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Sensors 2017, 17(4), 816;

Implementation of a Cross-Layer Sensing Medium-Access Control Scheme

School of Marine Science and Technology, Tianjin University, Tianjin 300072, China
School of Electrical Automation and Information Engineering, Tianjin University, Tianjin 300072, China
Author to whom correspondence should be addressed.
Academic Editor: Alessandro Bogliolo
Received: 24 February 2017 / Revised: 1 April 2017 / Accepted: 5 April 2017 / Published: 10 April 2017
(This article belongs to the Section Sensor Networks)
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In this paper, compressed sensing (CS) theory is utilized in a medium-access control (MAC) scheme for wireless sensor networks (WSNs). We propose a new, cross-layer compressed sensing medium-access control (CL CS-MAC) scheme, combining the physical layer and data link layer, where the wireless transmission in physical layer is considered as a compress process of requested packets in a data link layer according to compressed sensing (CS) theory. We first introduced using compressive complex requests to identify the exact active sensor nodes, which makes the scheme more efficient. Moreover, because the reconstruction process is executed in a complex field of a physical layer, where no bit and frame synchronizations are needed, the asynchronous and random requests scheme can be implemented without synchronization payload. We set up a testbed based on software-defined radio (SDR) to implement the proposed CL CS-MAC scheme practically and to demonstrate the validation. For large-scale WSNs, the simulation results show that the proposed CL CS-MAC scheme provides higher throughput and robustness than the carrier sense multiple access (CSMA) and compressed sensing medium-access control (CS-MAC) schemes. View Full-Text
Keywords: cross-layer; compressed sensing; medium-access control; wireless sensor networks cross-layer; compressed sensing; medium-access control; wireless sensor networks

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Su, Y.; Fu, X.; Han, G.; Xu, N.; Jin, Z. Implementation of a Cross-Layer Sensing Medium-Access Control Scheme. Sensors 2017, 17, 816.

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