Abstract
In wireless sensor networks, data transmitted over wireless channels can get corrupted or lost due to channel noises and interferences. Error control coding is a technique that enables reliable delivery of digital data over unreliable communication channels. By adding redundancy to the transmitted data, error control codes allow the decoder to recover the original data based on partial data information received. The codes allow the receiver to recover errors or data loss without retransmission, thus making them suitable for applications where retransmissions are costly or impossible. Due to the stringent energy constraint of battery-powered sensor nodes, it is vital to use the energy-efficient error control scheme. In this paper, we evaluate the performance of Reed-Solomon (RS) codes with the objective to optimize their design factors, leading to optimal bit error performance over both Additive White Gaussian Noise (AWGN) channels and Rayleigh fading channels.
Highlights
Data transmitted over wireless sensor networks (WSNs) are vulnerable to errors and corruption due to channel noises, interferences, and malicious attacks (Zonouz et al, 2015; Wang et al, 2017)
Due to the energy-constraint of sensor nodes, it is crucial that we evaluate the performance of RS codes and choose the ones that are suitable for low-power WSNs
We study the impact of RS parameters n, k, t, and R on the error performance of RS codes with the goal of optimizing their use in the WSN applications
Summary
Data transmitted over wireless sensor networks (WSNs) are vulnerable to errors and corruption due to channel noises, interferences, and malicious attacks (Zonouz et al, 2015; Wang et al, 2017). Due to the stringent energy constraint of battery-powered sensor nodes, it is vital to use energy-efficient error control schemes to efficiently recover the lost or erroneous information (original or encrypted) to save the retransmission overhead (Ma et al, 2006; Ma et al, 2007; Ma et al, 2009; Ma et al, 2012). Due to the energy-constraint of sensor nodes, it is crucial that we evaluate the performance of RS codes and choose the ones that are suitable for low-power WSNs. In this paper, we evaluate the error performance of RS codes with an emphasis on the optimization of design factors for RS codes to achieve better bit error performance over both Additive White Gaussian Noise (AWGN) channels and Rayleigh fading channels (Farzamnia et al, 2018)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
