caa a22 4500 606190090 CHVBK 20210128100853.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s10776-015-0284-x doi (NATIONALLICENCE)springer-10.1007/s10776-015-0284-x Evaluation of Energy Efficiency-Reconstruction Error Trade-Off in the Co-design of Compressive Sensing Techniques for Wireless Lossy Sensor Networks [Elektronische Daten] [Antonio Frezzetti, Sabato Manfredi] 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. Springer Science+Business Media New York, 2015 Compressive Sensing nationallicence Wireless Sensor Networks nationallicence Monitoring application nationallicence Network lifetime nationallicence Performance evaluation nationallicence Frezzetti Antonio Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Naples, Italy aut Manfredi Sabato Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Naples, Italy aut International Journal of Wireless Information Networks Springer US; http://www.springer-ny.com 22/4(2015-12-01), 386-398 1068-9605 22:4<386 2015 22 10776 https://doi.org/10.1007/s10776-015-0284-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10776-015-0284-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Frezzetti Antonio Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Naples, Italy aut NATIONALLICENCE 700 1- Manfredi Sabato Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Naples, Italy aut NATIONALLICENCE 773 0- International Journal of Wireless Information Networks Springer US; http://www.springer-ny.com 22/4(2015-12-01), 386-398 1068-9605 22:4<386 2015 22 10776