A Mobile Charging and Data Collecting Algorithm Based on Multi-objective Optimization

Zengwei LÜ; Zhenchun WEI; Jianghong HAN; Renhao SUN; Chengkai XIA

doi:10.11999/JEIT180897

Volume 41 Issue 8

Aug. 2019

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Article Navigation > Journal of Electronics & Information Technology > 2019 > 41(8): 1877-1884

Zengwei LÜ, Zhenchun WEI, Jianghong HAN, Renhao SUN, Chengkai XIA. A Mobile Charging and Data Collecting Algorithm Based on Multi-objective Optimization[J]. Journal of Electronics & Information Technology, 2019, 41(8): 1877-1884. doi: 10.11999/JEIT180897

Citation:

Zengwei LÜ, Zhenchun WEI, Jianghong HAN, Renhao SUN, Chengkai XIA. A Mobile Charging and Data Collecting Algorithm Based on Multi-objective Optimization[J]. Journal of Electronics & Information Technology, 2019, 41(8): 1877-1884. doi: 10.11999/JEIT180897

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A Mobile Charging and Data Collecting Algorithm Based on Multi-objective Optimization

doi: 10.11999/JEIT180897

Zengwei LÜ¹,
Zhenchun WEI^{1, 2, 3
,
,},
Jianghong HAN^{1, 2, 3},
Renhao SUN¹,
Chengkai XIA¹

1.
School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230601, China
2.
Engineering Research Center of Safety Critical Industrial Measurement and Control Technology, Ministry of Education, Hefei 230000, China
3.
Key Laboratory of Industry Safety and Emergency Technology, Anhui Province, Hefei 230002, China

Funds: The National Natural Science Foundation of China (61502142, 61701162)

Received Date: 2018-09-18
Rev Recd Date: 2019-03-04

Available Online: 2019-03-26

Publish Date: 2019-08-01

Abstract

Abstract

Recently, the mobile charging and data collecting by using Mobile Equipment (ME) in Wireless Sensor Networks (WSNs) is a hot topic. Existing studies determine usually the traveling path of ME according to the charging requirements of sensor nodes firstly, and then handle the data collecting. In this paper, charging requirement and data collecting are taken into consideration simultaneously. A one-to-many charging and data collecting model for ME is established with two optimization objectives, maximizing the total energy utilization and minimizing the average delay of data collecting. Due to the limited energy of the ME, the path planning strategy and the equalization charging strategy are designed. An improved multi-objective ant colony algorithm is proposed to solve the problem. Experiments show that the objective values, the number of Pareto solutions, the homogeneity of Pareto solutions and the distribution of Pareto solutions obtained by the proposed algorithm are all superior over NSGA-II algorithm.
- Wireless Rechargeable Sensor Networks (WRSNs),
- Data collecting,
- Multiple-objective optimization

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References(18)

References

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