1 Introduction
2 Related work
3 The system model and problem statement
3.1 The network model
3.2 System parameters
Parameter | Description |
---|---|
E
O
| Initial energy |
D
LEA
| Self-learning duration |
D
COM
| Communication duration |
ε
T
| Power consumption of transmission |
ε
R
| Power consumption of reception |
ε
LEA
| Power consumption of self-learning |
ε
S
| Power consumption of sleeping |
D
B
| Preamble duration |
D
ACK
| Acknowledge window duration |
D
P
| Packet duration |
C
COM
| Communication duty cycle |
C
LEA
| Self-learning duty cycle |
E
LPL
| Energy consumption in low power listening |
E
T
| Energy consumption in transmission |
E
LEA
| Energy consumption in self-learning |
E
R
| Energy consumption in receiving |
Y
| Network delay |
E
U
| Energy utilization |
r
| The transmission range of a node |
ρ
| Node density |
T
N
| Network lifetime |
3.3 Problem statement
4 Design of LS approach
4.1 Research motivation
4.2 LS approach
5 Performance analysis of LS approach
5.1 Delay analysis
5.2 Energy consumption analysis
6 Simulation result
Parameter | Value | Description |
---|---|---|
E
O
| 0.5 | Initial energy (J) |
D
COM
| 100 | Communication duration (ms) |
ε
T
| 0.0511 | Power consumption of transmission (W) |
ε
R
| 0.0588 | Power consumption of reception (W) |
ε
S
| 2.4 × 10−7 | Power consumption of sleeping (W) |
r
| 80 | The transmission range of a node (m) |
D
B
| 0.26 | Preamble duration (ms) |
D
ACK
| 0.26 | Acknowledge window duration (ms) |
D
P
| 0.93 | Packet duration (ms) |