omnetpp.vec

这是一个基于OMNeT++的仿真模型,编程语采用C

vector 4  "tictoc13.tic[4]"  "HopCount"  1
4	0.2	2
vector 5  "tictoc13.tic[5]"  "HopCount"  1
5	0.3	1
vector 0  "tictoc13.tic[0]"  "HopCount"  1
0	0.6	3
vector 2  "tictoc13.tic[2]"  "HopCount"  1
2	0.8	2
4	1	2
0	1.2	2
vector 1  "tictoc13.tic[1]"  "HopCount"  1
1	1.3	1
2	1.4	1
5	1.7	3
4	1.8	1
1	1.9	1
vector 3  "tictoc13.tic[3]"  "HopCount"  1
3	2.1	2
5	2.3	2
2	2.6	3
5	2.9	3
3	3.1	2
5	3.3	2
2	3.6	3
5	3.9	3
2	4.2	3
5	4.5	3
1	4.7	2
2	4.8	1
0	5	2
2	5.2	2
1	5.3	1
2	5.4	1
1	5.5	1
0	5.6	1
5	5.9	3
1	6.1	2
0	6.2	1
1	6.3	1
4	6.4	1
2	6.6	2
1	6.7	1
0	6.8	1
4	7	2
1	7.1	1
2	7.2	1
4	7.4	2
5	7.5	1
0	7.8	3
2	8	2
4	8.2	2
5	8.3	1
2	8.6	3
5	8.9	3
0	9.2	3
4	9.4	2
1	9.5	1
3	9.7	2
0	10	3
5	10.3	3
1	10.5	2
3	10.7	2
2	11	3
1	11.1	1
0	11.2	1
2	11.4	2
4	11.6	2
5	11.7	1
3	11.9	2
1	12.1	2
4	12.2	1
0	12.4	2
1	12.5	1
3	12.7	2
2	13	3
1	13.1	1
4	13.2	1
5	13.3	1
2	13.6	3
0	13.8	2
1	13.9	1
2	14	1
1	14.1	1
4	14.2	1
0	14.4	2
1	14.5	1
5	14.7	2
2	15	3
5	15.3	3
3	15.5	2
4	15.6	1
0	15.8	2
4	16	2
5	16.1	1
3	16.3	2
5	16.5	2
4	16.6	1
5	16.7	1
1	16.9	2
0	17	1
5	17.3	3
2	17.6	3
0	17.8	2
3	18.1	3
5	18.3	2
1	18.5	2
2	18.6	1
0	18.8	2
3	19.1	3
5	19.3	2
4	19.4	1
0	19.6	2
5	19.9	3
1	20.1	2
5	20.3	2
1	20.5	2
0	20.6	1
3	20.9	3
4	21	1
1	21.1	1
3	21.3	2
5	21.5	2
4	21.6	1
2	21.8	2
3	22.1	3
0	22.4	3
2	22.6	2
3	22.9	3
2	23.2	3
0	23.4	2
2	23.6	2
3	23.9	3
5	24.1	2
0	24.4	3
2	24.6	2
3	24.9	3
1	25.1	2
5	25.3	2
2	25.6	3
0	25.8	2
1	25.9	1
2	26	1
0	26.2	2
2	26.4	2
4	26.6	2
1	26.7	1
2	26.8	1
5	27.1	3
4	27.2	1
3	27.3	1
0	27.6	3
4	27.8	2
0	28	2
4	28.2	2
1	28.3	1
3	28.5	2
5	28.7	2
0	29	3
1	29.1	1
4	29.2	1
1	29.3	1
2	29.4	1
0	29.6	2
1	29.7	1
5	29.9	2
2	30.2	3
4	30.4	2
5	30.5	1
2	30.8	3
0	31	2
4	31.2	2
3	31.3	1
1	31.5	2
3	31.7	2
5	31.9	2
3	32.1	2
0	32.4	3
1	32.5	1
5	32.7	2
2	33	3
5	33.3	3
2	33.6	3
0	33.8	2
4	34	2
0	34.2	2
1	34.3	1
5	34.5	2
2	34.8	3
1	34.9	1
0	35	1
5	35.3	3
3	35.5	2
0	35.8	3
2	36	2
3	36.3	3
5	36.5	2
4	36.6	1
3	36.7	1
4	36.8	1
3	36.9	1
4	37	1
2	37.2	2
4	37.4	2
3	37.5	1
5	37.7	2
3	37.9	2
2	38.2	3
5	38.5	3
4	38.6	1
0	38.8	2
4	39	2
3	39.1	1
0	39.4	3
4	39.6	2
1	39.7	1
0	39.8	1
3	40.1	3
2	40.4	3
3	40.7	3
0	41	3
3	41.3	3
1	41.5	2
5	41.7	2
0	42	3
5	42.3	3
4	42.4	1
1	42.5	1
4	42.6	1
1	42.7	1
5	42.9	2
1	43.1	2
3	43.3	2
1	43.5	2
0	43.6	1
1	43.7	1
3	43.9	2
5	44.1	2
1	44.3	2
0	44.4	1
1	44.5	1
4	44.6	1
1	44.7	1
0	44.8	1
5	45.1	3
3	45.3	2
2	45.6	3
4	45.8	2
