Simultaneous Wireless Information and Power Transfer in Wireless Sensor Networks with Fountain Codes

Yi, Benshun; Xiang, Mian; Yao, Weiqing; Qiu, Kang; Huang, Taiqi; Xie, Qiuying

doi:10.1109/ithings-greencom-cpscom-smartdata.2017.82

Cited by 3 publications

(2 citation statements)

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“…In addition, there are some related works integrating the SWIPT in WSNs [30][31][32][33][34][35][36][37]. Guo et al [30] applied the SWIPT technique to cooperative clustered WSN, a distributed iteration algorithm was proposed by exploiting fractional programming and dual decomposition.…”

mentioning

confidence: 99%

“…As for IoT sensor networks with a PS-enabled SWIPT technology, Chae et al [36] proposed a novel SWIPT strategy where the access point have a choice over either sending a private/common message, and a hybrid beamforming design algorithm was proposed by considering the total transmit power minimization problem. By exploiting a fountain codes in the SWIPT WSNs, Yi et al [37] proposed a new PS mechanism to adaptively divide data packets into the information data packets and the energy data packets. To the best of our knowledge, secure beamforming design to achieve secrecy capacity, particularly assuming practical power splitting (PS)-based heterogeneous wireless sensor networks (HWSN) with SWIPT transmission, has not been considered previously.…”

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confidence: 99%

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AN-Aided Secure Beamforming in Power-Splitting-Enabled SWIPT MIMO Heterogeneous Wireless Sensor Networks

Zhu

Hao

et al. 2019

Electronics

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In this paper, we investigate the physical layer security in a two-tier heterogeneous wireless sensor network (HWSN) depending on simultaneous wireless information and power transfer (SWIPT) approach for multiuser multiple-input multiple-output wiretap channels with artificial noise (AN) transmission, where a more general system framework of HWSN only includes a macrocell and a femtocell. For the sake of implementing security enhancement and green communications, the joint optimization problem of the secure beamforming vector at the macrocell and femtocell, the AN vector, and the power splitting ratio is modeled to maximize the minimal secrecy capacity of the wiretapped macrocell sensor nodes (M-SNs) while considering the fairness among multiple M-SNs. To reduce the performance loss of the rank relaxation from the SDR technique while solving the non-convex max–min program, we apply successive convex approximation (SCA) technique, first-order Taylor series expansion and sequential parametric convex approximation (SPCA) approach to transform the max–min program to a second order cone programming (SOCP) problem to iterate to a near-optimal solution. In addition, we propose a novel SCA-SPCA-based iterative algorithm while its convergence property is proved. The simulation shows that our SCA-SPCA-based method outperforms the conventional methods.

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