Principles of CMOS VLSI design: a systems perspective
Principles of CMOS VLSI design: a systems perspective
Digital communications: fundamentals and applications
Digital communications: fundamentals and applications
Low power error control for wireless links
MobiCom '97 Proceedings of the 3rd annual ACM/IEEE international conference on Mobile computing and networking
Cumulative Binomial Probabilities
Journal of the ACM (JACM)
Modulation scaling for Energy Aware Communication Systems
ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
Energy efficient Modulation and MAC for Asymmetric RF Microsensor Systems
ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
Design Considerations for Energy-Efficient Radios in Wireless Microsensor Networks
Journal of VLSI Signal Processing Systems
Deploying a Wireless Sensor Network on an Active Volcano
IEEE Internet Computing
Performance Analysis of Error Control Codes for Wireless Sensor Networks
ITNG '07 Proceedings of the International Conference on Information Technology
Error control coding in low-power wireless sensor networks: when is ECC energy-efficient?
EURASIP Journal on Wireless Communications and Networking
A framework for energy-consumption-based design space exploration for wireless sensor nodes
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Energy-constrained modulation optimization
IEEE Transactions on Wireless Communications
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
A hybrid model for accurate energy analysis of WSN nodes
EURASIP Journal on Embedded Systems
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Optimizing energy consumption is a key objective in designing wireless sensor nodes. It has been shown earlier [1] that the node energy is strongly influenced by the modulation and the error correcting code (ECC) used. The utility of using ECC from an energy perspective is determined by the energy saving due to the ECC coding gain vis-à-vis the energy overhead of "redundant" bits and of encoding/decoding computation. Furthermore, the node energy varies with the change in error-correcting capability and code word length of a particular ECC as well as the modulation constellation size. The ECC coding gain is influenced by the constellation size. In this paper, the node energy variations with ECC and modulation parameters are analyzed for an energy optimal node design for the nodes operating in the additive white Gaussian noise channel. Based on this analysis, we compute the per information bit node energy and this is used to select an "optimal" ECC and modulation scheme pair. Our results show that the energy optimal ECC-modulation pair selected for some specific operating conditions could save as much as 50% energy. In nutshell, our work is targeted towards reducing the search space and finding an energy optimal ECC-modulation pair for the given environment and application.