IEEE Transactions on Very Large Scale Integration (VLSI) Systems · 2011 · 54 citations · 33 references
Overall Energy ConsumptionWireless CommunicationsElectrical EngineeringDistributed Source CodingEngineeringWireless Sensor SystemEnergy EfficiencyError Correction CodeComputer EngineeringIterative DecodingComputer ArchitectureModulation CodingLookup Table-log-bcjrComputer SciencePower-efficient ComputingSignal ProcessingTurbo CodesEnergy-efficient Networking
Turbo codes have recently been considered for energy-constrained wireless communication applications, since they facilitate a low transmission energy consumption. However, in order to reduce the overall energy consumption, lookup table-log-BCJR (LUT-Log-BCJR) architectures having a low processing energy consumption are required. In this paper, we decompose the LUT-Log-BCJR architecture into its most fundamental add compare select (ACS) operations and perform them using a novel low-complexity ACS unit. We demonstrate that our architecture employs an order of magnitude fewer gates than the most recent LUT-Log-BCJR architectures, facilitating a 71% energy consumption reduction. Compared to state-of-the-art maximum logarithmic Bahl-Cocke-Jelinek-Raviv implementations, our approach facilitates a 10% reduction in the overall energy consumption at ranges above 58 m.
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Wireless sensor networks: a survey
Ian F. Akyildiz, Weilian Su, Yogesh Sankarasubramaniam · Computer Networks · 2002 · 17.3K citations
Wireless integrated network sensors
Gregory J. Pottie, William J. Kaiser · Communications of the ACM · 2000 · 3.2K citations · Full text