pSense: An efficient and practical analog-to-information platform using COTS devices

A challenge in wireless sensing is to reduce power consumption during data transmission. Various methods aim at compressing amounts of data after sampling, which require additional computation energy or hardware. In this paper, pSense, a low complexity commercial off-the-shelf based (COTS-based) analog-to-information converter (AIC) platform is presented to minimize power consumption. A periodical pseudo-random down-sampling algorithm (PPRS) is employed to reduce energy consumption by controlling sampling numbers and features high scalability. Results show pSense can reconstruct signals within acceptable low error levels and having low energy consumptions.