The incoming Internet of Things revolution requires the adoption of innovative paradigms for the design of low-power ubiquitous sensor nodes. This can be achieved by exploiting Compressed Sensing (CS), that is a recently introduced approach capable of simultaneously sampling and compressing an input signal with a limited amount of resources. While the underlying basic theory is well developed, in recent years we have seen a flourishing of CS techniques capable of exploiting some additional priors on the input signal to improve performance. In this paper, we propose a survey and a comparison of the most promising ones. We use a classification mechanism based on which prior is used and which processing block is modified with respect to the standard CS.
Resource Redistribution in Internet of Things applications by Compressed Sensing: a Survey / Marchioni, A; Pimentel-Romero, CH; Pareschi, F; Mangia, M; Rovatti, R; Setti, G. - In: IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS PROCEEDINGS. - ISSN 0271-4302. - ELETTRONICO. - (2018), pp. 1-5. (Intervento presentato al convegno 2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 tenutosi a ita nel 2018) [10.1109/ISCAS.2018.8351891].
Resource Redistribution in Internet of Things applications by Compressed Sensing: a Survey
Marchioni, A;Mangia, M;Rovatti, R;
2018
Abstract
The incoming Internet of Things revolution requires the adoption of innovative paradigms for the design of low-power ubiquitous sensor nodes. This can be achieved by exploiting Compressed Sensing (CS), that is a recently introduced approach capable of simultaneously sampling and compressing an input signal with a limited amount of resources. While the underlying basic theory is well developed, in recent years we have seen a flourishing of CS techniques capable of exploiting some additional priors on the input signal to improve performance. In this paper, we propose a survey and a comparison of the most promising ones. We use a classification mechanism based on which prior is used and which processing block is modified with respect to the standard CS.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.