Performance Analysis and Designing Of Layers Used In Wireless Sensor Networks

Abstract

Applying WSNs in Health Care and Multimedia Applications requires fast and reliable newlinecommunication. If packets are forwarded directly to the sink, it will lead to a poor network newlinelifetime. This thesis, resort to the physical layer design paradigm to enhance the network newlinelifetime and throughput, the robustness against the poor Bit Error Rate (BER) performance. newlineSince some applications require high data rate and minimum delay, so the research targeted newlinetowards Orthogonal Space Time Block Code (OSTBC) coding and Error Control Coding newline(ECC) based transmission approach that maximize the data rate and minimize the Bit Error newlineRate (BER), the inclusion of duty cycling based sleep/walk scheduling allow many sensor newlinenodes to sleep when they have no information for transmission. Hence, these techniques newlinesave the limited energy budget of the sensor network. newlineFor network designing lifetime and size of the network are the most newlineimportant parameters. Besides that, High Data Rate and Low BER also play an important newlinerole in sensor network design. In this work, a new approach for the transmission of data newlineaggregated by different sensors has been proposed by combining various modulations and newlinecoding techniques into the network transmission. These Techniques improve BER newlineperformance and this improvement automatically affects in the Packet Delivery Rate newline(PDR). The Physical Layer deals with the transmission of bits over a wireless link the newlinedesigning constraints of this layer are modulation, diversity, and coding by the newlineincorporation of various modulation, coding, and diversity techniques the BER of the newlinesensor network is reduced. newlineThis work is extended in the Physical Link design plan for Wireless Body newlineArea Sensor Networks (WBASNs) for the fast and accurate transmission of ECG Signals. newlineThe sensor nodes sense the heart signals and after sensing the signal is compressed by newlineWalsh -Hadamard transform method, after compression, modulation, and various ECC newlineprocedures the signals retransmitted to the destination. newlineThe Proposed Link for biological sensors