A distributed routing-aware power control scheme for underwater wireless sensor networks

被引:8
作者
Shen, Zhongwei [1 ]
Yin, Hongxi [1 ]
Xing, Fangyuan [2 ]
Ji, Xiuyang [1 ]
Huang, An [1 ]
机构
[1] Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China
[2] Southeast Univ, Sch Cyber Sci & Engn, Nanjing 211189, Peoples R China
基金
中国博士后科学基金;
关键词
Distributed sensor network; Game theory; Opportunistic routing; Power control; Underwater wireless sensor network; DATA-COLLECTION; POTENTIAL-GAME; PROTOCOL; ALGORITHM;
D O I
10.1016/j.comcom.2023.07.024
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
During the data routing process in underwater wireless sensor networks, the communication ranges of nodes profoundly affect the network performances, such as energy utilization and delay overhead. Thus, in this paper, we design a routing-aware power control scheme for underwater wireless sensor networks, whose primary purpose is to assign a differentiated optimal communication radius for each sensor node. Compared with the existing studies, this scheme pays more attention to the combination of power control and existing opportunity routing mechanisms, the distributed implementation of algorithms, and the specific characteristics of underwater sensor network topology. The scheme consists of two main algorithms, namely, the rough adjustment algorithm and the fine adjustment algorithm. These two algorithms employ the game theory and the flooding mechanism to achieve the trade-off among network connectivity maintenance, routing performance promotion, and energy utilization optimization during the power control process. Based on the theoretical analysis, with the proposed algorithms, each node can adjust its transmitted power in a distributed, convergent, and low-complexity manner. According to our numerical simulation experiment, the designed power control scheme could improve the diverse networking performances, including the network lifetime, the packet delivery ratio, the energy efficiency, the load balance, and the end-to-end delay.
引用
收藏
页码:10 / 21
页数:12
相关论文
共 42 条
  • [1] [Anonymous], 2008, OCEANS 2008, DOI DOI 10.1109/OCEANS.2008.5151829
  • [2] A Collision-Avoided MAC Protocol With Time Synchronization and Power Control for Underwater Sensor Networks
    Chen, Ye
    Jin, Zhigang
    Zeng, Qinyi
    Yang, Qiuling
    [J]. IEEE SENSORS JOURNAL, 2022, 22 (19) : 19073 - 19087
  • [3] Mobile Relaying-Based Reliable Data Collection in Underwater Acoustic Sensor Networks
    Cheng, Mingyue
    Guan, Quansheng
    Ji, Fei
    Cheng, Julian
    Chen, Weiqi
    [J]. IEEE WIRELESS COMMUNICATIONS LETTERS, 2022, 11 (09) : 1795 - 1799
  • [4] OMUS: Efficient Opportunistic Routing in Multi-Modal Underwater Sensor Networks
    Coutinho, Rodolfo W. L.
    Boukerche, Azzedine
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2021, 20 (09) : 5642 - 5655
  • [5] A novel opportunistic power controlled routing protocol for internet of underwater things
    Coutinho, Rodolfo W. L.
    Boukerche, Azzedine
    Loureiro, Antonio A. F.
    [J]. COMPUTER COMMUNICATIONS, 2020, 150 : 72 - 82
  • [6] Coutinho RWL, 2017, IEEE ICC
  • [7] Underwater Wireless Sensor Networks: A New Challenge for Topology Control-Based Systems
    Coutinho, Rodolfo W. L.
    Boukerche, Azzedine
    Vieira, Luiz F. M.
    Loureiro, Antonio A. F.
    [J]. ACM COMPUTING SURVEYS, 2018, 51 (01)
  • [8] Reinforcement-Learning Based Dynamic Transmission Range Adjustment in Medium Access Control for Underwater Wireless Sensor Networks
    Dugaev, Dmitrii
    Peng, Zheng
    Luo, Yu
    Pu, Lina
    [J]. ELECTRONICS, 2020, 9 (10) : 1 - 26
  • [9] Distance-Vector-Based Opportunistic Routing for Underwater Acoustic Sensor Networks
    Guan, Quansheng
    Ji, Fei
    Liu, Yun
    Yu, Hua
    Chen, Weiqi
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (02) : 3831 - 3839
  • [10] Generic prediction assisted single-copy routing in underwater delay tolerant sensor networks
    Guo, Zheng
    Wang, Bing
    Cui, Jun-Hong
    [J]. AD HOC NETWORKS, 2013, 11 (03) : 1136 - 1149