Fuzzy Logic Depth Based Energy Aware Routing Protocol for Underwater Acoustic Sensor Network: FLDEAR

被引:0
作者
Natesan, Sathish Kumar [1 ]
Krishnan, Raja Kumar [1 ]
机构
[1] Vellore Inst Technol, Sch Comp Sci & Engn, Vellore, Tamil Nadu, India
关键词
Depth based routing; fuzzy logic; energy; fuzzy depth-based routing; underwater acoustic sensor network; LOCALIZATION;
D O I
10.1142/S0219649221400025
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
The Underwater Acoustic Sensor Network (UASN) plays a dynamic role in various application extents like surveillance, military, terrestrial networks and industrial application. In UASN, each Underwater Sensor Node (USN) is deployed in many places. The multiple paths are always used for transmitting data from USN to the Sink Node (SN). Each sensor constitutes a set of small devices and a small battery. If data is received from multiple nodes at the same time then, there is a chance for a collision and also it will bring down network lifetime. In recent years, only a few research works are done in fuzzy based routing in UASN. For increasing the network's lifetime, there is always a need for an optimum routing path in UASN with improved parameters related to propagation delay, energy and throughput. The present paper proposes the Fuzzy Logic Depth based Energy-Aware Routing (FLDEAR) path in UASN. A static USN was utilized in the proposed system. Each USN is assigned a Priority Number (PN) by the SN. The PN is used for avoiding collision in the proposed model. The simulation is conducted employing Aqua-Sim (AS) which is based on Network Simulator-2(NS2). The simulation results illustrate that this system outperforms the existing routing protocol such as protocols of Energy Efficient Cooperative Opportunistic Routing (EECOR), Fuzzy Depth Based Routing (FDBR) and Depth Based Routing (DBR) in terms of improved parameters related to energy, propagation delay and throughput. Finally, the lifetime of UASN is improved by 70-80% by the implementation of the proposed FLDEAR protocol.
引用
收藏
页数:24
相关论文
共 22 条
[1]   Balanced Load Distribution With Energy Hole Avoidance in Underwater WSNs [J].
Azam, Irfan ;
Javaid, Nadeem ;
Ahmad, Ashfaq ;
Abdul, Wadood ;
Almogren, Ahmad ;
Alamri, Atif .
IEEE ACCESS, 2017, 5 :15206-15221
[2]   Joint Routing and Energy Management in UnderWater Acoustic Sensor Networks [J].
Bouabdallah, Fatma ;
Zidi, Chaima ;
Boutaba, Raouf .
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2017, 14 (02) :456-486
[3]   Geographic and Opportunistic Routing for Underwater Sensor Networks [J].
Coutinho, Rodolfo W. L. ;
Boukerche, Azzedine ;
Vieira, Luiz F. M. ;
Loureiro, Antonio A. F. .
IEEE TRANSACTIONS ON COMPUTERS, 2016, 65 (02) :548-561
[4]   Distance-Vector-Based Opportunistic Routing for Underwater Acoustic Sensor Networks [J].
Guan, Quansheng ;
Ji, Fei ;
Liu, Yun ;
Yu, Hua ;
Chen, Weiqi .
IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (02) :3831-3839
[5]   Impacts of Deployment Strategies on Localization Performance in Underwater Acoustic Sensor Networks [J].
Han, Guangjie ;
Zhang, Chenyu ;
Shu, Lei ;
Rodrigues, Joel J. P. C. .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 62 (03) :1725-1733
[6]   Integrating Localization and Energy-Awareness: A Novel Geographic Routing Protocol for Underwater Wireless Sensor Networks [J].
Hao, Kun ;
Shen, Haifeng ;
Liu, Yonglei ;
Wang, Beibei ;
Du, Xiujuan .
MOBILE NETWORKS & APPLICATIONS, 2018, 23 (05) :1427-1435
[7]   Channel-Aware Cooperative Routing in Underwater Acoustic Sensor Networks [J].
Hoa Tran-Dang ;
Kim, Dong-Seong .
JOURNAL OF COMMUNICATIONS AND NETWORKS, 2019, 21 (01) :33-44
[8]   Delay-Sensitive Opportunistic Routing for Underwater Sensor Networks [J].
Hsu, Chih-Cheng ;
Liu, Hsiang-Hung ;
Garcia Gomez, Jose Luis ;
Chou, Cheng-Fu .
IEEE SENSORS JOURNAL, 2015, 15 (11) :6584-6591
[9]   An Evidence Theory Based Opportunistic Routing Protocol for Underwater Acoustic Sensor Networks [J].
Jin, Zhigang ;
Ji, Zhihua ;
Su, Yishan .
IEEE ACCESS, 2018, 6 :71038-71047
[10]   Radius-based multipath courier node routing protocol for acoustic communications [J].
Khalid, Muhammad ;
Cao, Yue ;
Ahmad, Naveed ;
Khalid, Waqer ;
Dhawankar, Piyush .
IET WIRELESS SENSOR SYSTEMS, 2018, 8 (04) :183-189