 00000ABC 00001.00000000 .00000000 00000-0 00000+0 0 01
2 00648 51.9000 201.1765 0000001 0.0000 15.8824 14.80000000 09
Kuiper-630 11
1 00649U 00000ABC 00001.00000000 .00000000 00000-0 00000+0 0 02
2 00649 51.9000 201.1765 0000001 0.0000 26.4706 14.80000000 07
Kuiper-630 12
1 00650U 00000ABC 00001.00000000 .00000000 00000-0 00000+0 0 04
2 00650 51.9000 201.1765 0000001 0.0000 37.0588 14.80000000 05
Kuiper-630 13
1 00651U 00000ABC 00001.00000000 .00000000 00000-0 00000+0 0 05
2 00651 51.9000 201.1765 0000001 0.0000 47.6471 14.80000000 04
Kuiper-630 14
1 00683U 00000ABC 00001.00000000 .00000000 00000-0 00000+0 0 00
2 00683 51.9000 211.7647 0000001 0.0000 21.1765 14.80000000 08
Kuiper-630 15
1 00684U 00000ABC 00001.00000000 .00000000 00000-0 00000+0 0 01
2 00684 51.9000 211.7647 0000001 0.0000 31.7647 14.80000000 05
Kuiper-630 16
1 00685U 00000ABC 00001.00000000 .00000000 00000-0 00000+0 0 02
2 00685 51.9000 211.7647 0000001 0.0000 42.3529 14.80000000 03
Binary file added ns3-sat-sim/simulator/my-test/large-starlink.tar.gz
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2 changes: 2 additions & 0 deletions ns3-sat-sim/simulator/my-test/large-starlink/run/.gitignore
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logs_ns3
temp
18 changes: 18 additions & 0 deletions ns3-sat-sim/simulator/my-test/large-starlink/run/config_ns3.properties
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simulation_end_time_ns=200000000000
simulation_seed=123456789

satellite_network_dir="../satellite_network_state"
satellite_network_routes_dir="../satellite_network_state/dynamic_state_100ms_for_500s"
dynamic_state_update_interval_ns=100000000

isl_data_rate_megabit_per_s=10.0
gsl_data_rate_megabit_per_s=10.0
isl_max_queue_size_pkts=100
gsl_max_queue_size_pkts=100

enable_isl_utilization_tracking=true
isl_utilization_tracking_interval_ns=1000000000

enable_udp_burst_scheduler=true
udp_burst_schedule_filename="udp_burst_schedule.csv"
udp_burst_enable_logging_for_udp_burst_ids=set(0)
1 change: 1 addition & 0 deletions ns3-sat-sim/simulator/my-test/large-starlink/run/udp_burst_schedule.csv
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0,1593,1590,10.0,0,200000000000,,
1 change: 1 addition & 0 deletions ns3-sat-sim/simulator/my-test/large-starlink/satellite_network_state/.gitignore
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dynamic_state_100ms_for_500s
2 changes: 2 additions & 0 deletions ns3-sat-sim/simulator/my-test/large-starlink/satellite_network_state/description.txt
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max_gsl_length_m=1089686.4181956202
max_isl_length_m=5016591.2330984278
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100 changes: 100 additions & 0 deletions ns3-sat-sim/simulator/my-test/large-starlink/satellite_network_state/ground_stations.txt
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@@ -0,0 +1,100 @@
0,Tokyo,35.689500,139.691710,0.000000,-3954843.592378,3354935.154958,3700263.820217
1,Delhi,28.666670,77.216670,0.000000,1239227.233093,5461834.040626,3041536.573362
2,Shanghai,31.222220,121.458060,0.000000,-2849046.996683,4656870.262308,3286986.751947
3,São-Paulo,-23.547500,-46.636110,0.000000,4016884.413346,-4253102.280352,-2532418.944537
4,Mumbai-(Bombay),19.073975,72.880838,0.000000,1775024.409639,5762948.394748,2071089.571952
5,Ciudad-de-México-(Mexico-City),19.427318,-99.141869,0.000000,-956013.259084,-5940788.312317,2108015.826874
6,Beijing,39.907500,116.397230,0.000000,-2178189.628682,4388467.259356,4070111.420547
7,Kinki-M.M.A.-(Osaka),34.675834,135.553823,0.000000,-3748711.554631,3676932.782387,3608349.262864
8,Al-Qahirah-(Cairo),30.039173,31.239411,0.000000,4724843.145927,2865910.587720,3174132.831160
9,New-York-Newark,40.717042,-74.003663,0.000000,1334103.172127,-4653693.528901,4138656.197504
10,Dhaka,23.710400,90.407440,0.000000,-41549.625564,5842769.626778,2548947.975045
11,Karachi,24.905600,67.082200,0.000000,2254070.750009,5331511.452239,2669592.977412
