A Spectrum-Efficient Data Modulation Scheme for Internet-of-Things Applications

With the proliferation of wireless sensor networks, the high-density of sensing data is imposing a significant challenge on spectrum management to share the existing bandwidth. In this paper, a spectrum efficient data encoding scheme is proposed using a set of analog orthogonal modified Hermite pulses. The novelty of this approach is to use an analog pulse-sequence based data encoding scheme, that reduces multi-user interference and supports more data by sharing the same network bandwidth. The serial-parallel data transmission techniques are proposed using a set of distinct pulse sequences instead of a single pulse. The analog pulse set generation and the pulse encoding scheme is analyzed through MATLAB simulation package. Simulation results show that the proposed data encoding scheme will provide 6-times improvement in data rate for 4 distinct orthogonal pulses. The proposed scheme will be a promising feature for high density larger array sensor signal monitoring in a wireless sensor network.