Publish in OALib Journal
APC: Only $99
(Flooding) is considered as a simple routing protocol for opportunistic
networks where the participants attempt to transmit whatever information they
have to everyone who does not already have that information. However, it is
plagued with disadvantages of resource scarcity as it exerts stress on
available bandwidth as well as storage capacity of the devices in the network.
Cognitive radio (CR) is one of the emerging technologies that can improve the
bandwidth utilization by smart allocation of spectrum radio bands. Ideally
speaking, a spectrum-aware cognitive radio is able to sense the local spectrum
usage and adapt its own radio parameters accordingly. In this study, we have
performed experiments to analyze the gains achieved by flooding protocol using
cognitive radios of varying capabilities in opportunistic networks. We have
performed experiments on three opportunistic networks obtained from real-life
traces from different environments and presented results showing variance in
delivery efficiency as well as cost incurred on those scenarios. Our results
show that performance of flooding can be significantly improved using CRs in
bandwidth-scarce environments; however, the improvement is not uniform with the
increase in a number of available bands.
Model based implementation of a novel
nonlinear adaptive filter for extraction of time varying sinusoids using Xilinx
system generator has been presented in this work. The practicality of this
filter model along with its performance makes it one of the foremost candidates
to be applied on nonlinear systems for the purpose of estimation and extraction
using reconfigurable hardware like FPGA. A design implementation and
verification approach has been discussed for more efficient implementation.
Timing and power analysis has been performed and the architecture has been
optimized for speed and power to perform at higher frequency when integrated on
a Xilinx FPGA. The proposed hardware oriented architecture has been
successfully implemented and simulated. The simulation results to track a noisy
input have also been shown to demonstrate the exceptional performance of the
hardware based architecture developed.