5	45.9	1
4	46	1
3	46.1	1
0	46.4	3
1	46.5	1
0	46.6	1
5	46.9	3
1	47.1	2
5	47.3	2
1	47.5	2
3	47.7	2
2	48	3
5	48.3	3
3	48.5	2
5	48.7	2
4	48.8	1
0	49	2
4	49.2	2
2	49.4	2
5	49.7	3
3	49.9	2
5	50.1	2
2	50.4	3
4	50.6	2
0	50.8	2
3	51.1	3
1	51.3	2
4	51.4	1
2	51.6	2
0	51.8	2
2	52	2
5	52.3	3
1	52.5	2
4	52.6	1
3	52.7	1
1	52.9	2
3	53.1	2
0	53.4	3
3	53.7	3
5	53.9	2
0	54.2	3
3	54.5	3
5	54.7	2
3	54.9	2
5	55.1	2
3	55.3	2
0	55.6	3
5	55.9	3
2	56.2	3
3	56.5	3
5	56.7	2
1	56.9	2
3	57.1	2
1	57.3	2
2	57.4	1
1	57.5	1
0	57.6	1
5	57.9	3
4	58	1
2	58.2	2
3	58.5	3
4	58.6	1
1	58.7	1
5	58.9	2
0	59.2	3
1	59.3	1
4	59.4	1
2	59.6	2
5	59.9	3
1	60.1	2
4	60.2	1
1	60.3	1
2	60.4	1
3	60.7	3
5	60.9	2
0	61.2	3
4	61.4	2
0	61.6	2
5	61.9	3
2	62.2	3
4	62.4	2
1	62.5	1
2	62.6	1
5	62.9	3
4	63	1
0	63.2	2
3	63.5	3
1	63.7	2
4	63.8	1
0	64	2
2	64.2	2
0	64.4	2
3	64.7	3
2	65	3
5	65.3	3
3	65.5	2
2	65.8	3
3	66.1	3
2	66.4	3
0	66.6	2
3	66.9	3
0	67.2	3
5	67.5	3
1	67.7	2
0	67.8	1
3	68.1	3
4	68.2	1
0	68.4	2
5	68.7	3
3	68.9	2
4	69	1
3	69.1	1
0	69.4	3
4	69.6	2
1	69.7	1
3	69.9	2
0	70.2	3
2	70.4	2
5	70.7	3
2	71	3
4	71.2	2
5	71.3	1
4	71.4	1
2	71.6	2
1	71.7	1
3	71.9	2
0	72.2	3
4	72.4	2
3	72.5	1
2	72.8	3
0	73	2
1	73.1	1
0	73.2	1
1	73.3	1
3	73.5	2
5	73.7	2
0	74	3
5	74.3	3
1	74.5	2
3	74.7	2
1	74.9	2
3	75.1	2
5	75.3	2
1	75.5	2
4	75.6	1
1	75.7	1
2	75.8	1
3	76.1	3
5	76.3	2
1	76.5	2
0	76.6	1
3	76.9	3
1	77.1	2
3	77.3	2
0	77.6	3
1	77.7	1
4	77.8	1
5	77.9	1
1	78.1	2
0	78.2	1
5	78.5	3
0	78.8	3
4	79	2
2	79.2	2
5	79.5	3
3	79.7	2
2	80	3
5	80.3	3
2	80.6	3
5	80.9	3
0	81.2	3
1	81.3	1
5	81.5	2
2	81.8	3
3	82.1	3
5	82.3	2
2	82.6	3
4	82.8	2
0	83	2
1	83.1	1
5	83.3	2
3	83.5	2
5	83.7	2
3	83.9	2
4	84	1
5	84.1	1
0	84.4	3
4	84.6	2
1	84.7	1
5	84.9	2
4	85	1
3	85.1	1
2	85.4	3
3	85.7	3
2	86	3
3	86.3	3
2	86.6	3
0	86.8	2
3	87.1	3
1	87.3	2
3	87.5	2
4	87.6	1
0	87.8	2
1	87.9	1
2	88	1
1	88.1	1
4	88.2	1
3	88.3	1
4	88.4	1
1	88.5	1
4	88.6	1
3	88.7	1
4	88.8	1
1	88.9	1
4	89	1
0	89.2	2
5	89.5	3
0	89.8	3
3	90.1	3
5	90.3	2
4	90.4	1
2	90.6	2
0	90.8	2
4	91	2
2	91.2	2
5	91.5	3
0	91.8	3
5	92.1	3
2	92.4	3
4	92.6	2
5	92.7	1
2	93	3
5	93.3	3
1	93.5	2
4	93.6	1
5	93.7	1
3	93.9	2
0	94.2	3
4	94.4	2
0	94.6	2
5	94.9	3
3	95.1	2
0	95.4	3
4	95.6	2
1	95.7	1
5	95.9	2
4	96	1
2	96.2	2
3	96.5	3
5	96.7	2
2	97	3
1	97.1	1
3	97.3	2
4	97.4	1
1	97.5	1
4	97.6	1
3	97.7	1
0	98	3
5	98.3	3
3	98.5	2
4	98.6	1
3	98.7	1
4	98.8	1
0	99	2
3	99.3	3
4	99.4	1
1	99.5	1
4	99.6	1
2	99.8	2