Multilayered energy harvesting and aggregation in underwater sensor acoustic networks for performance enhancement

Pramod, H B; Kumar, Rajeev

doi:10.1109/icett.2016.7873769

Cited by 3 publications

(3 citation statements)

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“…Considering broadcast nature and flexible computations, the authors of [41] suggested NC for the UWSN routing protocol so as to increase PDR [42]. Various UWSN related issues have been discussed in [43,44]. A few significant suggestions to enhance UWSN performance can be found in [45][46][47][48].…”

Section: Network Coding Schemes For Underwater Networkmentioning

confidence: 99%

“…Various UWSN related issues have been discussed in [43,44]. A few significant suggestions to enhance UWSN performance can be found in [45][46][47][48]. In [49], authors investigated the usefulness of the multilayered energy harvesting approach to increase the performance of UWSN.…”

Section: Network Coding Schemes For Underwater Networkmentioning

confidence: 99%

“…The autocorrelation function derived in (49) depicts Bessel-type characteristics, dampened by the exponentially depleting correlation of γ p [in (49)].…”

Section: Statistical Model For γ P (F T)mentioning

confidence: 99%

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Statistical Channel Model and Systematic Random Linear Network Coding Based QoS Oriented and Energy Efficient UWSN Routing Protocol

Basavaraju¹,

Gururaj²,

Mohan³

et al. 2022

Electronics

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Considering the significance of an energy efficient, delay tolerant and reliable communication protocol for underwater acoustic wireless sensor network (UWSN), this paper proposes a novel systematic random linear network coding (SRLNC) based transmission system examined over a robust statistical UWSN channel model. The derived statistical channel model deals with both the small-scale fading primarily caused by scattering and small wavelength changes and large-scale fading introduced due to node dislocation in the underwater acoustic medium. The proposed SRLNC transmission-based routing approach has been applied over the proposed underwater acoustic (statistical) channel model, and respective performance assessment has been conducted in terms of throughput, energy efficiency, delay and computational complexity by varying network condition parameters. The contributions such as low coefficient vector and Galois filed, low redundant message requirements, computationally efficient pre-coding scheme, iterative buffer flush and enhanced FEC based decoding make the SRLNC based routing protocol sufficiently robust to enable reliable, energy-efficient and delay resilient communication over UWSN. The proposed SRLNC based UWSN routing protocol and its efficacy over dynamic channel conditions affirm that it can be a potential solution for QoS-oriented mission critical underwater communication purposes.

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