Game-Theory-Based Clustering Scheme for Energy Balancing in Underwater Acoustic Sensor Networks

Xing, Guanglin; Chen, Yumeng; Hou, Rui; Dong, Mianxiong; Zeng, Deze; Luo, Jiangtao

doi:10.1109/jiot.2021.3055857

Cited by 35 publications

(9 citation statements)

References 24 publications

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“…Therefore, improper handling may lead to transmission errors, missing links, collisions, and congestion. To solve these problems, Xing et al proposed a clustering method based on game theory and Nash equilibrium [27]. Anupama et al proposed a clustering algorithm based on sensor nodes' three-dimensional hierarchical network architecture [28].…”

Section: Related Workmentioning

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: Related Workmentioning

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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“…Xing et al [22] proposes a GTC scheme for under acoustic sensor networks to improve the network balance and energy consumption. The cluster head is evenly distributed in the non uniform sectors of network area .Using this scheme the network life time increases by balanced energy.…”

Section: Related Workmentioning

confidence: 99%

Reliable efficient cluster routing protocol based HTDE scheme for UWSN

Natarajan

Kavitha

2022

IJEECS

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<p>Underwater sensor networks (UWSNs) are recently recognized as a promising method for monitoring and exploring the underwater environment. Due to real-time remote data monitoring requirements, UWSN has become a preferred network to a large extent. But reliable and efficient secure data transmission to the receiver is one of the most important challenges for UWSNs, often suffer from irreplaceable batteries and high latency for long-distance communications. The most challenging task is extending network life, shortening transmission distances for each node. Thus, this paper presents the reliable efficient cluster routing (RECR) protocol, optimal shortest path finding (OSPF) algorithm and hill transformation data encryption (HTDE) algorithm for UWSNs. The proposed encryption algorithm encrypts the data from the source node, and the RECR protocol is used for reliable data delivery from source to destination. To extend the network's life, RECR employs autonomous underwater vehicle (AUV) from the sink node (SN) for data collection. The OSPF algorithm is used to find the shortest path for data transmission to avoid latency. The proposed RECR protocol, HTDE and OSPF algorithm enhance the secure data transmission efficiency, minimizing the energy consumption and improves the network life time. The proposed protocol decreases end-to-end latency, packet loss.</p>

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“…Historically, the game theory is widely used in the area of economics and commerce for many decades. In the game theory model of WSN, all nodes of WSN act as players and participate in the process of decision making 14 . There are two categories of game theory: cooperative and non‐cooperative.…”

Section: Introductionmentioning

confidence: 99%

“…In the game theory model of WSN, all nodes of WSN act as players and participate in the process of decision making. 14 There are two categories of game theory: cooperative and non-cooperative. In a non-cooperative game, all nodes act in a selfish manner and concentrate on their own utility only rather than the whole network.…”

Section: Introductionmentioning

confidence: 99%

A game theory‐based clustering and multi‐hop routing scheme in wireless sensor networks for energy minimization

Gupta

Aulakh

2022

Int J Communication

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Summary Energy consumption in wireless sensor network (WSN) is one of the important issues as tiny sensor nodes are equipped with a non‐replaceable batteries. Clustering is one of the effective means to prolong the network lifetime in WSN by reducing the number of packets to be sent from cluster heads (CHs) to base station (BS). Recently, game theory techniques have been applied in the clustering process for optimal CH election at each round. However, none of them have considered the energy parameter in their game strategy and multihop routing for data transmission. In this manuscript, an energy‐efficient game‐theoretic clustering and multi‐hop routing scheme (EGCR) has been proposed where the non‐cooperative approach of game theory is used to elect optimal CHs. In the proposed game theoretic framework, each node behaves in a selfish manner while considering the residual energy of nodes and focuses on increasing the overall lifetime of the network. Nash equilibrium is determined among a set of pure and mixed strategies, and then the expected payoff of a node is determined for Nash equilibria. Apart from the energy‐efficient clustering, the EGCR also proposes a multi‐hop routing solution for data transmission that further enhances the lifetime of whole network. In the multi‐hop routing approach, inter‐cluster and intra‐cluster routing techniques are proposed to identify optimal routes from nodes to CHs and from CHs to BS by using various factors such as node centrality, distance from the node to BS, and residual energy. The proposed algorithm is compared with traditional clustering schemes like low‐energy adaptive clustering hierarchy (LEACH) and efficient energy‐aware game theory‐based clustering (EEGC) and also with existing game theory‐based algorithms such as clustered routing for selfish sensors (CROSS), localized game theoretical clustering algorithm (LGCA), and energy‐efficient clustering algorithm based on game theory (ECAGT). Simulation experiments validate that the proposed algorithm enhances the network's lifetime up to 47.49% compared to existing clustering algorithms.

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Game-Theory-Based Clustering Scheme for Energy Balancing in Underwater Acoustic Sensor Networks

Cited by 35 publications

References 24 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

Reliable efficient cluster routing protocol based HTDE scheme for UWSN

A game theory‐based clustering and multi‐hop routing scheme in wireless sensor networks for energy minimization

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