2016 IEEE Winter Academy on Internet of Things

Compressive Sensing – Applications to Energy Efficient IoT Sensor Networks

Dr. Venkat Natarajan, Apoorv Vyas, India Technology India Pvt. Ltd., Bangalore, India

Explosion in sensor technologies & ubiquitous sensing in IoT applications has resulted in massive amounts of data being generated that need to be effectively managed. Compressive Sensing is an emerging technology that promises to efficiently manage the data deluge by advanced signal processing theory that directly seeks out the information content of a signal avoiding any redundant measurements whatsoever. Compressive Sensing is considered to be highly promising for a wide range of IoT applications such as smart cities, smart wearables, wireless sensing, communication networks, imaging etc. The tutorial includes the following topics: (i) Theory, formulations & mechanics of Compressive Sensing (ii) Practical embodiments of Compressive Sensing in smart wearables applications (e.g. smartwatch) on a body sensor network to minimize MCU power consumption and radio throughput to increase node battery life (iii) Application of Compressive Sensing for energy-efficient data aggregation from spatially-distributed sensor nodes for different IoT WSN topologies including joint optimization of sensing and routing layers for improved network power-efficiencies.