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VI. SIMULATION RESULTS
Simulation summary…
Intruder objects are supposed moving follow specific paths and come from outside of the network area. No data aggregation is allowed. The moving paths of
objects are created by draw images. A MATLAB program reads the images and generates appropriate text files of positions of the path images. 4 paths 1, 2, 3, 4 are
shown respectively as in Figure 15
Figure 15: Four intruder object moving paths
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VI. SIMULATION RESULTS
Simulation results:
Figure 16: Simulation status of 3 methods in the case of 700 nodes
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VI. SIMULATION RESULTS
Simulation results...
The detail results are shown in the
thesis document. This presentation just
shows the main results of the
simulation.
Table 2: Summary of node deployment of the 3 methods Num of
nodes DC
LEACH-based OCO
200 200
200 178 126 border
nodes 250
250 250
212 136 border nodes
300 300
300 230 126 border
nodes 350
350 350
251 131 border nodes
400 400
400 269 110 border
nodes 450
450 450
280 101 border nodes
500 500
500 285 101 border
nodes 550
550 550
291 86 border nodes 600
600 600
287 88 border nodes 650
650 650
278 83 border nodes 700
700 700
299 72 border nodes 750
750 750
297 74 border nodes 800
800 800
294 73 border nodes 850
850 850
293 73 border nodes 900
900 900
279 66 border nodes 950
950 950
315 61 border nodes 1000
1000 1000
295 60 border nodes
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VI. SIMULATION RESULTS
Simulation results in the case of no intruder object
Figure 17: Energy consumption left and time before first dead node right of the 3 methods in 9000 seconds Note that if the time before first dead node is 1000, it means there are no dead node in the simulation
The energy consumption of OCO is the higher when the number of node is 200. When the number of nodes increases, the energy dissipation goes to a constant. That is because, when
the number of node increases, the size of the border decreases less gaps in the network coverage and more straight in the border line
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VI. SIMULATION RESULTS
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