12,Buenos-Aires,-34.605083,-58.400368,0.000000,2753742.582969,-4476209.103195,-3601891.870081
13,Kolkata-(Calcutta),22.533455,88.356045,0.000000,169092.840058,5891674.215633,2429078.655825
14,Istanbul,41.013800,28.949700,0.000000,4217352.684891,2332879.103760,4163578.605821
15,Chongqing,29.562780,106.552780,0.000000,-1581849.527589,5322225.908964,3128308.696599
16,Lagos,6.453060,3.395830,0.000000,6326864.177950,375422.898833,712064.787620
17,Manila,14.604200,120.982200,0.000000,-3177879.424386,5292603.275242,1597759.166873
18,Rio-de-Janeiro,-22.902780,-43.207500,0.000000,4284573.241489,-4024537.642061,-2466804.550393
19,Guangzhou--Guangdong,23.125457,113.257374,0.000000,-2317313.016439,5391778.733951,2489501.977608
20,Los-Angeles-Long-Beach-Santa-Ana,34.031656,-118.241716,0.000000,-2503798.769560,-4661412.425279,3549356.151964
21,Moskva-(Moscow),55.754996,37.621849,0.000000,2849364.249488,2196037.348543,5249138.475472
22,Kinshasa,-4.327580,15.313570,0.000000,6134256.671861,1679704.404461,-478073.165313
23,Tianjin,39.108842,117.188620,0.000000,-2264370.447528,4408141.730657,4001699.197281
24,Paris,48.853410,2.348800,0.000000,4201190.555426,172321.379909,4779846.644084
25,Shenzhen,22.541487,114.063427,0.000000,-2403166.789304,5381560.015595,2429900.172276
26,Jakarta,-6.211831,106.841646,0.000000,-1837143.664996,6068967.145506,-685550.598173
27,London,51.508530,-0.125740,0.000000,3977894.865463,-8729.810601,4968951.845089
28,Bangalore,12.971940,77.593690,0.000000,1335552.388629,6071252.439084,1422379.953394
29,Lima,-12.043180,-77.028240,0.000000,1400398.086889,-6079459.809817,-1322074.118986
30,Chennai-(Madras),13.053091,80.248750,0.000000,1052537.955389,6124609.513043,1431127.192297
31,Seoul,37.568260,126.977830,0.000000,-3044695.344273,4043701.687491,3867570.794742
32,Bogotá,4.609710,-74.081750,0.000000,1743681.827647,-6113850.813796,509176.510048
33,Chukyo-M.M.A.-(Nagoya),35.181470,136.906410,0.000000,-3811007.345744,3565477.965448,3654339.372135
34,Johannesburg,-26.202270,28.043630,0.000000,5054116.749558,2692260.259376,-2799185.281365
35,Krung-Thep-(Bangkok),13.721964,100.525248,0.000000,-1132045.841289,6092987.288584,1503115.898128
36,Hyderabad,17.375280,78.474440,0.000000,1216595.812180,5966134.892947,1892510.821705
37,Chicago,41.850030,-87.650050,0.000000,195096.855909,-4754125.753385,4233209.250228
38,Lahore,31.549722,74.343611,0.000000,1468173.614710,5238496.839736,3317985.617423
39,Tehran,35.694390,51.421510,0.000000,3233827.521754,4054066.363541,3700704.469968
40,Wuhan,30.583330,114.266670,0.000000,-2258619.529224,5010056.414002,3226210.113082
41,Chengdu,30.666670,104.066670,0.000000,-1334574.922496,5326277.039903,3234160.733404
42,Dongguan,23.021160,113.741411,0.000000,-2364602.229386,5376153.416252,2478875.588813
43,Nanjing--Jiangsu,32.048183,118.789812,0.000000,-2606033.477898,4742354.568215,3364960.387916
44,Ahmadabad,23.033330,72.616670,0.000000,1754535.433764,5604443.080389,2480115.956839
45,Hong-Kong,22.279588,114.188697,0.000000,-2419457.493209,5386378.752779,2403088.912615
46,Thành-Pho-Ho-Chí-Minh-(Ho-Chi-Minh-City),10.750000,106.666670,0.000000,-1797376.449356,6003654.168380,1181849.053055
47,Foshan,23.022778,113.119953,0.000000,-2306124.379924,5401419.856562,2479040.501933
48,Kuala-Lumpur,3.141200,101.686530,0.000000,-1290008.255785,6236597.529036,347165.345400
49,Baghdad,33.340580,44.400880,0.000000,3810801.668705,3731927.368190,3485575.399997
50,Santiago,-33.456940,-70.648270,0.000000,1765090.062721,-5025755.180048,-3496349.820519
51,Hangzhou,30.293650,120.161420,0.000000,-2769390.549189,4765667.674845,3198522.407862
52,Ar-Riyadh-(Riyadh),24.690466,46.709566,0.000000,3975957.341095,4220595.030186,2647959.980346
53,Shenyang,41.792220,123.432780,0.000000,-2623888.534892,3974386.229069,4228424.169125
54,Madrid,40.416500,-3.702560,0.000000,4852700.063425,-314027.764315,4113303.836106
55,Xi'an--Shaanxi,34.289413,108.940242,0.000000,-1712246.267754,4989623.720437,3573014.886695
