Introduction
Background
Agent-based modeling
Self-organization
Complex networks
Small-world network
Scale-free network
Random network
Lattice network
Internet of things
Model development for self-organized power consumption approximation algorithm
SOPCA algorithm
Model development of networks
Random network
Lattice network
Small-world network
Scale-free network
Simulation setup
Experiments and metrics
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100 m × 100 m2 region
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Number of nodes = 300, 400, 500
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Number of sources = 5, 10, 15, 20
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Transmission range = 10 m
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Networks: random network, lattice network, small world network, scale-free network
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No. of runs = 4 (1, 10, 20, 30 runs)
Results and discussion
Estimation of energy consumption
Discussion of simulation results
Symbol | Value |
---|---|
N, number of nodes | 300, 400, 500 |
S, number of source nodes | 5 |
R, transmission range | 10 m |
Eelec, radio dissipation | 50 nJ/bit |
ETx, transmitter electronics | 50 nJ/bit |
ERx, receiver electronics | 50 nJ/bit |
Eamp, transmit amplifier | 0.1 nJ/bit/m2
|
CPsize, size of control packet | 1 byte |
DPsize, size of data packet | 64 bytes |
Senergy, initial energy of sensor nodes | 0.25 J |
Network | SOPCA algorithm power estimation (mJ) |
---|---|
Random network | 3–16 |
Lattice network | 4–18 |
Small-world network | 2–17.5 |
Scale-free network | 4–22 |