Localization Method Based on Modified Cuckoo Difference Optimization for Wireless Sensor Networks

Authors

Dengfeng Liu, 1. Key Laboratory of Industrial Advanced Process Control, Ministry of Education, Jiangnan University, Wuxi 214122, China; ;
Zhang Li, 2. Spreadtrum Communications Inc., Shanghai 201203, China;
Xiaoying Bing, 1. Key Laboratory of Industrial Advanced Process Control, Ministry of Education, Jiangnan University, Wuxi 214122, China; ;
Yuqian Shao, 1. Key Laboratory of Industrial Advanced Process Control, Ministry of Education, Jiangnan University, Wuxi 214122, China; ;
Baoguo Xu, 1. Key Laboratory of Industrial Advanced Process Control, Ministry of Education, Jiangnan University, Wuxi 214122, China; ;

Abstract

Abstract: To solve the sensitive and accumulative ranging error issue in the trilateration method and the maximum likelihood estimation method for the DV-Hop localization algorithm, an algorithm based on the Cuckoo difference optimization was proposed. The proposed algorithm essentially turned the positioning calculation problem into a group optimization problem. Using the Cuckoo algorithm and the differential evolution algorithm for parallel optimization with double populations, the proposed algorithm fused the advantages of the two kinds of intelligent optimization algorithms, which dynamically rectified the abandoned factor and the scaled variation factor randomly at the same time. The Cuckoo differential evolution algorithm's global search ability was enhanced to maintain the population diversity, which made the estimated coordinates closer to the real values. Without any increase in communication overhead, the positioning precision was improved effectively.

Recommended Citation

Liu, Dengfeng; Li, Zhang; Bing, Xiaoying; Shao, Yuqian; and Xu, Baoguo (2020) "Localization Method Based on Modified Cuckoo Difference Optimization for Wireless Sensor Networks," Journal of System Simulation: Vol. 29: Iss. 4, Article 12.
DOI: 10.16182/j.issn1004731x.joss.201704012
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss4/12

First Page

791

Revised Date

2015-12-07

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201704012

Last Page

797

CLC

TP393

Recommended Citation

Liu Dengfeng, Zhang Li, Bing Xiaoying, Shao Yuqian, Xu Baoguo. Localization Method Based on Modified Cuckoo Difference Optimization for Wireless Sensor Networks[J]. Journal of System Simulation, 2017, 29(4): 791-797.

DOI

10.16182/j.issn1004731x.joss.201704012