To improve interference robustness of wireless communication, spread spectrum techniques are often used. We use the chirp spreading technique along with FSK and PSK binary modulation schemes to obtain interference robust radio communication. The performance of chirped-FSK and chirped-PSK modulation through a white gaussian noise channel is simulated assuming a synchronized clock between transmitter and the receiver. We analyzed and simulated the error probability (BER) of the overall system in the presence of partial band of interference in the channel. The simulated BER is close to the estimated BER and they prove the superior performance of chirp-based modulation in the presence of interference.
To reduce the energy consumption in wireless sensor network transceivers, we propose an approach which combines two tradeoffs. The first tradeoff is between the receiver sensitivity and transmitter output power. The second one is the duty cycle and data rate of the transceiver. The combined approach gives us the optimum choice of noise figure and data rate for a given application and transceiver architecture. Considering a typical transceiver architecture and perfectly synchronized system, we show that the energy consumption can indeed be reduced with this approach compared to choosing either data rate or noise figure arbitrarily. Moreover, in case of a wakeup receiver architecture and slot based MAC protocol, applying this method, we show that there is a different combination of optimum data rate and noise figure value for the wakeup receivers to minimize the wakeup energy.Index terms-Energy, wireless sensor network, noise figure, data rate, duty-cycled radio.I.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with đŸ’™ for researchers
Part of the Research Solutions Family.