CAREER: Tackling Fundamental Networking Problems in Underwater Acoustic Sensor Networks

职业：解决水下声学传感器网络中的基本网络问题

• 批准号: 0644190
• 负责人: Jun-Hong (June) Cui
• 金额: $ 40万
• 依托单位: University of Connecticut
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0644190&HistoricalAwards=false
• 关键词: CAREER; Tackling; Fundamental; Networking; Problems

`The ideal vehicle for extensive aquatic monitoring is mobile underwater sensor network (M-UWSN). M-UWSN is significantly different from terrestrial sensor networks: (1) radio channels do not work well under water. They must be replaced by acoustic channels, which feature long propagation delays, low communication bandwidth and a high channel error rate; (2) while most ground sensors are static, underwater sensor nodes may move with water, as introduces passive mobility. Due to the complex environment properties and the unique characteristics of acoustic channels, M-UWSN demands new research at every level of the protocol suite. In this project, we investigate three key networking problems for M-UWSN: multiple access, multi-hop routing and reliable data transfer. For multiple access, we study a reservation-based approach for dense networks and an adaptive protocol for unevenly-distributed networks. For multi-hop routing, we design a scalable geo-routing protocol and improve its robustness by effectively handling routing "holes". For reliable data transfer, we explore both FEC (Forward-Error-Correction) coding and network coding approaches, aiming to enhance network robustness while reduce communication cost. The accomplishment of this research will enable and/or enhance a wide range of aquatic applications in scientific research and national security/defense. The results will include (1) a set of protocols and algorithms for the three networking problems; (2) integrated solutions and user guidelines for different aquatic applications; (3) a simulation platform and real testbeds. The research results will be incorporated into both undergraduate and graduate courses. Both the simulation platform and real testbeds will be accessible to the community.

“移动水下传感器网络（M-UWSN）是广泛进行水生监测的理想工具。M-UWSN与地面传感器网络有显著不同：(1)无线电信道在水下不能很好地工作。它们必须被声道取代，声道具有传播延迟长、通信带宽低和信道误差率高的特点；(2)虽然大多数地面传感器是静态的，但水下传感器节点可能会随着水的移动而移动，这引入了被动移动。由于复杂的环境特性和声信道的独特特性，M-UWSN需要在协议套件的各个级别进行新的研究。在本课题中，我们研究了M-UWSN的三个关键组网问题：多址接入、多跳路由和可靠数据传输。对于多址访问，我们研究了一种基于预约的密集网络访问方法和一种针对非均匀分布网络的自适应协议。对于多跳路由，我们设计了一种可扩展的地理路由协议，并通过有效处理路由“漏洞”来提高其鲁棒性。为了实现可靠的数据传输，我们探索了FEC （Forward-Error-Correction）编码和网络编码两种方法，旨在提高网络的鲁棒性，同时降低通信成本。这项研究的完成将使和/或加强水生生物在科学研究和国家安全/国防中的广泛应用。结果将包括：(1)针对这三个网络问题的一套协议和算法；(2)针对不同水产应用的综合解决方案和用户指南；(3)仿真平台和真实试验台。研究成果将纳入本科和研究生课程。仿真平台和真实的测试平台都将向社区开放。