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This paper describe various energy resourceful routing schemes for secured IoT-mobile sensor network and skeleton for clustered IoT-mobile sensor networks. The primitive design of a battery arrayed mobile wireless IoT-sensor nodes is to increase the transmission energy. The proposed work has the advantage that the communication and computation overheads are low and give better performance in terms of network lifetime, energy consumption, and intrusion detection. This paper proposes a secured energy resourceful routing protocol for security awareness in IoT-mobile wireless sensor networks. The intrusion and normal interruption are much related and it is hard to determine. A routing protocol is designed for selecting the appropriate path for data forwarding between cluster head and base station.

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Orthogonal Frequency Division Multiplexing with Offset Quadrature Amplitude Modulation (OFDM/OQAM) signal has high peak-to-average power ratio (PAPR) problem. It not only affects the distortion in High Power Amplifier (HPA) but also results in bit error ratio (BER) degradation. In this paper an improved algorithm based on Clipping and Compressed Sensing (CS) is proposed. The transmitter uses clipping to reduce the PAPR and, the receiver uses an improved inverse model, to reduce the nonlinear distortion introduced by HPA and CS cancels the signal distortion introduced by clipping. Simulation results show that the proposed method not only significantly reduces the PAPR of OFDM/OQAM signals, but also effectively improves the BER performance of the system.

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