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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Frezzetti, A. Manfredi, S. |
| Copyright Year | 2001 |
| Abstract | Random sampling compressive sensing (RSCS) is a prominent compression algorithm suitable for wireless sensor network as it can significantly reduce the number of samples required for signal reconstruction. This improves the network lifetime, but can introduce uncertainty in the signal reconstruction. In this paper, we propose a two-layer controller that ensures efficient signal reconstruction (i.e., low level of reconstruction error) and high network lifetime. The proposed controller is composed of a global controller, developed at the fusion center layer, and two local controllers, implemented at each node layer. The former steers the RSCS reconstruction error to a desired value, while the latter are implemented to reduce the energy consumption of each node. A performance evaluation of the proposed scheme is carried out in terms of reconstruction error regulation and network lifetime. Simulation results show the effectiveness of the proposed scheme compared with two main strategies existing in the literature. |
| Sponsorship | IEEE Sensors Council |
| Starting Page | 2172 |
| Ending Page | 2179 |
| Page Count | 8 |
| File Size | 8658331 |
| File Format | |
| ISSN | 1530437X |
| Volume Number | 16 |
| Issue Number | 7 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2016-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless sensor networks Energy consumption Signal reconstruction Sensors Compressed sensing Monitoring Batteries Performance evaluation Wireless Sensor Networks Monitoring application Compressive Sensing Random Sampling Compressive Sensing Network Lifetime |
| Content Type | Text |
| Resource Type | Article |
| Subject | Instrumentation Electrical and Electronic Engineering |
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