A Collision-Avoided MAC Protocol With Time Synchronization and Power Control for Underwater Sensor Networks

Chen, Ye; Jin, Zhigang; Zeng, Qinyi; Yang, Qiuling

doi:10.1109/jsen.2022.3197936

Cited by 9 publications

(2 citation statements)

References 32 publications

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“…The width l of each layer equals the transmission range R th used by the cluster head node for inter-cluster communication. The layers can be determined by (Z area /l), where Z area is the coverage depth of the sensor network [53]. This specification can prevent transmission overlap between adjacent layer nodes.…”

Section: Tdtspc-mac: An Energy-efficient Mac Protocol a Hierarchical ...mentioning

confidence: 99%

An Energy-Efficient MAC Protocol for Three-Dimensional Underwater Acoustic Sensor Networks With Time Synchronization and Power Control

et al. 2023

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In recent years, Underwater Acoustic Sensor Networks (UASNs) have gained considerable attention for their unique role in detecting and monitoring the underwater environment. However, due to the long propagation time, high bit error rate, and limited bandwidth of underwater acoustic systems, the design of media access control (MAC) protocols is extremely complex, especially for the power consumption of UASNs. Therefore, this paper proposes an energy-efficient MAC protocol for three-dimensional UASNs with time synchronization and power control (TDTSPC-MAC). The proposed protocol is a hybrid access scheme for three-dimensional UASN using techniques such as time synchronization, power control, clustering, layering, and sleep mechanisms. Moreover, the TDTSPC-MAC protocol uses the hierarchical concept and distributed clustering algorithm to divide the three-dimensional space, and combines time synchronization and power control strategies to avoid collisions. Besides, energy consumption is reduced through monitoring and sleep mode. Simulation results demonstrate that the proposed TDTSPC-MAC protocol has reasonable data transmission delay time, throughput, energy consumption, and other performance.

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Section: Tdtspc-mac: An Energy-efficient Mac Protocol a Hierarchical ...mentioning

confidence: 99%

An Energy-Efficient MAC Protocol for Three-Dimensional Underwater Acoustic Sensor Networks With Time Synchronization and Power Control

et al. 2023

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“…In common network architecture, the underwater information is transmitted to the surface beacon node through multi-hop nodes, and then the information is shared through satellite. Unique network architecture was presented in [36], in which the information obtained by sensors was directly transmitted to the land base station through cables erected on the seabed, which can solve the malicious capture of buoys on the surface. In [37], a secure localization algorithm for information transmission attacks was proposed, which combines iterative gradient descent with selective pruning of inconsistent measurement to achieve accurate localization in attack scenarios.…”

Section: Related Workmentioning

confidence: 99%

A Secure Localization Scheme for UASNs Based on Anchor Node Self-Adaptive Adjustment

Ding

Zhou

et al. 2023

JMSE

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The UASNs are widely used in underwater communications and monitoring, and many applications require accurate information regarding the position of nodes. However, intentional attacks against devices or information transmission may exist in the network, and the localization process is periodic, so it is necessary to quickly address attacks and optimize the network structure. This paper proposed an anchor node self-adaptive adjustment localization scheme (ASAL), in which the anchor node can adjust the state and depth of its participation. Two filters were used to adjust the states of referable nodes. The first filter was based on the distance difference of reverse information transmission after direct localization based on anchor nodes. The second was based on the error of the anchor node’s reverse localization after network localization was completed. In addition, a depth-adjustment mechanism of anchor nodes was proposed to optimize the network structure, the virtual force vector was introduced to describe the cost of depth adjustment, and the whale optimization algorithm was used to converge to the depth with the minimum total cost. The simulation results showed that the scheme can ensure localization accuracy and coverage in attack scenarios and reduce localization energy consumption.

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CBU-SMAC: an energy-efficient CLUSTER-BASED UNIFIED SMAC algorithm for wireless sensor networks

Abdulai,

Amengu,

Katsriku

et al. 2024

J Ambient Intell Human Comput

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A Collision-Avoided MAC Protocol With Time Synchronization and Power Control for Underwater Sensor Networks

Cited by 9 publications

References 32 publications

An Energy-Efficient MAC Protocol for Three-Dimensional Underwater Acoustic Sensor Networks With Time Synchronization and Power Control

An Energy-Efficient MAC Protocol for Three-Dimensional Underwater Acoustic Sensor Networks With Time Synchronization and Power Control

A Secure Localization Scheme for UASNs Based on Anchor Node Self-Adaptive Adjustment

CBU-SMAC: an energy-efficient CLUSTER-BASED UNIFIED SMAC algorithm for wireless sensor networks

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