• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

RSNT-cFastICA for Complex-Valued Noncircular Signals in Wireless Sensor Networks


Abstract

This paper presents an architecture for wireless sensor networks (WSNs) with blind source separation (BSS) applied to retrieve the received mixing signals of the sink nodes first. The little-to-no need of prior knowledge about the source signals of the sink nodes in the BSS method is obviously advantageous for WSNs. The optimization problem of the BSS of multiple independent source signals with complex and noncircular distributions from observed sensor nodes is considered and addressed. This paper applies Castella’s reference-based scheme to Novey’s negentropy-based algorithms, and then proposes a novel fast fixed-point (FastICA) algorithm, defined as the reference-signal negentropy complex FastICA (RSNT-cFastICA) for complex-valued noncircular-distribution source signals. The proposed method for the sink nodes is substantially more efficient than Novey’s quasi-Newton algorithm in terms of computational speed under large numbers of samples, can effectively improve the power consumption effeciency of the sink nodes, and is significantly beneficial for WSNs and wireless communication networks (WCNs). The effectiveness and performance of the proposed method are validated and compared with three related BSS algorithms through theoretical analysis and simulations.


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Cite this article

[IEEE Style]
C. Deng, Y. Wei, Y. Shen, W. Zhao and H. Li, "RSNT-cFastICA for Complex-Valued Noncircular Signals in Wireless Sensor Networks," KSII Transactions on Internet and Information Systems, vol. 12, no. 10, pp. 4814-4834, 2018. DOI: 10.3837/tiis.2018.10.011.

[ACM Style]
Changliang Deng, Yimin Wei, Yuehong Shen, Wei Zhao, and Hongjun Li. 2018. RSNT-cFastICA for Complex-Valued Noncircular Signals in Wireless Sensor Networks. KSII Transactions on Internet and Information Systems, 12, 10, (2018), 4814-4834. DOI: 10.3837/tiis.2018.10.011.