A two-stage DPCM scheme for wireless sensor networks

We implement a two-stage DPCM coding scheme for wireless sensor networks. The scheme consists of temporal and spatial stages that compress data by making predictions based on samples from the past and helping sensors. It continuously monitors the additional gain provided by samples from other sensors, and therefore can be combined with data-centric routing algorithms for joint compression/routing optimization. Backward /spl epsi/-NLMS adaptation is used to better track changing environments and avoid coefficient transmissions. Several simulations are conducted to demonstrate the effectiveness of this coding scheme.