Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Analysis of low density codes and improved designs using irregular graphs
STOC '98 Proceedings of the thirtieth annual ACM symposium on Theory of computing
High-level software energy macro-modeling
Proceedings of the 38th annual Design Automation Conference
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Improved low-density parity-check codes using irregular graphs
IEEE Transactions on Information Theory
The capacity of low-density parity-check codes under message-passing decoding
IEEE Transactions on Information Theory
Efficient encoding of low-density parity-check codes
IEEE Transactions on Information Theory
Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks
IEEE Journal on Selected Areas in Communications
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Energy efficient data transmission is one of the key factors for energy constrained wireless sensor network (WSN). Cooperative communication explores the energy efficient wireless communication schemes between multiple sensors and data gathering node (DGN). In this paper, an energy efficient cooperative MIMO technique is proposed considering low density parity check (LDPC) codes. The result shows that the proposed cooperative communication outperforms SISO transmission considering the error correction code. Bit error rate (BER) analysis is also performed. In this work, it is shown that the lower encoding rate offers better error characteristics for same signal to noise ratio (SNR)