Underwater Wireless Sensor Networks: Enabling Technologies for Node Deployment and Data Collection Challenges

被引:55
|
作者
Chaudhary, Monika [1 ,2 ]
Goyal, Nitin [3 ]
Benslimane, Abderrahim [4 ]
Awasthi, Lalit Kumar [5 ]
Alwadain, Ayed [6 ]
Singh, Aman [7 ,8 ,9 ]
机构
[1] Chitkara Univ, Inst Engn & Technol, Chandigarh 140401, India
[2] Seth Jai Parkash Mukandlal Inst Engn & Technol, CSE Dept, Yamunanagar 135133, India
[3] Cent Univ Haryana, Dept Comp Sci & Engn, Mahendragarh 123031, India
[4] Univ Avignon, Comp Sci & Engn, F-84029 Avignon, France
[5] Natl Inst Technol Uttarakhand, Comp Sci & Engn, Srinagar 246174, India
[6] King Saud Univ, Community Coll, Comp Sci Dept, Riyadh, Saudi Arabia
[7] Univ Europea Atlant, Higher Polytech Sch, Santander 39011, Spain
[8] Univ Int Iberoamericana, Dept Engn, Arecibo, PR 00613 USA
[9] Univ Int Iberoamericana, Dept Project Management, Campeche 24560, Mexico
关键词
Data collection; Wireless sensor networks; Robot sensing systems; Monitoring; Underwater communication; Oceans; Internet of Things; data communication; node deployment; underwater wireless sensor networks (UWSNs); ROUTING PROTOCOL; ALGORITHM; INTERNET; COMMUNICATION; SCHEME;
D O I
10.1109/JIOT.2022.3218766
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The development of underwater wireless sensor networks (UWSNs) has attracted great interest from many researchers and scientists to detect and monitor unfamiliar underwater domains. To achieve this goal, collecting data with an underwater network of sensors is primordial. Moreover, real-time information transmission needs to be achieved through efficient and enabling technologies for node deployment and data collection in UWSN. The Internet of Things (IoT) helps in real-time data transmission, and it has great potential in UWSN, i.e., the Internet of Underwater Things (IoUT). The IoUT is a modern communication ecosystem for undersea things in marine and underwater environments. Intelligent boats and ships, automatic maritime transportation, location and navigation, undersea discovery, catastrophe forecasting, and avoidance, as well as intelligent monitoring and security are all intertwined with the IoUT technology. In this article, the enabling technologies of UWSN along with several fundamental key aspects are scrupulously explained. The study aims to inquire about node deployment and data collection strategies, and then encourages researchers to lay the groundwork for new node deployment and advanced data collection techniques that enable effective underwater communication techniques. Besides different types of communication media, applications of UWSNs are also part of this article. Various existing data collection protocols based on the deployment models are simulated using network simulator (NS 2.30) to analyze and compare the performance of state-of-the-art techniques.
引用
收藏
页码:3500 / 3524
页数:25
相关论文
共 50 条
  • [31] FLOODING IN STATIC AND FREE DEPLOYMENT FOR UNDERWATER WIRELESS SENSOR NETWORKS
    Radha, S.
    Bala, G. Josemin
    PROCEEDINGS OF 2017 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSPC'17), 2017, : 28 - 32
  • [32] Deployment Strategy Analysis for Underwater Cooperative Wireless Sensor Networks
    Iqbal, Zafar
    Lee, Heung-No
    2015 INTERNATIONAL CONFERENCE ON ICT CONVERGENCE (ICTC), 2015, : 699 - 703
  • [33] EFFICIENT DEPLOYMENT SURFACE AREA FOR UNDERWATER WIRELESS SENSOR NETWORKS
    Li, Shiwei
    Wang, Wenjing
    Zhang, Juwei
    2012 IEEE 2ND INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENT SYSTEMS (CCIS) VOLS 1-3, 2012, : 1083 - 1086
  • [34] Random Node Sampling for Energy Efficient Data Collection in Wireless Sensor Networks
    Baqer, M.
    Al Mutawah, Khalid
    2013 IEEE EIGHTH INTERNATIONAL CONFERENCE ON INTELLIGENT SENSORS, SENSOR NETWORKS AND INFORMATION PROCESSING, 2013, : 467 - 472
  • [35] Deployment of Multiple Computing Systems in Underwater Wireless Sensor Networks
    Alsulami, Mohammad
    Elfouly, Raafat
    Ammar, Reda
    Aldosari, Huda
    2020 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT 2020), 2020,
  • [36] Node deployment optimization of underwater wireless sensor networks using intelligent optimization algorithm and robot collaboration
    Zhang, Yangmei
    Liu, Zhouzhou
    Bi, Yang
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [37] Node deployment optimization of underwater wireless sensor networks using intelligent optimization algorithm and robot collaboration
    Yangmei Zhang
    Zhouzhou Liu
    Yang Bi
    Scientific Reports, 13
  • [38] Node Self-Deployment Algorithm Based on Pigeon Swarm Optimization for Underwater Wireless Sensor Networks
    Yu, Shanen
    Xu, Yiming
    Jiang, Peng
    Wu, Feng
    Xu, Huan
    SENSORS, 2017, 17 (04)
  • [39] Deployment Challenges and Developments in Wireless Sensor Networks Clustering
    Doddapaneni, Krishna
    Omondi, Fredrick A.
    Ever, Enver
    Shah, Purav
    Gemikonakli, Orhan
    Gagliardi, Roberto
    2014 28TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS WORKSHOPS (WAINA), 2014, : 227 - 232
  • [40] Cost Effective Node Deployment Strategy for Energy-Balanced and Delay-Efficient Data Collection in Wireless Sensor Networks
    Doudou, Messaoud
    Djenouri, Djamel
    Barcelo-Ordinas, Jose M.
    Badache, Nadjib
    2014 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2014, : 2868 - 2873