A hybrid MAC protocol in data-collection-oriented underwater acoustic sensor networks

Deng, Min; Chen, Huifang; Xie, Lei

doi:10.1109/oceanse.2017.8084852

Cited by 8 publications

(4 citation statements)

References 11 publications

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“…The DCO-UASN is partitioned into two kinds of sub-networks [ 21 ]. The level-1 sub-network consists of the sink and several level-1 nodes, such as A, B, C, and D in Figure 1 .…”

Section: System Modelmentioning

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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“…The DCO-UASN is partitioned into two kinds of sub-networks [ 21 ]. The level-1 sub-network consists of the sink and several level-1 nodes, such as A, B, C, and D in Figure 1 .…”

Section: System Modelmentioning

confidence: 99%

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

Deng

Chen

Xie

2018

Sensors

Self Cite

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“…In [23], a conflict-free MAC protocol is proposed for regional underwater observation networks, which also uses centralized allocation to avoid conflicts. Considering the uneven network traffic load, in [24], contention-based and reservation-based MAC protocols are designed for low and high traffic load networks, respectively.…”

Section: Node-centered Mac Protocolsmentioning

confidence: 99%

A Medium Access Control Protocol Based on Interference Cancellation Graph for AUV-Assisted Internet of Underwater Things

2023

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With the booming development of marine exploration technology, new studies such as the oceanix city, smart coastal city, and underwater smart cities have been proposed, and the Internet of Underwater Things (IoUT) has received a lot of attention. Data collection is an important application of the IoUT. The common method is to collect data by traversing the network using underwater intelligent devices, such as Autonomous Underwater Vehicles (AUVs). However, traditional data collection methods focus more on issues, such as path planning or the task assignment of AUVs. It is commonly known that the MAC protocol plays a crucial role in data transmission, which is designed to solve the competition issue for shared channels. However, the research on MAC is very challenging owing to the characteristics of hydroacoustic communication, e.g., the low bandwidth, high error rate, and long transmission latency. Hence, this paper proposes a MAC protocol based on an Interference Cancellation Graph (ICG-MAC) for AUV-assisted IoUT. It ensures that AUVs can join the network for data transmission immediately after arriving at the target area and they do not interfere with the normal work of other sensor nodes. Firstly, the target area to be reached by an AUV for data collection is defined according to the node degree and residual energy; then the interference model between neighboring nodes is analyzed and an Interference Cancellation Graphx is established, based on which the time slots are allocated for sensor nodes; and finally, the AUV moves to the target area for conflict-free data collection. The simulation results show that the proposed algorithm outperforms the comparison algorithms in terms of the network throughput and energy consumption. With the assistance of an AUV, better network connectivity and higher network traffic can be obtained.

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“…Saad et al [15] have offered an optimized scheme focusing on machine-to-machine communication using a hybrid MAC system where Monte-Carlo simulation has been used. Apart from this, there are various other approaches, e.g., Yang et al [16], Deng et al [17], Ma et al [18], Jeon et al [19],Cao et al [20], Alam and Kim [21], Nguyen et al [22], Yang et al [23], Liu et al [24], Hu et al [25]. Therefore, it can be seen that there has been extensive work carried out towards the hybrid MAC approach considering different use cases where the majority of the work has focused on energy problems in wireless Optimizing Performance Parameters in Wireless Sensor Network using Hybrid Medium Access Control networks [30][31][32].…”

Section: Related Workmentioning

confidence: 99%

Optimizing Performance Parameters in Wireless Sensor Network using Hybrid Medium Access Control

Anitha¹,

Ananda²

2018

EAI Endorsed Transactions on Energy Web

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To carry out an efficient data aggregation operation, it is essential to retain the optimal number of nodes for an extensive sensing period in wireless sensor networks. Hybrid Medium Access Control (MAC) uses its contention and scheduling options to offer this feature by facilitating access over the shared resources and offering better energy efficiency. However, a review of existing approaches highlights that there is still a large scope for improvement. Therefore, the proposed system introduces a model for hybrid MAC that facilitates optimal routine management of states of nodes and offers a dual optimization model by ensuring extensive participation of intermediate nodes. The proposed scheme Simulated in MATLAB, the study outcome shows that it offers a good balance between energy efficiency and communication performance in comparison to existing hybrid MAC schemes.

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A hybrid MAC protocol in data-collection-oriented underwater acoustic sensor networks

Cited by 8 publications

References 11 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

A Medium Access Control Protocol Based on Interference Cancellation Graph for AUV-Assisted Internet of Underwater Things

Optimizing Performance Parameters in Wireless Sensor Network using Hybrid Medium Access Control

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