NeTS: Small: Collaborative Research: Undersea Sensor Networks for Intrusion Detection: Foundations and Practice

NeTS：小型：协作研究：用于入侵检测的海底传感器网络：基础与实践

• 批准号: 1018303
• 负责人: Jie Wang
• 金额: $ 25万
• 依托单位: University of Massachusetts Lowell
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1018303&HistoricalAwards=false
• 关键词: NeTS; Small; Collaborative; Research; Undersea

Current technologies have made it possible for submarines to evade standard sonar detection. Finding solutions to detect intruding submarines therefore becomes important and timely. A viable approach is to deploy magnetic or acoustic sensors in close proximity of possible underwater pathways intruders may pass through. This project seeks to develop a comprehensive theoretical and practical solution to construct undersea sensor networks for intrusion detection. When sensors are randomly deployed, spatial barriers are unlikely to exist, allowing intruders to pass through the bounded 3D space undetected. This motivates the use of mobile sensors to dynamically form sensor barriers. How to minimize the energy consumed by the movement of underwater sensors is a challenging issue. This project tackles the problem via three thrusts: (1) Develop an energy-efficient approach to using mobile sensors to construct a spatial barrier in 3D space; (2) Devise near-optimal practical solutions to reduce computation and communication costs, and develop these algorithms into practical protocols; and (3) Develop simulation modules and test-beds to evaluate the proposed solutions with realistic undersea environment parameters. The project integrates concepts and techniques in auction algorithms, geometry, combinatorial optimization, underwater acoustic communications and networking, software and system development to construct analytical models and practical solutions. The research results are expected to have a substantial impact on the understanding of constructing sensing barriers in underwater environments, and will be integrated into graduate and undergraduate teaching and outreach activities. Efforts will be also proactively pursued to recruit students from under-represented groups to participate in the project.

目前的技术使潜艇有可能逃避标准的声纳探测。因此，找到探测入侵潜艇的解决方案变得重要而及时。一个可行的办法是在入侵者可能通过的水下通道附近部署磁或声传感器。本项目旨在为构建用于入侵检测的海底传感器网络提供全面的理论和实践解决方案。当传感器随机部署时，空间障碍不太可能存在，从而允许入侵者通过有界的3D空间而不被发现。这促使使用移动的传感器来动态地形成传感器屏障。如何使水下传感器运动所消耗的能量最小化是一个具有挑战性的问题。该项目通过三个方面解决这个问题：（1）开发一种节能的方法，使用移动的传感器在3D空间中构建空间障碍;（2）设计接近最佳的实用解决方案，以减少计算和通信成本，并将这些算法开发成实用协议;（3）开发模拟模块和测试台，以评估所提出的解决方案与现实的海底环境参数。该项目综合了拍卖算法、几何学、组合优化、水声通信和网络、软件和系统开发等方面的概念和技术，以构建分析模型和实际解决方案。研究结果预计将对水下环境中构建传感屏障的理解产生重大影响，并将融入研究生和本科生的教学和推广活动。此外，亦会积极招募代表性不足的学生参与计划。