Narrowband and wideband EMW path loss in underwater wireless sensor network

被引:3
|
作者
Zali, Hanisah Mohd [1 ]
Mahmood, Mohd Khairil Adzhar [2 ]
Pasya, Idnin [2 ]
Hirose, Miyuki [3 ]
Ramli, Nurulazlina [4 ]
机构
[1] Univ Teknol MARA, Coll Engn, Sch Elect Engn, Melaka, Malaysia
[2] Univ Teknol MARA, Microwave Res Inst, Shah Alam, Selangor, Malaysia
[3] Tokyo Denki Univ, Sch Sci & Technol Future Life, Adachi Ku, Tokyo Senju Campus, Tokyo, Japan
[4] SEGi Univ, Fac Engn Built Environm & Informat Technol, Coll Kota Damansara, Petaling Jaya, Malaysia
关键词
Sensor networks; Wideband; Narrowband; Path loss; Underwater antenna; Underwater sensors; Underwater communication; ELECTROMAGNETIC COMMUNICATION;
D O I
10.1108/SR-04-2021-0128
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
Purpose Utilization of electromagnetic wave (EMW) sensors in an underwater environment has the potential to increase the data rate compared to acoustic-based sensors because of the ability to use larger signal bandwidth. Nevertheless, EMW signals has the drawback of large signal attenuation in underwater, attributed to the high relative permittivity and conductivity of water compared to the atmosphere, hence employment of wide signal bandwidth is necessary to balance the data rate-attenuation trade-off. The purpose of this paper is to analyze the characteristics of both narrowband and wideband EMW signal propagation underwater and devise a path loss model for both cases. Design/methodology/approach Path loss measurement was conducted using a point-to-point configuration in a laboratory water tank while transmitting narrowband and wideband signals between a pair of wideband underwater antennas. The wideband underwater antennas use buffer-layer structures as the impedance matching layer to optimize the antenna performance when operating underwater. The path loss for narrowband signal was modeled using a multi-layer propagation equation in lossy medium considering losses at the medium boundaries. For the case of the wideband signal, a modified version of the model introducing power integration over bandwidth is adopted. These models were formulated through numerical simulations and verified by measurements. Findings The measured narrowband path loss marked an 80 dB attenuation using 800 MHz at 2 m distance. The proposed narrowband model agrees well with the measurements, with approximately 3 dB modeling error. Utilization of the proposed wideband path loss model resulted in a reduction of the gradient of the path loss curve compared to the case of the narrowband signal. The measured wideband path loss at 2 m distance underwater was approximately -65 dB, which has been shown to enable a working signal-to-noise ratio of 15 dB. This proves the potential of realizing high data rate transmission using the wideband signal. Originality/value The paper proposed a wideband propagation model for an underwater EMW sensor network, using power integration over bandwidth. The effectiveness of using wideband EMW signals in reducing path loss is highlighted, which is seldom discussed in the literature. This result will be of useful reference for using wideband signals in designing a high data rate transmission system in underwater wireless sensor networks, for example, in link budget, performance estimation and parameter design of suitable transmission scheme.
引用
收藏
页码:125 / 132
页数:8
相关论文
共 50 条
  • [41] Path loss of signal transmission for 2.4-ghz wireless sensor network in a peach orchard
    Wang, Yi
    Han, Wenting
    Zhu, Bingqin
    Shao, Guomin
    Zhao, Yuting
    Zhang, Haixin
    Yuan, Mengchan
    International Agricultural Engineering Journal, 2020, 29 (01): : 331 - 339
  • [42] RADIO PATH-LOSS MODELING FOR A 2.4 GHz IN-FIELD WIRELESS SENSOR NETWORK
    Li, Z.
    Wang, N.
    Hong, T.
    TRANSACTIONS OF THE ASABE, 2010, 53 (02) : 615 - 624
  • [43] Experimental Wireless Ultra Wideband Sensor Network for Data Collection
    Volvenko, Sergey V.
    Ge, Dong
    Zavjalov, Sergey V.
    Gruzdev, Alexander S.
    Rashich, Andrey V.
    Svechnikov, Evgeniy L.
    2017 PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM - SPRING (PIERS), 2017, : 965 - 970
  • [44] The Expected Path with Diameter Constraint in Wireless Sensor Network
    Wang, Huan
    Li, Jianbo
    Shao, Fangming
    Fan, Lijun
    Wang, Zhiying
    Lin, Wei
    2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATIONS (ICCC), 2015, : 379 - 383
  • [45] A Prototype of a Wireless Sensor Network for Robotic Path Construction
    Amaro, Jose
    Caldeira, Joao M. L. P.
    Soares, Vasco N. G. J.
    de la Torre Diez, Isabel
    Galan-Jimenez, Jaime
    2020 15TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI'2020), 2020,
  • [46] On precise path planning algorithm in wireless sensor network
    Khan, Samiullah
    Javed, Farhanda
    Khan, Asfandyar
    Javed, Alweena
    Tariq, Rohi
    Matiullah
    Khan, Faheem
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2018, 14 (07)
  • [47] A The Path Transmission Mechanism of Wireless Sensor Network Research
    Yang Xingjiang
    Zhang Xu
    INTERNATIONAL JOURNAL OF FUTURE GENERATION COMMUNICATION AND NETWORKING, 2014, 7 (03): : 1 - 12
  • [48] Charging path optimization for wireless rechargeable sensor network
    Qian Wang
    Zhihua Cui
    Lifang Wang
    Peer-to-Peer Networking and Applications, 2021, 14 : 497 - 506
  • [49] Charging path optimization for wireless rechargeable sensor network
    Wang, Qian
    Cui, Zhihua
    Wang, Lifang
    PEER-TO-PEER NETWORKING AND APPLICATIONS, 2021, 14 (02) : 497 - 506
  • [50] Energy optimization in path arbitrary wireless sensor network
    Goud, B. Harish
    Shankar, T. N.
    Sah, Basant
    Aluvalu, Rajanikanth
    EXPERT SYSTEMS, 2024, 41 (02)