Evaluation of Energy Efficiency-Reconstruction Error Trade-Off in the Co-design of Compressive Sensing Techniques for Wireless Lossy Sensor Networks

摘要

In the recent years, the technological improvements on wireless sensor computational capability and versatility have caused a massive use of battery-supplied Wireless Sensor Network (WSN) in many different monitoring applications. The most relevant factors of reliability of such systems are related to the energetic autonomy and the accuracy of the sampled data delivered to the Fusion Center. These two factors are usually in trade off because a more reliable acquisition system requires more energy consumption and vice-versa. In this paper, we present a tool for the co-design of Compressive Sensing techniques to get the desired performance in terms of energy efficiency and reconstruction error. Preliminarily, we formulate a WSN model taking into account both node energy consumption and the traffic model. The effects of packet collision phenomena (that typically affect wireless communication) are also added to the traffic model. The provided WSN model is used to support a tool for the software co-design of parameters that are related to the compression method in order to fulfil given performance specifications on energetic autonomy or signal reconstruction error. To show the effectiveness of the proposed model and the feasibility of the co-design approach, the model is particularized to representative schemes of Compressive Sensing implemented over the network in the presence and in absence of packet loss. An example of software co-design aimed to improve both network autonomy and signal reconstruction error of the considered Compressive Sensing schemes is presented.