56,Toronto,43.700110,-79.416300,0.000000,848298.519234,-4539985.849087,4384061.168230
57,Miami,25.789097,-80.204044,0.000000,977713.397182,-5662739.769947,2758041.949627
58,Pune-(Poona),18.516057,73.861578,0.000000,1681654.422454,5811598.539917,2012627.060892
59,Belo-Horizonte,-19.920830,-43.937780,0.000000,4319717.312851,-4162446.455155,-2159458.309489
60,Dallas-Fort-Worth,32.725410,-97.320850,0.000000,-684402.314298,-5327213.827636,3428378.417526
61,Surat,21.166670,72.833330,0.000000,1756281.650351,5685335.007847,2288612.514428
62,Houston,29.760193,-95.369390,0.000000,-518553.538280,-5517182.475598,3147323.844701
63,Singapore,1.289670,103.850070,0.000000,-1526426.708911,6191135.431550,142592.490742
64,Philadelphia,39.952340,-75.163790,0.000000,1253680.828626,-4732878.313270,4073929.261226
65,Kitakyushu-Fukuoka-M.M.A.,33.606400,130.418100,0.000000,-3447685.930190,4048425.402416,3510168.245123
66,Luanda,-8.836820,13.234320,0.000000,6135530.183815,1442953.502786,-973332.344974
67,Suzhou--Jiangsu,31.302068,120.585259,0.000000,-2775442.218972,4695773.385067,3294554.366518
68,Haerbin,45.756325,126.646688,0.000000,-2660743.499399,3576601.748587,4546390.676410
69,Barcelona,41.388790,2.158990,0.000000,4788749.940967,180532.658215,4194912.663711
70,Atlanta,33.760000,-84.400000,0.000000,517979.453140,-5282763.124122,3524344.845288
71,Al-Khartum-(Khartoum),15.551770,32.532410,0.000000,5181700.582420,3305229.521059,1698996.465682
72,Dar-es-Salaam,-6.823490,39.269510,0.000000,4903063.006045,4008755.345169,-752755.591312
73,Sankt-Peterburg-(Saint-Petersburg),59.929858,30.326228,0.000000,2765465.818184,1617706.410247,5496564.164974
74,Washington--D.C.,38.895110,-77.036370,0.000000,1115077.326892,-4843956.912642,3983259.944079
75,Abidjan,5.345339,-4.026789,0.000000,6334905.313477,-445956.237759,590216.959218
76,Guadalajara,20.666670,-103.333330,0.000000,-1376819.862278,-5809261.295506,2236902.772145
77,Yangon,16.805280,96.156110,0.000000,-654949.605300,6072232.910912,1832214.567293
78,Al-Iskandariyah-(Alexandria),31.192471,29.904596,0.000000,4733877.074951,2722605.361746,3284165.670937
79,Ankara,39.919870,32.854270,0.000000,4114933.206347,2657413.259345,4071164.894156
80,Kabul,34.528887,69.172460,0.000000,1870306.243973,4916495.830781,3594931.444457
81,Qingdao,36.098610,120.371940,0.000000,-2608730.853367,4451467.508186,3737037.226323
82,Chittagong,22.333060,91.836390,0.000000,-189151.138617,5899536.941969,2408567.006775
83,Monterrey,25.666670,-100.316670,0.000000,-1030190.682169,-5659412.855777,2745823.571687
84,Sydney,-33.867850,151.207320,0.000000,-4646012.998371,2553394.354988,-3534283.972607
85,Dalian,38.913811,121.602322,0.000000,-2604036.495133,4232416.568615,3984875.526585
86,Xiamen,24.479790,118.081870,0.000000,-2734075.677782,5124370.659385,2626739.638606
87,Zhengzhou,34.757780,113.648610,0.000000,-2104225.085559,4805264.241445,3615821.616573
88,Boston,42.347919,-71.064530,0.000000,1531995.558536,-4465570.029459,4274243.351971
89,Melbourne,-37.814000,144.963320,0.000000,-4130860.083993,2896402.244316,-3889153.848915
90,Brasília,-15.779720,-47.929720,0.000000,4113580.306742,-4557339.526311,-1723283.333407
91,Jiddah,21.516940,39.219170,0.000000,4599055.954142,3753461.491312,2324735.400544
92,Phoenix-Mesa,33.449454,-112.074743,0.000000,-2002030.901802,-4936649.332143,3495657.078422
93,Ji'nan--Shandong,36.676721,116.997142,0.000000,-2324885.209629,4563406.853589,3788679.751898
94,Montréal,45.508840,-73.587810,0.000000,1265076.478847,-4294987.215859,4527156.581594
95,Shantou,23.368140,116.714790,0.000000,-2633486.727911,5232740.073130,2514196.464030
96,Nairobi,-1.283330,36.816670,0.000000,5104788.767375,3821186.831259,-141891.623176
97,Medellín,6.251840,-75.563590,0.000000,1580709.307590,-6140254.591766,689948.941510
98,Fortaleza,-3.741170,-38.543575,0.000000,4977999.646785,-3965864.770186,-413389.059054
99,Kunming,25.038890,102.718330,0.000000,-1272997.103917,5640319.427885,2682977.502215
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