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The interconnection of smart home devices plays a key role in future smart grid energy systems. It is reasonable to apply wireless technologies for smart home networks, as they can be easily retrofitted in existing homes. Due to multipath propagation in indoor environments, wireless technologies have to cope with frequency selective fading. Thus, this paper presents an enhanced frequency hopping mechanism for reliable interconnection of low power smart home devices. The evaluations are based on the Bluetooth Low Energy standard. Different options are compared by evaluating the indoor coverage range, the energy consumption, and the latency. [ABSTRACT FROM PUBLISHER]

The method for the reconstruction of Frequency Hopping Spread Spectrum (FHSS) signals is described in the paper. FHSS is a modulation technique employed in spread spectrum communications. Reconstruction procedure is based on the compressive sampling principle, which allows signal reconstruction using a significantly smaller number of samples than required by the Nyquist-Shannon sampling theorem. The method is applied on signals having a sparse representation in transform domain, which often appears in real applications. Reconstruction is based on the optimization algorithms using l1-norm minimization in the domain in which the signal is sparse. In addition, the joint time-frequency signal analysis is combined with a compressive sampling method, in order to compare parameters of the original and the reconstructed signal. [ABSTRACT FROM PUBLISHER]