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

Bouk, Safdar Hussain; Ahmed, Syed Hassan; Park, Kyung‐Joon; Eun, Yongsoon

doi:10.3390/s17102212

Cited by 27 publications

(22 citation statements)

References 24 publications

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“…The designed scheme employs a recovery mode procedure based on the ASNs depth adjustment during relaying data packets from ASNs in void regions to the sea surface sink. The research in [14] balances the energy consumption load and avoids the void regions because of considering the normalized depth variance of the relay ASNs in the network. Also, in [15] an idea of pressure routing is discussed to provide reliable packets transmission of the events to any surface sonobuoy.…”

Section: Existing Studies and Challenges In Underwater Wireless Sementioning

confidence: 99%

QoSRP: A Cross-Layer QoS Channel-Aware Routing Protocol for the Internet of Underwater Acoustic Sensor Networks

Faheem

Butt

Raza

et al. 2019

Sensors

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Quality of service (QoS)-aware data gathering in static-channel based underwater wireless sensor networks (UWSNs) is severely limited due to location and time-dependent acoustic channel communication characteristics. This paper proposes a novel cross-layer QoS-aware multichannel routing protocol called QoSRP for the internet of UWSNs-based time-critical marine monitoring applications. The proposed QoSRP scheme considers the unique characteristics of the acoustic communication in highly dynamic network topology during gathering and relaying events data towards the sink. The proposed QoSRP scheme during the time-critical events data-gathering process employs three basic mechanisms, namely underwater channel detection (UWCD), underwater channel assignment (UWCA) and underwater packets forwarding (UWPF). The UWCD mechanism finds the vacant channels with a high probability of detection and low probability of missed detection and false alarms. The UWCA scheme assigns high data rates channels to acoustic sensor nodes (ASNs) with longer idle probability in a robust manner. Lastly, the UWPF mechanism during conveying information avoids congestion, data path loops and balances the data traffic load in UWSNs. The QoSRP scheme is validated through extensive simulations conducted by NS2 and AquaSim 2.0 in underwater environments (UWEs). The simulation results reveal that the QoSRP protocol performs better compared to existing routing schemes in UWSNs.

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Section: Existing Studies and Challenges In Underwater Wireless Sementioning

confidence: 99%

QoSRP: A Cross-Layer QoS Channel-Aware Routing Protocol for the Internet of Underwater Acoustic Sensor Networks

Faheem

Butt

Raza

et al. 2019

Sensors

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“…In [29] author says UWSN has detectors with internal restrictions because of it's deployed within the aquatic surroundings and use of water signals to speak. There are several restrictions like delay in propagation, terribly restricted information measure, not economic for transmission, terribly high peak of signal and change of power source.…”

Section: Literature Reviewmentioning

confidence: 99%

“…It is obvious that when transmission range increases packet suppression increases also the chances for packet collision is also increases. From the simulation results shown in figure 4 is, E2RV is comparing with two algorithms EDOVE [29] called as R1 and WDFAD-DAB [20] called as R2. E2RV is broadcasting lesser copies of data packets and R1 and R2 algorithms.…”

Section: Broadcast Copies Of Data Packetsmentioning

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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“…In [7], the authors propose a system avoiding opportunistic voids, which is based on energy variance and depth to achieve energy balance. This technique is used to avoid empty regions and allows to balance energy especially within Underwater Acoustic Sensor Networks.…”

Section: Introduction and Related Workmentioning

confidence: 99%

Detecting gaps and voids in WSNs and IoT networks

Bezoui

Bounceur

Lagadec

et al. 2018

Proceedings of the 2nd International Conference on Future Networks and Distributed Systems

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A random deployment of Wireless Sensor Networks (WSNs) is often the basic structure used in the context of re forest detection, military applications or any situation where the zone-of-interest is not accessible by humans. The main problematic in this kind of deployment is the formation of gaps or voids, which represent a zone which is not covered in the network. This reduces signicantly its Quality of Service and can lead to serious problems, like a nondetected starting re, the presence of unexpected persons or attacks, etc. Therefore, detecting zones that are not covered by the WSN is of great importance. In this paper, we present a new method allowing to detect gaps and voids in WSNs or in IoT networks by using some characteristics of the angles of the polygon formed by the boundary as determined by the D-LPCN algorithm. These angles can be interior or exterior. Characterizing the angles of the polygon formed by these boundary nodes allows to specify whether this boundary is a gap or a void, in case where the obtained polygon is interior. Since D-LPCN is fault-tolerant, the simulation results show that it is possible to use it for the detection of faulty nodes and intrusions. 1

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

Cited by 27 publications

References 24 publications

QoSRP: A Cross-Layer QoS Channel-Aware Routing Protocol for the Internet of Underwater Acoustic Sensor Networks

QoSRP: A Cross-Layer QoS Channel-Aware Routing Protocol for the Internet of Underwater Acoustic Sensor Networks

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

Detecting gaps and voids in WSNs and IoT networks

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