A Routing Protocol of Underwater Cognitive Acoustic Networks for Marine Mammals

doi:10.7652/xjtuxb201702006

您当前的位置：

首页 >

文章列表页 >

A Routing Protocol of Underwater Cognitive Acoustic Networks for Marine Mammals

更新时间：2025-07-09

- A Routing Protocol of Underwater Cognitive Acoustic Networks for Marine Mammals
- Vol. 51, Issue 2, Pages: 33-39(2017)
- 作者机构：
  
  天津大学电气自动化与信息工程学院,天津,300072
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201702006
  CLC： TP393
- Online First：10 February 2017，
  
  Published：2017
- 稿件说明：
移动端阅览
A Routing Protocol of Underwater Cognitive Acoustic Networks for Marine Mammals[J]. 2017, 51(2): 33-39.
DOI：

A Routing Protocol of Underwater Cognitive Acoustic Networks for Marine Mammals[J]. 2017, 51(2): 33-39. DOI： 10.7652/xjtuxb201702006.

摘要

针对海洋生物与传感器节点共用水声信道、生物占用信道使传统水下路由机制失效的问题

提出了水声网络跨层认知决策机制

设计了生物友好的认知水声网络路由协议。该协议将海洋生物作为主用户

确定生物-节点干扰区域

支持信号定向发送并且采用绕路策略避免对海洋生物的干扰。实验结果表明

与经典的矢量转发路由、多跳矢量转发路由等水下路由协议相比

新协议下的数据包投递率分别提高了52.6%和22.5%

节点的能量消耗分别降低了40.4%和56.8%

端到端的延时性能有了较大改善

解决了传统路由机制中仅通过传感器节点间的优化实现最短路由路径而没有考虑生物使建立的路由路径失效的问题。

Abstract

A novel cross-layer cognitive decision mechanism and a related mammal-friendly detour routing protocol for underwater cognitive acoustic networks are proposed to overcome the interference among the marine mammals and the manmade acoustic system

which share the limited acoustic spectrum in ocean. The mammals are considered as the primary user and the interference region of mammals-nodes is determined. The routing protocol is designed to avoid the interference between the sensor nodes and the mammals. Simulation results and comparisons with the existing VBF and HHVBF routing protocols show that the proposed routing protocol increases the packet delivery ratio by 52.6% and 22.5% and reduces the energy consumption of a data packet by 40.4% and 56.8%

respectively. These results indicate that this scheme overcomes the routing failure problem caused by marine mammals' interference.

关键词

Keywords

references

郭忠文, 罗汉江, 洪锋, 等. 水下无线传感器网络的研究进展 [J]. 计算机研究与发展, 2010, 47(3): 377-389.

GUO Zhongwen, LUO Hanjiang, HONG Feng, et al. Current progress and research issues in underwater sensor networks [J]. Journal of Computer Research and Development, 2010, 47(3): 377-389.

HEIDEMANN J, STOJANVIC M, ZORZI M. Underwater sensor networks: applications, advances and challenges [J]. Philosophical Transactions of the Royal Society: A Mathematical, Physical and Engineering Sciences, 2012, 370(1958): 158-175.

LIU J, WANG Z, PENG Z, et al. Suave: swarm underwater autonomous vehicle localization [C]∥Proceedings of the 2014 IEEE Conference on Computer Communications. Piscataway, NJ, USA: IEEE, 2014: 64-72.

LUO Y, PU L, ZUBA M, et al. Challenges and opportunities of underwater cognitive acoustic networks [J]. IEEE Transactions on Emerging Topics in Computing, 2014, 2(2): 198-211.

YAO G, JIN Z, SU Y. An environment-friendly spectrum decision strategy for underwater wireless sensor networks [C]∥Proceedings of the 2015 IEEE International Conference on Signal Processing for Communications. Piscataway, NJ, USA: IEEE, 2015: 6370-6375.

MALIK T S, HASBULAH H B. QoS routing for cognitive radio Ad-Hoc networks: challenges and issues [C]∥Proceedings of the 2014 International Conference on Computer and Information Sciences. Piscataway, NJ, USA: IEEE, 2014: 1-5.

SAIFAN R, KAMAL A E, GUAN Y. A cross-layer routing protocol(CLRP)for cognitive radio network [C]∥Proceedings of the 2013 IEEE Global Communications Conference. Piscataway, NJ, USA: IEEE, 2013: 896-901.

李琳琪, 杨新宇. 一种新型的半固定地理路由 [J]. 西安交通大学学报, 2016, 50(2): 7-12.

LI Linqi, YANG Xinyu. A novel semi-permanent geographic routing [J]. Journal of Xi'an Jiaotong University, 2016, 50(2): 7-12.

XIE P, CUI J H, LAO L. VBF: vector-based forwarding protocol for underwater sensor networks [M]∥Networking. Berlin, Germany: Springer, 2006: 1216-1221.

NICOLAOU N, SEE A, XIE P, et al. Improving the robustness of location-based routing for underwater sensor networks [C]∥Proceedings of the 2007 IEEE International Conference on Oceans. Piscataway, NJ, USA: IEEE, 2007: 1-6.

YAN H, SHI Z J, CUI J H. DBR: depth-based routing for underwater sensor networks [C]∥Proceedings of the 7th International IFIP-TC6 Networking Conference on Ad Hoc and Sensor Networks, Wireless Networks, Next Generation Internet. Berlin, Germany: Springer-Verlag, 2008: 72-86.

ZORZI M, CASARI P. Energy-efficient routing schemes for underwater acoustic networks [J]. IEEE Journal on Selected Areas in Communications, 2008, 26(9): 1754-1766.

JORNRT J M, STOJANOVIC M, ZORZI M. Focused beam routing protocol for underwater acoustic networks [C]∥Proceedings of the 3rd ACM International Workshop on Underwater Networks. New York, USA: ACM, 2008: 75-82.

Underwater Sensor Network Lab. Aqua-Sim [EB/OL].(2014-02-17)[2016-06-27].http:∥obinet.engr. uconn.edu/wiki/index.php/Aqua-Sim.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Sensitivity Analysis of Foil Geometrical Parameters for the Third-Generation CO2 Gas Foil Bearings Based on Design of Experiments Method

Knowledge Graph Representation Learning Driven by Semantic Discrimination and Subgraph Integration

A Structure-Semantics-Residual Collaborative Image Compression Framework：Towards Privacy Protection and High-Fidelity Reconstruction

Review of the Application of EBSILON Software in Combined Heat and Power System Optimization

Numerical Simulation of Heat-Moisture Barrier Performance of a Horizontal Air Curtain in Cold Storage

Related Author

No data

Related Institution

No data

⁰