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Random Access Compressed Sensing for Energy-Efficient Underwater Sensor Networks
Inspired by the theory of compressed sensing and employing random channel access, we propose a distributed energy-efficient sensor network scheme denoted by Random Access Compressed Sensing (RACS).Expand
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Quasi-Orthogonal Space-Frequency and Space-Time-Frequency Block Codes for MIMO OFDM Channels
In this paper, we propose a novel class of Space-Frequency and Space-Time-Frequency block codes based on Quasi-Orthogonal designs, over a frequency selective Rayleigh fading channel. The proposedExpand
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Space-time-state block coded mimo communication systems using reconfigurable antennas
Reconfigurable antennas offer a promising solution to the problem of space limitation in high-performance wireless communication over handset devices. In this paper, we propose a novel transmissionExpand
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Random Access Compressed Sensing over Fading and Noisy Communication Channels
Random Access Compressed Sensing (RACS) is an efficient method for data gathering from a network of distributed sensors with limited resources. RACS relies on integrating random sensing with theExpand
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Collision Tolerant and Collision Free Packet Scheduling for Underwater Acoustic Localization
This article considers the joint problem of packet scheduling and self-localization in an underwater acoustic sensor network with randomly distributed nodes. In terms of packet scheduling, our goalExpand
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Quasi-Orthogonal Space-Frequency Block Codes for MIMO OFDM Channels
In this paper, we propose a novel class of Space-Frequency and Space-Time-Frequency block codes based on Quasi-Orthogonal designs, over a frequency selective Rayleigh fading channel. The proposedExpand
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Random access sensor networks: Field reconstruction from incomplete data
We address efficient data gathering from a network of distributed sensors deployed in a challenging field environment with limited power and bandwidth. Utilizing the low-rank property of the sensingExpand
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Random Access Compressed Sensing over Fading and Noisy Communication Channels
Random Access Compressed Sensing (RACS) is an efficient method for data gathering from a network of distributed sensors with limited resources. RACS relies on integrating random sensing with theExpand
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A game theoretic study of energy efficient cooperative wireless networks
  • D. Brown, F. Fazel
  • Computer Science
  • Journal of Communications and Networks
  • 1 June 2011
In wireless networks, it is well-known that intermediate nodes can be used as cooperative relays to reduce the transmission energy required to reliably deliver a message to an intended destination.Expand
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Compressed sensing in random access networks with applications to underwater monitoring
Abstract For networks that are deployed for long-term monitoring of environmental phenomena, it is of crucial importance to design an efficient data gathering scheme that prolongs the life-time ofExpand
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