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Design and Optimization Analysis of Energy-Efficient Routing Algorithms in Wireless Sensor Networks

Hao Li

Hao Li

School of Mechanical and Electrical Engineering, Suzhou UniversitySuzhou, China
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Li, Hao
, 
Rongxin Cai

Rongxin Cai

Suzhou Technician College of Anhui ProvinceSuzhou, China
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Cai, Rongxin
 and 
Kai Guo

Kai Guo

School of Mechanical and Electrical Engineering, Suzhou UniversitySuzhou, China
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Guo, Kai
  
Mar 17, 2025
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Published Online: Mar 17, 2025
Received: Oct 27, 2024
Accepted: Feb 06, 2025
DOI: https://doi.org/10.2478/amns-2025-0347
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© 2025 Hao Li et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

Distribution of nodes in the simulation network
Distribution of nodes in the simulation network

Figure 2.

The operation of the network survival nodes of each algorithm
The operation of the network survival nodes of each algorithm

Figure 3.

The comparison of the number of anchor points in the different algorithm
The comparison of the number of anchor points in the different algorithm

Figure 4.

Different algorithms are compared with the length of the BS mobile path
Different algorithms are compared with the length of the BS mobile path

Figure 5.

The delay of the dynamic network load is the result
The delay of the dynamic network load is the result

The comparison of the transmission success rate of each algorithm

Contrast method MPHR-RL E-WA E-WM E-WI
The success rate of task transmission in static network load (%) Low load 99.87 93.01 90.85 89.93
Middle load 98.17 81.04 85.98 88.79
High load 98.01 53.83 65.87 74.23
Mission transmission success rate in dynamic network load (%) 98.85 73.27 76.16 79.78
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English
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Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
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