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author:

Luo, Haibo (Luo, Haibo.) [1] | Yang, Hong (Yang, Hong.) [2] | Ming, Rui (Ming, Rui.) [3] | Zhang, Jianshan (Zhang, Jianshan.) [4]

Indexed by:

EI Scopus SCIE

Abstract:

The Internet of Things (IoT) is faced with many challenges when deployed in aquatic settings, which include suboptimal signal reception, elevated bit error rates, and significant equipment overhead. Long Range (LoRa) is currently a widely used IoT technique. This study explores an effective LoRa-based ad hoc wireless system for monitoring water environments. We introduce an innovative dipole antenna that is tailored for subaqueous end nodes to substantially amplify wireless communication efficacy between underwater apparatuses and terrestrial units without necessitating increased transmission power. Furthermore, we propose a LoRa-centric ad hoc networking protocol that eliminates the need for specific network servers and dedicated gateways, as mandated by LoRa wide area network guidelines. Experiments reveal that the advanced antenna improves the downlink's received signal strength indicator (RSSI) by an impressive 11.6 dB. When the subaqueous end nodes operate at a submersion depth of 2.2 m, the message interchange success rate increases by more than 44.6%. In an operational experiment including 20 nodes operating over 60 hours, the network's average success rate for message exchanges exceeds 98.5%. Leveraging these dual innovations, we present a scalable, costefficient, and energy-constrained IoT framework for markedly increasing the effectiveness of aquatic environment surveillance and management.

Keyword:

Ad Hoc Network Internet of Things LoRa Printed Circuit Board Antenna Water Environment

Community:

  • [ 1 ] [Luo, Haibo]Minjiang Univ, Coll Comp & Data Sci, Fuzhou, Peoples R China
  • [ 2 ] [Ming, Rui]Minjiang Univ, Coll Comp & Data Sci, Fuzhou, Peoples R China
  • [ 3 ] [Zhang, Jianshan]Minjiang Univ, Coll Comp & Data Sci, Fuzhou, Peoples R China
  • [ 4 ] [Yang, Hong]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou, Peoples R China

Reprint 's Address:

  • [Zhang, Jianshan]Minjiang Univ, Coll Comp & Data Sci, Fuzhou, Peoples R China

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Source :

HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES

Year: 2024

Volume: 14

3 . 9 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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