Abstract
In wireless sensor networks, sensor nodes are deployed to collect data and deliver the sensed information to a base station in a wireless manner. Due to the broadcast nature of wireless sensor communications, relay-sensor-based secure transmission remains a challenging issue. This article proposes a joint cooperative beamforming and jamming scheme in the relay wireless sensor networks, where the switching strategy from cooperative beamforming to cooperative jamming is applied to weaken the signal-to-interference-plus-noise ratio of the eavesdropper when the decoding threshold is not triggered. In particular, based on Charnes–Cooper transformation and S-procedure, semi-definite programming is constructed to solve the robust cooperative beamforming and jamming with a low implementation complexity, respectively. Additionally, we adopt the global power constraints in semi-definite programming to take full exploitation of the power at relay sensor. Finally, simulation results demonstrate the superiority of the proposed scheme in comparison with the traditional decode-and-forward robust scheme and the non-robust scheme.
Highlights
Wireless sensor networks (WSNs) have been envisioned as one of the most important research areas due to its tremendous potentials in civilian and defense-related applications such as vehicular tracking, military surveillance, environmental monitoring, biomedical observation, and other fields.[1,2] Generally speaking, typical WSNs are composed of low-cost and low-power homogenous or heterogeneous sensor nodes, which capacitate sensing, simple computations, and short-range wireless communications
We model the uncertainty of eavesdropper’s CSI (ECSI) by a bounded region and model the channel uncertainty with the worst-case condition[28] as follows knowledge, our proposed worst-case-based robust optimization scheme that incorporates global power constraints into relay switching scheme has not been addressed in the open literatures
The above strategy is usually divided into two cases
Summary
Wireless sensor networks (WSNs) have been envisioned as one of the most important research areas due to its tremendous potentials in civilian and defense-related applications such as vehicular tracking, military surveillance, environmental monitoring, biomedical observation, and other fields.[1,2] Generally speaking, typical WSNs are composed of low-cost and low-power homogenous or heterogeneous sensor nodes, which capacitate sensing, simple computations, and short-range wireless communications. Keywords Secure transmission, beamforming, cooperative jamming, global power constraint, Charnes–Cooper transformation
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