An Efficient Deployment Scheme With Network Performance Modeling for Underwater Wireless Sensor Networks

被引:14
作者
Xu, Cangzhu [1 ]
Song, Shanshan [1 ]
Liu, Jun [2 ]
Xu, Yuanbo [1 ]
Che, Shouheng [1 ]
Lin, Bin [3 ]
Xu, Gaochao [1 ]
机构
[1] Jilin Univ, Dept Comp Sci & Technol, Changchun 130012, Peoples R China
[2] Beihang Univ, Sch Elect & Informat Engn, Beijing 100191, Peoples R China
[3] Dalian Maritime Univ, Coll Informat Sci & Technol, Dalian 116026, Liaoning, Peoples R China
来源
IEEE INTERNET OF THINGS JOURNAL | 2024年 / 11卷 / 05期
基金
中国国家自然科学基金;
关键词
Reliability; Sensors; Optimization; Underwater acoustics; Three-dimensional displays; Network topology; Internet of Things; Network deployment; performance evaluation model; performance optimization; underwater wireless sensor networks (UWSNs); COVERAGE; CONNECTIVITY; ALGORITHM;
D O I
10.1109/JIOT.2023.3318222
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A high-performance network deployment strategy supports fundamental network services, such as topology controls, protocol designs, and boundary detections in underwater wireless sensor networks (UWSNs). Existing deployment methods treat nodes within the communication range as connected. However, in addition to internode distance, packet errors and collisions are also significant factors for point-to-point connectivity. Furthermore, when allocating node locations, deployment strategies focus on maximizing coverage, ignoring the trade-off between coverage and network performance (reliability, latency, and energy efficiency). To this end, an efficient deployment scheme with network performance modeling (EDNPM) is proposed, to provide reliable data transmission in a time-aware and energy-efficient way for UWSNs. Specifically, we first explore sensor locations' impact on communication and network factors, to improve the point-to-point connectivity and network performance. A network performance evaluation model (NPEM) is established to quantify performance metrics for guiding network deployment. Based on NPEM, network deployment is formulated as a multiobjective optimization problem, and we propose a novel network connection-constraint particle swarm optimization (NCPSO) algorithm to solve this problem. Notably, EDNPM is a unified network deployment framework for various underwater applications. Extensive experiments demonstrate that EDNPM outperforms other deployment algorithms in terms of network performance, and robustness with different network settings.
引用
收藏
页码:8345 / 8359
页数:15
相关论文
共 45 条
[1]   ACMENet:: an underwater acoustic sensor network protocol for real-time environmental monitoring in coastal areas [J].
Acar, G. ;
Adams, A. E. .
IEE PROCEEDINGS-RADAR SONAR AND NAVIGATION, 2006, 153 (04) :365-380
[2]   Self-deployment of sensors for maximized coverage in underwater acoustic sensor networks [J].
Akkaya, Kemal ;
Newell, Andrew .
COMPUTER COMMUNICATIONS, 2009, 32 (7-10) :1233-1244
[3]  
Akyildiz I. F., 2005, Ad Hoc Networks, V3, P257, DOI 10.1016/j.adhoc.2005.01.004
[4]  
Akyildiz I.F., 2006, UNDERWATER NETWORKS, P7, DOI DOI 10.1145/1161039.1161043
[5]   Coverage and connectivity in three-dimensional underwater sensor networks [J].
Alam, S. M. Nazrul ;
Haas, Zygmunt J. .
WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2008, 8 (08) :995-1009
[6]   Coverage and connectivity in three-dimensional networks with random node deployment [J].
Alam, S. M. Nazrul ;
Haas, Zygmunt J. .
AD HOC NETWORKS, 2015, 34 :157-169
[7]  
Brekhovskikh L. M., 1998, J. Acoust. Soc. America, V90, P566
[8]  
Cui Jun-Hong., 2005, CHALLENGES BUILDING
[9]  
Domingo M. C, 2010, P 2 IFIP WIR DAYS WD, P1
[10]   A time-varying acoustic channel-aware topology control mechanism for cooperative underwater sonar detection network [J].
Fan, Rong ;
Jin, Zhigang ;
Yang, Wenhao ;
Yang, Sidan ;
Su, Yishan .
AD HOC NETWORKS, 2023, 149