Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Retransmission based schemes are not suitable for energy constrained wireless sensor networks. Hence, there is an interest in including parity bits in each packet for error control. From an information-theoretic perspective the most efficient usage of network capacity can be achieved by performing full encoding/decoding at each node and using a variable rate in accordance with the link-quality. Hover, such an approach represents a major burden on por-constrained sensors. ,  propose a more practical approach that is based on optimally distributing iterative channel decoding over sensor networks. In such a paradigm, the guarantee with which the base station, or  collector , gets the data from a sensor is a function of the processing within the intermediate nodes beten source and destination (in-network processing). There are two extreme cases: a) Complete channel decoding at each hop and b) decoding only at the final destination. ,  present a novel scheme in which intermediate nodes conduct partial decoding of LDPC coded packets. In this scheme each node is assigned some number of decoding iterations. The relay node conducts LPDC decoding for that number of iterations and forwards the packet, without ensuring a complete error correction.  show that such partial processing is sufficient to improve the end-to-end reliability significantly. Additionally,  show that it is feasible to tradeoff complexity/energy usage with distortion/reliability by varying the assignment of number of iterations. Finally,  present a low-complexity dynamic programming algorithm that optimally assigns iterations within the network to facilitate operation along an optimal  energy-distortion  curve.
['S. Bin Qaisar', 'Shirish S. Karande', 'Kiran Misra', 'Hayder Radha']
I am writing a research paper on a idea Optimally Mapping an Iterative Channel Decoding Algorithm to a Wireless Sensor Network
[{"from": "human", "value": "I am writing a research paper on a idea Optimally Mapping an Iterative Channel Decoding Algorithm to a Wireless Sensor Network"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Retransmission based schemes are not suitable for energy constrained wireless sensor networks. Hence, there is an interest in including parity bits in each packet for error control. From an information-theoretic perspective the most efficient usage of network capacity can be achieved by performing full encoding/decoding at each node and using a variable rate in accordance with the link-quality. Hover, such an approach represents a major burden on por-constrained sensors. ,  propose a more practical approach that is based on optimally distributing iterative channel decoding over sensor networks. In such a paradigm, the guarantee with which the base station, or  collector , gets the data from a sensor is a function of the processing within the intermediate nodes beten source and destination (in-network processing). There are two extreme cases: a) Complete channel decoding at each hop and b) decoding only at the final destination. ,  present a novel scheme in which intermediate nodes conduct partial decoding of LDPC coded packets. In this scheme each node is assigned some number of decoding iterations. The relay node conducts LPDC decoding for that number of iterations and forwards the packet, without ensuring a complete error correction.  show that such partial processing is sufficient to improve the end-to-end reliability significantly. Additionally,  show that it is feasible to tradeoff complexity/energy usage with distortion/reliability by varying the assignment of number of iterations. Finally,  present a low-complexity dynamic programming algorithm that optimally assigns iterations within the network to facilitate operation along an optimal  energy-distortion  curve."}]