Deepak Nagaria

Summary: In this paper, a link is proposed for wireless body area sensor networks (WBASNs) for the transmission of electrocardiogram (ECG) signal. When the quantity of signal is very high, then it is beneficial that signal should be compressed before transmission. In that situation, the signal compression and error control schemes played an important role in the designing of link for WBASNs. In case of biological sensor network, it is very important that node consumed less power in transmission because the replacement of nodes is a very complex surgical procedure in many medical situations. A compressed sensing concept is introduced here. The main aspect of this paper is to present transmission strategy that provides fast and accurate transmission of ECG signals. In this the smart sensor nodes are utilized. These nodes having sensing, transformation and transmission capability. The nodes sense the ECG signals, and these signal are compressed by Walsh–Hadamard transform method. This compressed signal is transmitted to the module outside the human body. In this module, various error control coding and modulation operations are to be performed on signals, and after that, signals are transmitted to the final destination. The compressed signal occupied less storage space, and ECC provides high data rate. In that manner, the fast transmission of ECG data becomes possible on low data rate sensor network link.

For the designing of any network, lifetime and size of the network are the most important parameters in addition to that high data rate and low bit error rate also play an important role in the designing of any sensor network. In this paper, new transmission techniques for the transmission of sensors data has been proposed for sensor networks by combining various modulation and coding techniques into the network transmission. The proposed technique is used to improve the Bit Error Rate performance of the wireless sensor network, in most of the wireless sensor networks,bits are converted into packets and these packets are transmitted from source to destination during that transmission the quality of physical layer is determined by the Bit Error Rate (BER) and the Packet Delivery Rate (PDR). The physical layer deals with transmission of bits over wireless link the designing constraints of this layer is modulation, diversity and coding. In this paper various modulation, coding and diversity techniques are incorporated into sensor network for reducing Bit Error Rate (BER). The proposed system divides the network into two types of nodes, first one is the sensor nodes, equipped with short distance transmission capability and another one is special nodes that are equipped with modulators and coders for transmitting data over long distance. This proposed system also extended for providing the secured data transmission by the use of various error detection and correction codes.

In this paper a mixed approach for model order reduction is proposed. The proposed approach combines eigen spectrum analysis and Pade based moment matching technique for model order reduction. The denominator of the higher order system(HOS) is derived using eigen spectrum analysis whereas numerator dynamics are determined using Pade based moment matching technique which utilizes both time moment and Markov parameters. The efficiency and powerfulness of the method is evaluated in terms of a performance index which is known as integral square error(ISE). This method guarantees stability if the original system is stable.

Model order reduction (MOR) has been an emergent field of research in control theory and numerical analysis. This paper presents a Padé approximation based technique i.e. matching of both time moments and Markov parameters for order reduction of single input single output (SISO) system.