A framework for energy consumption based design space exploration for wireless sensor nodes
Proceedings of the 13th international symposium on Low power electronics and design
Error control in wireless sensor networks: a cross layer analysis
IEEE/ACM Transactions on Networking (TON)
Energy conservation in clustered wireless sensor networks
International Journal of Sensor Networks
Towards an optimal reed solomon codes selection for sensor networks: a study case using TmoteSky
Proceedings of the 6th ACM symposium on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
A framework for energy-consumption-based design space exploration for wireless sensor nodes
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
IEEE Transactions on Wireless Communications
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
An energy-efficient clustered distributed coding for large-scale wireless sensor networks
The Journal of Supercomputing
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In wireless sensor networks, the data transmitted from the sensor nodes are vulnerable to corruption by errors induced by noisy channels and other factors. Hence it is necessary to provide a proper error control scheme to reduce the bit error rate (BER). Due to the stringent energy constraint in sensor networks, it is vital to use energy efficient error control scheme. In this paper, we focus our study on the performance analysis of various error control codes in terms of their BER performance and power consumption on different platforms. In detail, error control codes with different constraints are implemented and simulated using VHDL. Implementation on FPGA and ASIC design is carried out and the energy consumption is measured. The error control performance of these codes is evaluated in terms of Bit Error Rate (BER) by transmitting randomly generated data through a Gaussian channel. Based on the study and comparison of the three different error control codes, we identify that binary-BCH codes with ASIC implementation are best suitable for wireless sensor networks.