AUV-Aided Energy-Efficient Clustering in the Internet of Underwater Things

Khan, Muhammad Toaha Raza; Ahmed, Syed Hassan; Kim, Dongkyun

doi:10.1109/tgcn.2019.2922278

Cited by 42 publications

(18 citation statements)

References 17 publications

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“…In [ 18 ], autonomous unmanned vehicles (AUVs) were deployed underwater for cluster formation, cluster head selection, and scheduling the transmission and wake-up sleep cycle. Since the cluster heads have to wait for the AUVs to collect data, packet delay may increase as a result of the waiting time at the cluster head.…”

Section: Related Workmentioning

confidence: 99%

“…Even though each protocol uses different metrics to select the cluster head, they mostly focus on the residual energy of the node and the distance between the node to the sink. To increase network reliability, some clustering protocols select an assisted node which can assume the role of the sink [ 9 , 12 , 18 ] or the control node [ 10 ]. The assisted node can receive data from the sensor node or control the network topology.…”

Section: Energy-efficient Clustering Multi-hop Routing Protocolmentioning

confidence: 99%

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Energy-Efficient Clustering Multi-Hop Routing Protocol in a UWSN

Nguyen

et al. 2021

Sensors

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Underwater wireless sensor networks are currently seeing broad research in various applications for human benefits. Large numbers of sensor nodes are being deployed in rivers and oceans to monitor the underwater environment. In the paper, we propose an energy-efficient clustering multi-hop routing protocol (EECMR) which can balance the energy consumption of these nodes and increase their network lifetime. The network area is divided into layers with regard to the depth level. The data sensed by the nodes are transmitted to a sink via a multi-hop routing path. The cluster head is selected according to the depth of the node and its residual energy. To transmit data from the node to the sink, the cluster head aggregates the data packet of all cluster members and then forwards them to the upper layer of the sink node. The simulation results show that EECMR is effective in terms of network lifetime and the nodes’ energy consumption.

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Section: Related Workmentioning

confidence: 99%

Section: Energy-efficient Clustering Multi-hop Routing Protocolmentioning

confidence: 99%

Energy-Efficient Clustering Multi-Hop Routing Protocol in a UWSN

Nguyen

et al. 2021

Sensors

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“…In terms of energy balance research in UWA-SNs, in [2], each sensor node is set to periodically switch from the wakeup mode to the sleep mode to reduce energy consumption when a sensor node is idle. In [3], M. T. R. Khan et al proposed to select the cluster head node with the highest residual energy in the cluster. Each member node turns into the sleep mode after transmitting data to the selected cluster head, which aggregate and forward the received data to the autonomous underwater vehicles (AUV), thus balancing the energy consumption of the nodes.…”

Section: Related Workmentioning

confidence: 99%

“…At present, underwater acoustic sensor networks (UWA-SNs) have been widely used in auxiliary navigation, ecological observation, resource development, ship detection, and so on [1,2]. The Internet of underwater things (IoUT) has gradually become a promising research topic [3,23].…”

Section: Introductionmentioning

confidence: 99%

Node Energy Consumption Balanced Multi-Hop Transmission for Underwater Acoustic Sensor Networks Based on Clustering Algorithm

et al. 2020

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With the advancement and implementation of marine strategies in various countries, it is of great significance to collect marine data by using underwater acoustic sensor networks (UWA-SNs). Due to the difficulties in charging or replacing batteries, how to prolong the lifetime of underwater sensor nodes is one of the key problems to be solved. In this paper, we propose a new energy consumption balanced protocol, named as dynamic clustering K-means (DC-K-means) based simplified balanced energy adaptive routing (S-BEAR), to prolong the lifetime of a UWA-SN by balancing the energy consumption of underwater sensor nodes and avoiding the energy hole. First, by considering the residual energy of the underwater sensor nodes, we propose the DC-K-means algorithm to cluster the underwater sensor nodes and optimize the topology of data transmission among underwater sensor nodes so that the overall energy consumption of the system can be reduced and the problem of energy consumption balance of underwater sensor nodes can be solved. Then, the S-BEAR protocol is designed for multi-hop transmissions, where the data collected by each cluster head is transmitted to the surface receiving terminal equipment, and thus further balances and saves the energy consumption of the system. The simulation results demonstrate that the proposed DC-K-means based S-BEAR scheme has the advantages of more balanced energy consumption among sensor nodes and higher overall residual energy as compared to the state-of-the-art schemes.

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“…In recent years, there has been many researches on addressing the energy problem in WSN. We can divide most of the prior literature into three methods: energy conservation schemes [6], energy harvesting methods [7] and wireless charge approaches [8]. The energy conservation schemes can only improve the energy efficiency while not compensating for the energy consumed by nodes.…”

Section: Introductionmentioning

confidence: 99%