Exploiting Temporal Redundancy For Efficient Data Transmission Over Wireless Sensor Networks

Distributed joint source-channel coding technique is finding its application in the ever evolving world of telecommunication, especially in the sensor network paradigm. The unique characteristics of the sensor networks are giving birth to new signal processing techniques and shifting the processing burden from the transmitter to the receiver side. The nodes of sensor networks, when deployed over particular area for specific observations, often exhibit spatial as well as temporal correlation in their observation. In this paper we presented a new technique to efficiently transmit observed data to the sink node. The technique makes it feasible to transmit data over the sensor web reliably and cost efficiently. We have achieved this goal by utilizing the distributed source coding theory and the cooperative communication. We have applied symmetric Slepain-Wolf compression and have used regular LDPC code with code rate 1/2. The simulation results show that the scheme is efficient as well as reliable.