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A dynamic surface gateway placement scheme for mobile underwater networks

文献类型：期刊论文

作者Liu J(刘军)5,6; Guan, Wenxue5; Han GJ(韩光洁)1,2,7; Cui, Jun-Hong5; Fiondella, Lance4; Al-Bzoor, Manal3
刊名SENSORS
出版日期2019
卷号19期号:9页码:1-20
关键词underwater wireless sensor networks (UWSNs) dynamic surface gateway placement optimization
ISSN号1424-8220
产权排序1
英文摘要Deployment of surface-level gateways holds potential as an effective method to alleviate high-propagation delays and high-error probability in an underwater wireless sensor network (UWSN). This promise comes from reducing distances to underwater nodes and using radio waves to forward information to a control station. In an UWSN, a dynamic energy efficient surface-level gateway deployment is required to cope with the mobility of underwater nodes while considering the remote and three-dimensional nature of marine space. In general, deployment problems are usually modeled as an optimization problem to satisfy multiple constraints given a set of parameters. One previously published static deployment optimization framework makes assumptions about network workload, routing, medium access control performance, and node mobility. However, in real underwater environments, all these parameters are dynamic. Therefore, the accuracy of performance estimates calculated through static UWSN deployment optimization framework tends to be limited by nature. This paper presents the Prediction-Assisted Dynamic Surface Gateway Placement (PADP) algorithm to maximize the coverage and minimize the average end-to-end delay of a mobile underwater sensor network over a specified period. PADP implements the Interacting Multiple Model (IMM) tracking scheme to predict the positions of sensor nodes. The deployment is determined based on both current and predicted positions of sensor nodes, which enables better coverage and shorter end-to-end delay. PADP uses a branch-and-cut approach to solve the optimization problem efficiently, and employs a disjoint-set data structure to ensure connectivity. Simulation results illustrate that PADP significantly outperforms a static gateway deployment scheme.
WOS关键词WIRELESS SENSOR NETWORKS ; CHALLENGES ; DEPLOYMENT ; ALGORITHM ; COVERAGE
资助项目National Natural Science Foundation of China[61572172] ; National Natural Science Foundation of China[61872124] ; National Natural Science Foundation of China[61631008] ; Fundamental Research Funds for the Central Universities[2017TD-18] ; State Key Laboratory of Robotics[2015-O06] ; Open fund of State Key Laboratory of Acoustics[SKLA201901]
WOS研究方向Chemistry ; Electrochemistry ; Instruments & Instrumentation
语种英语
WOS记录号WOS:000469766800037
资助机构National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities ; State Key Laboratory of Robotics ; Open fund of State Key Laboratory of Acoustics
源URL[http://ir.sia.cn/handle/173321/24720]  
专题沈阳自动化研究所_机器人学研究室
通讯作者Han GJ(韩光洁)
作者单位1.College of Internet of Things Engineering, Hohai University, 200 North Jinling Road, Changzhou 213022, China
2.State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
3.Department of Computer Engineering, Yarmouk University, Irbid 21163, Jordan
4.Department of Electrical and Computer Engineering (ECE), University of Massachusetts, Dartmouth, MA 02747, United States
5.College of Computer Science and Technology, Jilin University, Changchun 130012, China
6.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
7.College of Engineering, Nanjing Agricultural University, Nanjing 210095, China
推荐引用方式
GB/T 7714		 Liu J,Guan, Wenxue,Han GJ,et al. A dynamic surface gateway placement scheme for mobile underwater networks[J]. SENSORS,2019,19(9):1-20.
APA Liu J,Guan, Wenxue,Han GJ,Cui, Jun-Hong,Fiondella, Lance,&Al-Bzoor, Manal.(2019).A dynamic surface gateway placement scheme for mobile underwater networks.SENSORS,19(9),1-20.
MLA Liu J,et al."A dynamic surface gateway placement scheme for mobile underwater networks".SENSORS 19.9(2019):1-20.

入库方式： OAI收割

来源：沈阳自动化研究所

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