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

计算机科学 软件部署 节点(物理) 水下 数据收集 计算机网络 互联网 无线传感器网络 电信 万维网 工程类 结构工程 数学 统计 海洋学 操作系统 地质学
作者
Monika Chaudhary,Nitin Goyal,Abderrahim Benslimane,Lalit Kumar Awasthi,Ayed Alwadain,Aman Singh
出处
期刊:IEEE Internet of Things Journal [Institute of Electrical and Electronics Engineers]
卷期号:10 (4): 3500-3524 被引量:10
标识
DOI:10.1109/jiot.2022.3218766
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
顾矜应助可可西里采纳,获得10
刚刚
刘青铜发布了新的文献求助10
1秒前
HAO发布了新的文献求助10
4秒前
Akim应助自由的傲易采纳,获得10
4秒前
ding应助自由的傲易采纳,获得10
4秒前
bc应助自由的傲易采纳,获得30
4秒前
4秒前
余味应助自由的傲易采纳,获得10
4秒前
MchemG应助自由的傲易采纳,获得10
4秒前
pluto应助自由的傲易采纳,获得10
4秒前
上官若男应助自由的傲易采纳,获得10
4秒前
我是老大应助自由的傲易采纳,获得10
4秒前
Ava应助自由的傲易采纳,获得10
4秒前
jenningseastera应助Hzk_采纳,获得10
5秒前
8秒前
田様应助HAO采纳,获得10
8秒前
9秒前
9秒前
lizhiqian2024发布了新的文献求助50
9秒前
大马猴发布了新的文献求助10
10秒前
10秒前
liugm发布了新的文献求助10
11秒前
Xiaoqiu完成签到 ,获得积分10
11秒前
iuun完成签到,获得积分20
12秒前
wuyu发布了新的文献求助10
12秒前
13秒前
ni完成签到 ,获得积分10
13秒前
pluto应助自由的傲易采纳,获得10
14秒前
午见千山应助自由的傲易采纳,获得10
14秒前
英俊的铭应助自由的傲易采纳,获得10
14秒前
研友_VZG7GZ应助自由的傲易采纳,获得10
14秒前
puhu应助自由的傲易采纳,获得10
14秒前
汉堡包应助自由的傲易采纳,获得10
14秒前
所所应助自由的傲易采纳,获得10
14秒前
ding应助自由的傲易采纳,获得10
14秒前
14秒前
李爱国应助自由的傲易采纳,获得10
14秒前
wyc完成签到,获得积分10
14秒前
一念初见发布了新的文献求助10
14秒前
稳重的小刺猬完成签到,获得积分10
15秒前
高分求助中
Les Mantodea de Guyane Insecta, Polyneoptera 2500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
Technologies supporting mass customization of apparel: A pilot project 450
A China diary: Peking 400
Brain and Heart The Triumphs and Struggles of a Pediatric Neurosurgeon 400
Cybersecurity Blueprint – Transitioning to Tech 400
Mixing the elements of mass customisation 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3784148
求助须知:如何正确求助?哪些是违规求助? 3329252
关于积分的说明 10241071
捐赠科研通 3044752
什么是DOI,文献DOI怎么找? 1671305
邀请新用户注册赠送积分活动 800215
科研通“疑难数据库(出版商)”最低求助积分说明 759268