Underwater Wireless Information Transfer with Compressive Sensing for Energy Efficiency

Acquisition of sensor data in wireless sensor networks with compressive sensing reduces the cost involved with sensing and communication. The challenge behind this work in underwater environment is exploring the fact of transfer capability of sensor nodes and underwater channel. The robustness of compressive sensing scheme in underwater environment is further augmented by recovery and transfer path. Two algorithms have been proposed. The first which uses compressive sensing at source and reconstruct using orthogonal matching pursuit at sink named as Underwater Wireless Information Transfer with Compressive sensing. Second algorithm exploits bandwidth estimation exploiting the cross traffic at intermediate forwarders for each source sensors to its associated sink named as: Underwater Wireless Information Transfer with Compressive sensing Bandwidth Measurements. Performance metrics of both protocols are interpreted through simulations.