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Telecommunication Systems
Erschienen in: Telecommunication Systems 2/2021

02.06.2021

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

verfasst von: Siqi Zhang, Fang Fan, Wei Li, Shu-Chuan Chu, Jeng-Shyang Pan

Erschienen in: Telecommunication Systems | Ausgabe 2/2021

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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.
Vorheriger Artikel Anti-interference distributed energy-efficient for multi-carrier millimeter-wave ultra-dense networks
Nächster Artikel A new hybrid CDMA–NOMA scheme with power allocation and user clustering for capacity improvement

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Metadaten
Titel
A parallel compact sine cosine algorithm for TDOA localization of wireless sensor network
verfasst von
Siqi Zhang
Fang Fan
Wei Li
Shu-Chuan Chu
Jeng-Shyang Pan
Publikationsdatum
02.06.2021
Verlag
Springer US
Erschienen in
Telecommunication Systems / Ausgabe 2/2021
Print ISSN: 1018-4864
Elektronische ISSN: 1572-9451
DOI
https://doi.org/10.1007/s11235-021-00804-y

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