Data-Gathering Scheme Using AUVs in Large-Scale Underwater Sensor Networks: A Multihop Approach

Khan, Jawaad Ullah; Cho, Ho-Shin

doi:10.3390/s16101626

Cited by 39 publications

(30 citation statements)

References 38 publications

(63 reference statements)

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“…Thus, we need consider the transmission of both the mobile and fixed nodes in the MAC protocol designing. There are some MAC protocols proposed for the UASN with mobile nodes [ 17 , 18 ]. In the work of Yoon and Qiao [ 17 ], according to the real-time location information of the mobile node, the sink node schedules the transmission time slot of the sensor node dynamically, in order to avoid transmission collisions.…”

Section: Introductionmentioning

confidence: 99%

DCO-MAC: A Hybrid MAC Protocol for Data Collection in Underwater Acoustic Sensor Networks

Deng

Chen

Xie

2018

Sensors

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In underwater acoustic sensor networks (UASNs), medium access control (MAC) is an important issue because of its potentially significant effect on the network performance. However, designing a suitable MAC protocol for the UASN is challenging because of the specific characteristics of the underwater acoustic channel and network, such as limited available bandwidth, long propagation delay, high bit-error-rate, and sparse network topology. In addition, as the traffic load is non-uniformly distributed in a UASN for data collection, it is essential to consider the application feature for the MAC protocol. In this paper, we propose a MAC protocol in a data-collection-oriented UASN, abbreviated as the DCO-MAC protocol. In the proposed protocol, the network is partitioned into two kinds of sub-networks according to the traffic load. A contention-based MAC protocol is used in the sub-network with a light traffic load, while a reservation-based MAC protocol is used in the sub-network with a heavy traffic load. Meanwhile, the DCO-MAC protocol supports the access of mobile nodes. The theoretical analysis and simulation results demonstrate that, in a UASN for data collection, the proposed MAC protocol outperforms the other existing MAC protocols, in terms of the network throughput, end-to-end packet delay, energy overhead, and fairness.

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Section: Introductionmentioning

confidence: 99%

DCO-MAC: A Hybrid MAC Protocol for Data Collection in Underwater Acoustic Sensor Networks

Deng

Chen

Xie

2018

Sensors

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“…In [21], a data-gathering scheme for hierarchical UWSN, which uses multiple AUVs to explore large-scale areas, was presented. These multiple AUVs form an intermittently connected multihop network through inter-AUV synchronization for forwarding data to the sink.…”

Section: Literature Reviewmentioning

confidence: 99%

Atomic-shaped efficient delay and data gathering routing protocol for underwater wireless sensor networks

Farooq¹,

Ali²,

Shaf³

et al. 2019

Turk J Elec Eng & Comp Sci

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High end-to-end delay is a major challenge in autonomous underwater vehicle (AUV)-aided routing protocols for underwater monitoring applications. In this paper, a new routing protocol called atomic-shaped efficient delay and data gathering (ASEDG) has been introduced for underwater wireless sensor networks. The ASEDG is divided into two phases; in the first phase, the atomic-shaped trajectory model with horizontal and vertical ellipticals was designed for the movement of the AUV. In the second phase, two types of delay models were considered to make our protocol more delay efficient: member nodes (MNs) to MNs and MNs to gateway nodes (GNs). The MNs-to-MNs delay in the network specifies how long is required for the selection of the next possible forwarders by eliminating the chances of backtracking and a higher number of association links. The MNs-to-GNs delay is considered to choose the path from a multipath environment that takes a minimum amount of time for sending the packet from its generation to destination node. For efficient data gathering, this new trajectory model creates the maximum possible GNs for the association of the MNs. Furthermore, our protocol, ASEDG, has been evaluated by using the aquasim network simulator (NS-2), and its results were compared with the already existing protocol, an efficient data gathering (AEDG) routing protocol. The simulation results show that the ASEDG performed better than the AEDG in terms of end-to-end delay and throughput.

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“…An event-driven simulation was carried out in a network simulator developed in Matlab that has been used in our previous published works [ 22 , 23 , 29 , 30 , 31 , 32 , 33 , 34 ] and we considered Thorp’s underwater channel model [ 35 , 36 ]. We consider a 3-km × 3-km underwater plane at a certain depth, where 25 static nodes are randomly distributed.…”

Section: Performance Analysismentioning

confidence: 99%

Network Allocation Vector (NAV) Optimization for Underwater Handshaking-Based Protocols

Cho

Shitiri

Cho

2016

Sensors

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In this paper, we obtained the optimized network allocation vector (NAV) for underwater handshaking-based protocols, as inefficient determination of the NAV leads to unnecessarily long silent periods. We propose a scheme which determines the NAV by taking into account all possible propagation delays: propagation delay between a source and a destination; propagation delay between a source and the neighbors; and propagation delay between a destination and the neighbors. Such an approach effectively allows the NAV to be determined precisely equal to duration of a busy channel, and the silent period can be set commensurate to that duration. This allows for improvements in the performance of handshaking-based protocols, such as the carrier sense multiple access/collision avoidance (CSMA/CA) protocol, in terms of throughput and fairness. To evaluate the performance of the proposed scheme, performance comparisons were carried out through simulations with prior NAV setting methods. The simulation results show that the proposed scheme outperforms the other schemes in terms of throughput and fairness.

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Data-Gathering Scheme Using AUVs in Large-Scale Underwater Sensor Networks: A Multihop Approach

Cited by 39 publications

References 38 publications

DCO-MAC: A Hybrid MAC Protocol for Data Collection in Underwater Acoustic Sensor Networks

DCO-MAC: A Hybrid MAC Protocol for Data Collection in Underwater Acoustic Sensor Networks

Atomic-shaped efficient delay and data gathering routing protocol for underwater wireless sensor networks

Network Allocation Vector (NAV) Optimization for Underwater Handshaking-Based Protocols

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