Yin Fuliang

A new algorithm for voice activity detection based on wavelet transform

In this paper, a new algorithm based on the wavelet transform (WT) is proposed for voice activity detection (VAD). It utilizes the difference of the spectral distribution between voice and noise. First, the algorithm performs the wavelet transform to the signal and decomposes it into subbands using the bandpass filtering feature of the WT; then it detects the voice in the signal by comparing the subband energy of the detail components between voice and noise. Computer simulation results are given to illustrate the effectiveness of the new VAD algorithm.

Depth based routing protocol using smart clustered sensor nodes in underwater WSN

The underwater wireless sensor networks have been receiving a great attention towards the ocean monitoring systems in the past couple of years. They have different characteristics comparing with the territorial WSN, including the constrained bandwidth and limited power supply. Though, more work has been completed for developing protocols and models based on the terrestrial networks. These applications can rarely be applied for the applications and the products based on the underwater wireless sensor networks. Major works have been placed on the designing of the standard protocol with considerations of the underwater communication characteristics. With the use of the sensor nodes, more energy can be saved. The proposed system is based on the process of depth based routing protocol and it will be the basic idea of the proposed paper. The depth routing protocol is adapted into the process of checking the depth of sensor nodes. The cluster based routing protocol, is used in this paper for minimizing the consumption ratio of the energy and distributing the nodes equally to all the functions. The nodes may be damaged due to high load in the current system. The main issue will be faced is, constructing a standard clustering algorithm. In this paper, the underwater wireless sensor networks context term will be clustering and it will contribute the purpose of efficient use of the energy resources. The energy that is consumed by each node will be processed with equal probability for the selection of cluster head. Based on this type of processing, the stable time period of the network will be improved in the depth base routing (DBR). The cluster depth routing protocol will be used for forwarding the packets. By using this, it will maximize the overall performance of the network. The comparison is done on the various types of protocols used in it.

Collating and Analysing State-of-the-Art Hierarchical Routing Protocols in WSN to Increase Network Lifetime and Conserve Energy

The wireless sensor network has many sensor nodes that magnetized higher terms in recent years like high energy consumption and low the network lifespan. The aim of this paper is to conserve energy and increase network lifetime. The result is based on the comparison of the state of the art routing protocols e.g. Leach, Leach-Tlch, Teen, Apteen and Adaptive Threshold. The Leach is the base for all registered routing protocols and also the main reason of comparison with state-of-the-art protocols. Leach protocol has some drawbacks in it, Thus, the Teen and the Apteen surmounts the disadvantage faced by the Leach. However, to overcome the issues present in both the protocols, the Adaptive Threshold is integrated that produce some advanced terms for improvising the energy efficiency and the lifespan of WSNs. The primary objective of this paper is to compare and distribute the routing protocol whose consumption of energy decreases with the improvement in the networks lifetime. The proposed model describes the comparison made between the routing networks. The benefits of the model are to achieve the low energy consumption by the sensor nodes that increase the networks lifetime. Chart and tables evaluate the results.

A modified crosspower spectrum phase method

The crosspower spectrum phase (CSP) is a well known time delay estimation method. The relatively precise time difference of arrival (TDOA) can be achieved by using it in the presence of weak noise and medium reverberation. The performance degrades dramatically in the case of low SNR and strong reverberation. A modified CSP (M/spl I.bar/CSP) method is proposed in order to improve the performance of CSP. The weighting function of M/spl I.bar/CSP changes with the variation of SNR, and the TDOA estimation is accomplished via a weighted of multi-frames. The computer simulation results indicate that the proposed method can give satisfying value of TDOA even in the case of low SNR and strong reverberation.