A parallel compact sine cosine algorithm for TDOA localization of wireless sensor network

Siqi Zhang (), Fang Fan (), Wei Li (), Shu-Chuan Chu () and Jeng-Shyang Pan ()
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Siqi Zhang: College of Computer Science and Engineering Shandong University of Science and Technology
Fang Fan: Shandong University of Science and Technology
Wei Li: Harbin Engineering University
Shu-Chuan Chu: College of Computer Science and Engineering Shandong University of Science and Technology
Jeng-Shyang Pan: Chaoyang University of Technology

Telecommunication Systems: Modelling, Analysis, Design and Management, 2021, vol. 78, issue 2, No 6, 213-223

Abstract: Abstract A Parallel and Compact version of the Sine Cosine Algorithm (PCSCA) is proposed in this article. Parallel method can effectively improve search ability and increase the diversity of solutions. We develop three communication strategies based on parallelism idea to serve different types of optimization function to achieve the best performance. Furthermore, compact method uses statistical distribution to represent the solutions, which can save memory space and energy of the digital device. To check the optimization effect of the proposed PCSCA algorithm, it is tested on the CEC2013 benchmark function set and compared to SCA, parallel compact Cuckoo Search (PCCS) algorithms. The empirical study demonstrates that PCSCA has improved by 50.1% and 5.6%, compared to SCA and PCCS, respectively. Finally, we apply PCSCA to optimize the position accuracy of sensor node deployed in 3D actual terrain. Experimental results show that PCSCA can achieve lower localization error via Time Difference of Arrival method.

Keywords: Sine cosine algorithm; Parallel communication strategy; Compact strategy; 3D localization (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11235-021-00804-y

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