Energy-Efficient Data Acquisition in Wireless Sensor Networks Using Compressive Sensing
To mitigate these drawbacks, we propose compressive distributed sensing using random walk (CDS(RW)), an algorithm for CS in WSNs that uses rateless coding. Our proposed algorithm is independent of routing algorithms and network topologies. CDS(RW) collects sufficient number of sensor readings while combining them together without significantly increasing the inter-communication cost. We model the CS problem with code design for a set of parallel channels which helps us to design the rateless code degree distribution. This model provides the advantage of using non-uniform and unequal error protection codes.