uw-WiFi: Small-Scale Data Collection Network-Based Underwater Internet of Things

Author:

Zhu Jifeng1,Pan Xiaohe1,Peng Zheng2,Liu Mengzhuo1,Guo Jingqian1,Cui Jun-Hong123

Affiliation:

1. College of Computer Science and Technology, Jilin University, Changchun 130012, China

2. Shenzhen Institute for Advanced Study, UESTC, Shenzhen 518110, China

3. Smart Ocean Technology Co., Ltd., Shenzhen 518110, China

Abstract

The establishment of the Underwater Internet of Things (UIoT) and the realization of interconnection between heterogeneous underwater intelligent devices are urgent global challenges. Underwater acoustic networking is the most suitable technology to achieve UIoT for medium to long ranges. This paper presents an underwater Wi-Fi network, called uw-WiFi, that utilizes a master–slave mode architecture. uw-WiFi is dedicated to solving the problem of underwater acoustic networking with limited coverage range and number of nodes. To ensure the reliability of different types of data in the network, a reliable segmentation transmission protocol based on data type is designed. Additionally, on-demand scheduling based on the reservation MAC protocol is developed to solve the channel resource sharing problem. The uw-WiFi system has undergone shallow sea tests, and the experimental results demonstrate that the uw-WiFi network is capable of achieving a network throughput of 500 bps or higher, indicating superior network performance.

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Overseas Top Talents Program of Shenzhen

Publisher

MDPI AG

Reference47 articles.

1. Challenges: Building Scalable and Distributed Underwater Wireless Sensor Networks (UWSNs) for Aquatic Applications;Cui;Channels,2005

2. Underwater acoustic sensor networks: Research challenges;Akyildiz;Hoc Netw.,2005

3. Underwater acoustic networks;Sozer;IEEE J. Ocean. Eng.,2000

4. Underwater Sensor Network Applications: A Comprehensive Survey;Felemban;Int. J. Distrib. Sens. Netw.,2015

5. An overview of the Internet of underwater things;Domingo;J. Netw. Comput. Appl.,2012

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