A performance comparison between DSSS, M-FSK, and frequency-division multiplexing in underwater acoustic channels

Walree, Paul van; Buen, Helge; Otnes, Roald

doi:10.1109/ucomms.2014.7017133

Cited by 13 publications

(5 citation statements)

References 13 publications

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“…The remainder of this section gives a brief description of the schemes, starting with the parts that they have in common, and continuing with details of the parts that differ. Note that some signal parameters were changed after the study described in [28].…”

Section: The Physical Layersmentioning

confidence: 99%

Underwater Acoustic Network Simulation With Lookup Tables From Physical-Layer Replay

Otnes

Walree

Buen

et al. 2015

IEEE J. Oceanic Eng.

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An underwater acoustic network simulation methodology is presented that is based on lookup tables (LUTs) with physical-layer error ratios. These LUTs are prepared with a validated replay channel simulator, which is here driven by channel measurements from the Kauai Acomms MURI 2011 (KAM11) experiment. Three physical-layer candidates are considered: a coherent singlecarrier scheme, a coherent multicarrier scheme, and an incoherent scheme. The three modulation schemes are operated at a fixed message size and at four different data rates. Low rates are more robust to noise, interference, and channel dispersion, but also more prone to collisions in a network with busy traffic, because the packets are longer. Error statistics for colliding packets have been measured and are incorporated in the network simulator as collision LUTs. Example simulations are presented for a reduced flooding protocol with or without retransmissions. The results demonstrate how retransmissions pose a tradeoff between performance at high and low traffic load. The best network performance is obtained if the highest data rate is selected that yields a reasonably well-connected network. Collision avoidance is more important than the extended connectivity offered by low-rate signaling. On the other hand, at a given bit rate, a physical-layer scheme with extended connectivity but relatively weak links is shown to outperform a scheme with stronger links over fewer connections.

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Section: The Physical Layersmentioning

confidence: 99%

Underwater Acoustic Network Simulation With Lookup Tables From Physical-Layer Replay

Otnes

Walree

Buen

et al. 2015

IEEE J. Oceanic Eng.

Self Cite

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“…We remark that this requires both error control (to ensure reliable transmission from the trusted nodes to the sink) and medium access control (to regulate the access of the trusted nodes to the UWAC channel). Since the amount of information exchanged from the trusted nodes to the sink is small and limited to the value R φ,n in (16), the above controls can be implemented using reliable communication schemes[32].…”

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confidence: 99%

Cooperative Authentication in Underwater Acoustic Sensor Networks

Diamant

Casari

Tomasin

2019

IEEE Trans. Wireless Commun.

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With the growing use of underwater acoustic communications (UWAC) for both industrial and military operations, there is a need to ensure communication security. A particular challenge is represented by underwater acoustic networks (UWANs), which are often left unattended over long periods of time. Currently, due to physical and performance limitations, UWAC packets rarely include encryption, leaving the UWAN exposed to external attacks faking legitimate messages. In this paper, we propose a new algorithm for message authentication in a UWAN setting. We begin by observing that, due to the strong spatial dependency of the underwater acoustic channel, an attacker can attempt to mimic the channel associated with the legitimate transmitter only for a small set of receivers, typically just for a single one. Taking this into account, our scheme relies on trusted nodes that independently help a sink node in the authentication process. For each incoming packet, the sink fuses beliefs evaluated by the trusted nodes to reach an authentication decision. These beliefs are based on estimated statistical channel parameters, chosen to be the most sensitive to the transmitterreceiver displacement. Our simulation results show accurate identification of an attacker's packet. We also report results from a sea experiment demonstrating the effectiveness of our approach.

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“…JANUS is an incoherent scheme that uses frequency-shift keying, whereas DSSS is a coherent scheme with a much more computationally expensive receiver. More details on the two schemes and a comparison of their performances can be found in [24].…”

Section: B Prediction Of Communications Performancementioning

confidence: 99%

Validation of Replay-Based Underwater Acoustic Communication Channel Simulation

Otnes

Walree

Jenserud

2013

IEEE J. Oceanic Eng.

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This paper discusses validation methods for underwater acoustic communication channel simulators, and validates direct and stochastic replay of underwater acoustic communication channels as implemented in a channel simulator called Mime. Direct replay filters an input signal directly with a measured time-varying impulse response, whereas stochastic replay filters an input signal with a synthetic impulse response consistent with the scattering function of the measured channel. The validation uses data from two sea experiments and a diverse selection of communication schemes. Good agreement is found between bit error rates and packet error rates of in situ transmissions and simulated transmissions. Long-term error statistics of in situ signaling are also reproduced in simulation when a single channel measurement is used to configure the simulator. In all except one comparison, the packet error rate in simulation is within 20% of the packet error rate measured on location. The implication is that this type of channel simulator can be employed to test new modulation schemes in a realistic fashion without going to sea, except for the initial data collection.

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A performance comparison between DSSS, M-FSK, and frequency-division multiplexing in underwater acoustic channels

Cited by 13 publications

References 13 publications

Underwater Acoustic Network Simulation With Lookup Tables From Physical-Layer Replay

Underwater Acoustic Network Simulation With Lookup Tables From Physical-Layer Replay

Cooperative Authentication in Underwater Acoustic Sensor Networks

Validation of Replay-Based Underwater Acoustic Communication Channel Simulation

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