Capacity improvements for reduced flooding using distance to sink information in underwater networks

Komulainen, Arwid; Nilsson, Josef

doi:10.1109/ucomms.2014.7017149

Cited by 10 publications

(3 citation statements)

References 8 publications

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“…9) which by experience over time have proven to work well: 5 s, 65 s, 2.5 s, 20 s, and 60 s. With respect to the maximum number of retransmissions, we investigate the different possibilities . Note that a sink-packet extension to Dflood has also been proposed [42], which can improve protocol performance in large networks. This extension is not considered in this paper.…”

Section: Network Protocol Under Studymentioning

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: Network Protocol Under Studymentioning

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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“…If nodes receive duplicate copies of the same packet within this time duration then it discards those copies. The algorithm proposed in [25] uses the back off timer with hop count to discard the duplicate copies. Many algorithms in past uses the same concept of timer and hop count.…”

Section: Literature Reviewmentioning

confidence: 99%

Energy Efficient Routing Algorithm for Void Avoidance in UWSN Using Residual Energy and Depth Variance

Khan¹,

R.K²

2018

IJCNC

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Underwater Wireless Sensor Networks (UWSN) is attracting the interest of most of the researcher because of the good opportunity to discover and catch the oceanic activities. As we know radio waves could not work efficiently in Underwater so Underwater Acoustic Sensor Networks (UASN) emerged as a most prevalent network to an outstanding range. UASN have some constraints in its deployment as well as acoustic wave communication. This limitation involves large propagation delay, transmission cost, very less bandwidth, high signal attenuation, and restricted accessibility of the nodes and non-availability of the recharging of nodes leads to the development of some energy saving algorithms to prolong the lifetime of the nodes. Routing technique must be rich enough to overcome all these constraints and give an energyefficient path by avoiding void regions and increase the network lifetime. Depth based algorithms proposed in the last decades use depth factor to estimate the path from sender to the sink. By having the holding time calculation they minimize the replication of information. Here, this paper have proposed Energy Efficient Void Avoidance Routing Scheme for UWSN (E2RV) using Residual Energy and Depth Variance it used two hop node information to escape the void shacks in the network area along with this it is using regularized remaining energy and normalized depth of the nodes to estimate the path from data generating node to sink node. In this way E2RV not only removing the void holes but also maintains the energy depletion of the network nodes and upsurge the network lifetime. Simulation results show the improvement of E2RV over previously defined algorithms in terms of packet delivery ratio, duplications, less energy depletion and increased lifetime.

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“…The timer is selected randomly between the predefined minimum and maximum backoff duration that is 5 s and 65 s. This scheme does not use any additional network parameter in the forwarding decision. The above work was extended by authors in [ 25 ], where they used hop count information, additional to the backoff, to better decide which packet should be considered duplicate and discarded. There are many similar works in the literature that involve the backoff timers, however, in this section, we discuss the depth based opportunistic void avoidance schemes, which are closely related to our proposed EDOVE scheme.…”

Section: Previous Workmentioning

confidence: 99%

EDOVE: Energy and Depth Variance-Based Opportunistic Void Avoidance Scheme for Underwater Acoustic Sensor Networks

Bouk

Ahmed

Park

et al. 2017

Sensors

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Underwater Acoustic Sensor Network (UASN) comes with intrinsic constraints because it is deployed in the aquatic environment and uses the acoustic signals to communicate. The examples of those constraints are long propagation delay, very limited bandwidth, high energy cost for transmission, very high signal attenuation, costly deployment and battery replacement, and so forth. Therefore, the routing schemes for UASN must take into account those characteristics to achieve energy fairness, avoid energy holes, and improve the network lifetime. The depth based forwarding schemes in literature use node’s depth information to forward data towards the sink. They minimize the data packet duplication by employing the holding time strategy. However, to avoid void holes in the network, they use two hop node proximity information. In this paper, we propose the Energy and Depth variance-based Opportunistic Void avoidance (EDOVE) scheme to gain energy balancing and void avoidance in the network. EDOVE considers not only the depth parameter, but also the normalized residual energy of the one-hop nodes and the normalized depth variance of the second hop neighbors. Hence, it avoids the void regions as well as balances the network energy and increases the network lifetime. The simulation results show that the EDOVE gains more than 15% packet delivery ratio, propagates 50% less copies of data packet, consumes less energy, and has more lifetime than the state of the art forwarding schemes.

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Capacity improvements for reduced flooding using distance to sink information in underwater networks

Cited by 10 publications

References 8 publications

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

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

Energy Efficient Routing Algorithm for Void Avoidance in UWSN Using Residual Energy and Depth Variance

EDOVE: Energy and Depth Variance-Based Opportunistic Void Avoidance Scheme for Underwater Acoustic Sensor Networks

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