A Software-Defined Clustering Mechanism for Underwater Acoustic Sensor Networks

Wang, Jianping; Gao, Guanbin; Qu, Peixin; Chen, Wei; Zhang, Shujing; Zuo, Xiaoya; Zhou, Yu

doi:10.1109/access.2019.2937832

Cited by 17 publications

(4 citation statements)

References 57 publications

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“…Based on this work, we intend to verify the performance of MMW-NOMA in various scenarios thoroughly. Currently, we have designed a UAN [33][34][35][36] built on a softwaredefined networking (SDN) architecture. It is worth mentioning that the development process of UAN can be significantly shortened, and experimental construction can be easily realized based on SDN.…”

Section: Discussionmentioning

confidence: 99%

MMW-NOMA: An Uplink NOMA Communication System Based on the Node Pairing Algorithm of Maximum and Minimum Weight in Underwater Acoustic Networks

Gao

Wang

Chen

et al. 2022

Wireless Communications and Mobile Computing

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In orthogonal multiple access (OMA) communication systems, resources are allocated to numerous users based on time, frequency, or code domains. The low bandwidth of the underwater acoustic network limits the number of nodes that can be supported by the OMA system, due to limited resources. The innovative concept of nonorthogonal multiple access (NOMA) provides a solution that offers more nodes and increases spectral efficiency. As a promising technique, it optimizes power allocation through channel characteristics and adopts serial interference cancellation algorithms to decode the signal at the receiver. This paper introduces an underwater communication system based on the node pairing algorithm of maximum and minimum weight (MMW-NOMA). First, we build the system model in a UAN scenario. Second, we present the node pairing strategy. Third, we design a node replacement mechanism. Furthermore, we offer a power allocation algorithm. Finally, we compare the performance of MMW-NOMA with randomly paired NOMA (RP-NOMA) and orthogonal frequency division multiplexing (OFDM). Numerical results show that MMW-NOMA outperforms RP-NOMA and OFDM in throughput, mean square error, and energy efficiency. However, the complexity of MMW-NOMA is slightly higher than that of RP-NOMA but significantly lower than OFDM. These results show that MMW-NOMA achieves a reasonable trade-off between performance and complexity.

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Section: Discussionmentioning

confidence: 99%

MMW-NOMA: An Uplink NOMA Communication System Based on the Node Pairing Algorithm of Maximum and Minimum Weight in Underwater Acoustic Networks

Gao

Wang

Chen

et al. 2022

Wireless Communications and Mobile Computing

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“…A clustering mechanism based on software-defined networking (SDN) for UWSNs is presented in [37]. The entire network architecture was constructed following the SDN model.…”

Section: ) Sd-uasnmentioning

confidence: 99%

Survey on Recent Advancements in Energy-Efficient Routing Protocols for Underwater Wireless Sensor Networks

Khisa

Moh

2021

IEEE Access

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Underwater wireless sensor networks (UWSNs) have become highly efficient in conducting various operations in maritime environments. Compared to terrestrial wireless sensor networks, routing protocols in UWSNs are prone to high propagation delay, high energy consumption, low bandwidth, and low throughput. UWSNs are remotely located and operate without the need for human intervention. Most sensor batteries are energy restricted and very difficult to replace. One of the major challenges of UWSNs is the uneven utilization of energy resources, which reduces the network lifetime. Therefore, an energy-efficient routing mechanism is necessary to overcome the aforementioned problems. Many significant studies have attempted to realize this goal by designing energy-efficient routing protocols to provide efficient packet routing from source to destination. In this paper, we focus on discussing various energy-efficient routing protocols that are currently available for UWSNs, categorize them with a new taxonomy, and provide a comparative discussion. Finally, we present various research problems that remain open and challenges for future research.INDEX TERMS Acoustic communication, energy efficiency, maritime environment, network lifetime, routing protocol, underwater wireless sensor network.SHREYA KHISA received the B.S. degree in computer science and engineering from the University of Chittagong, Bangladesh, in 2017. She is currently pursuing the M.S. degree with the Mobile Computing Laboratory, Chosun University, South Korea. Her current research interests include wireless sensor networks, underwater wireless sensor networks, the Internet of Things, and unmanned aerial vehicle networks with a focus on network architectures and protocols.

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“…In [31], Li et al designed an improved clustering algorithm based on the particle swarm optimization algorithm, which can reduce the network energy consumption and prolong the network lifetime. Wang et al [32] presented a clustering mechanism based on the soft-defined network, in which the CH nodes are selected according to the energy threshold information broadcasted among the underwater nodes and then the nCH nodes connect with the CH node having the strongest signal strength. Wan et al designed an energy efficient clustering routing algorithm in [33].…”

Section: Related Workmentioning

confidence: 99%

An Energy Optimization Clustering Scheme for Multi-Hop Underwater Acoustic Cooperative Sensor Networks

Chen

Wan

et al. 2020

IEEE Access

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In this paper, we propose an improved energy optimization clustering algorithm (EOCA) for the multi-hop underwater acoustic cooperative sensor networks (UWA-CSN) due to the limited energy supply of the underwater sensor nodes. The proposed EOCA scheme considers multiple factors, such as the number of neighbor nodes, the residual energy of each node, the motion of the sensor nodes caused by the ocean currents, and the distance between the sink node and each underwater sensor node. All these factors are considered within the framework of the multi-hop cooperative communication. Moreover, in the proposed energy optimization scheme, we define a residual energy based maximum effective communication range (reE-MECR) according to the residual energy of each underwater sensor node, which can adaptively control the energy consumption of data transmission for each hop. Compared with the existing clustering scheme, the experimental results demonstrate that the proposed EOCA scheme can not only prolong the life time of the multi-hop UWA-CSN, but also keep a good communication and networking performance, including the package delivery ratio, the energy consumption efficiency, and the network coverage area. The proposed scheme can obtain both the clustering benefit and the cooperative communication benefit for the multi-hop UWA-SN in terms of energy saving in underwater environments. INDEX TERMS Underwater acoustic networks, cooperative communications, clustering algorithm, energy optimization.

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A Software-Defined Clustering Mechanism for Underwater Acoustic Sensor Networks

Cited by 17 publications

References 57 publications

MMW-NOMA: An Uplink NOMA Communication System Based on the Node Pairing Algorithm of Maximum and Minimum Weight in Underwater Acoustic Networks

MMW-NOMA: An Uplink NOMA Communication System Based on the Node Pairing Algorithm of Maximum and Minimum Weight in Underwater Acoustic Networks

Survey on Recent Advancements in Energy-Efficient Routing Protocols for Underwater Wireless Sensor Networks

An Energy Optimization Clustering Scheme for Multi-Hop Underwater Acoustic Cooperative Sensor Networks

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