Wireless sensor network (WSN) is an emerging technology that aims to offer innovative capabilities. However, the sensor nodes present important limitations, mainly in terms of energy which depends on the lifespan of battery. This is why so many works focused on of the energy consumption. In this paper, we are interested especially in heterogeneous environment taking into account the communication and data routing algorithms. We present a new protocol called Hybrid Energy Efficient (H2E) Protocol for Heterogonous WSNs, which is an improvement of HEEP protocol [1] making it more scalable and supporting heterogeneity of nodes. H2E protocol is implemented using TinyOS embedded system. Simulations under Tossim are performed to evaluate the performances of the proposed protocol.

An intelligent diagnostic method based on 3-D plot continuous wavelet transform (3-D plot CWT) and fuzzy inference system is presented to investigate the detectability and classification of rotor broken bars faults in induction machine (IM) and to overcome the limitation of classical Fourier Transform (FT). This approach is successfully used with Motor Current Signature Analysis (MCSA) and suitable developed model of IM in healthy and faulty mode using Matlab environment. As first step we performed new results using 3-D plot CWT to extract the discriminating features. The features extracted from the wavelet transformed signal are the second most predominant frequency, the time range at which it occurs and the corresponding wavelet coefficients .Then as second and last step a fuzzy Inference system is designed and implemented using Matlab software with these three features extracted from the wavelet transformed signal as inputs and generates an output that classifies the fault and no