Collaborative Research: NeTS-NOSS: Networking the Digital Ocean

P.I. Mtira，Urbashi（USC）提案编号：0520324合作机构：Presig（WHOI）提案编号：0519903合作机构：Fall（Intel）提案编号：0520040合作机构：Stojanovic（MIT）提案编号：0520075项目标题：NetS-NOSS：数字海洋网络化项目摘要天文台的科学工作将在很大程度上依赖于仪器、车辆、操作员、平台各种类型的传感器。这些活动将需要仪器、传感器、机器人和车辆的综合网络，以形成一个“数字海洋”。“通过传播声学信号进行水下通信是海洋中可靠和通用无线通信的最佳选择。近年来，在许多类型的海洋环境中建立物理层点对点链路方面取得了重大进展。然而，开发适合于海洋环境的挑战性特征的高层技术在很大程度上仍然是未开发的领域。通过水声通信实现“数字海洋”的网络化仍然是实现海洋全面网络化的一个巨大技术障碍。水下声学调制解调器和网络设计者要克服的挑战包括：严重有限的范围相关的带宽和衰减，广泛的时变多径传播，以及在水中的声音传播速度低，导致长的传播延迟。对于传感器网络部署，这些功能意味着，异步和自适应网络必须考虑，典型的介质访问控制将是不可行的，确定性算法可能是不可行的，由于水下网络的随机性，和链路质量预测和估计将是至关重要的，以提供所需的服务质量。最后，距离相关的带宽意味着从容量分析到媒体访问控制的一切都必须在这些新的约束下重新开发。地面传感器网络的特点是节点密度高、存在大量潜在相关的传感数据、系统资源受限、不确定性来源多。水下传感器网络具有更强的局限性。为了实现水下传感器网络的目标，PI建议研究以下内容：网络拓扑优化和估计、信道能量感知路由、延迟/中断容忍水下网络、集成水下信道特性的跨层设计、水声信道对标度律和基本限制的影响、水声网络系统概念的实验验证

P.I. Mtira, Urbashi (USC) Proposal #: 0520324Collaborating Institution: Presig (WHOI) Proposal #: 0519903Collaborating Institution: Fall (Intel) Proposal #: 0520040Collaborating Institution: Stojanovic (MIT) Proposal #: 0520075PROJECT TITLE: NeTS-NOSS: Networking the Digital OceanProject SummaryObservatory science efforts will rely heavily on the ability to communicate reliably between instruments, vehicles, operators, platforms, and sensors of all types. These activities will require integrated networks of instruments, sensors, robots, and vehicles to cooperate forming a "digital ocean." Underwater communication via propagating acoustic signals holds the best promise for reliable and general purpose wireless communications in the ocean. Significant advances have been made in recent years to establish physical layer point-to-point links in many types of ocean environments. Yet, the development of higher layer techniques suitable for the challenging characteristics of the ocean environment remains largely unexplored territory. Networking the "digital ocean" via underwater acoustic communications remains one of the formidable technical obstacles to the a fully networked ocean. Challenges to be overcome by underwater acoustic modem and network designers include: severely limited range-dependent bandwidth and attenuation, extensive time-varying multipath propagation, and low speed of sound propagation in water resulting in long propagation delays. For sensor network deployment, these features imply that asynchronous and adaptive networking must be considered, typical medium access control will not be feasible, deterministic algorithms may not be feasible due to the stochastic nature of underwater networks, and link quality prediction and estimation will be paramount to delivering the desired quality of service. Finally, distance-dependent bandwidth implies that everything from capacity analysis to medium access control must be redeveloped under these new constraints. Terrestrial sensor networks are typically distinguished by high node density, large amounts of potentially correlated sensed data, stringent limitations on system resources, and multiple sources of uncertainty. Underwater sensor networks have even stronger limitations. To achieve the goals of an undersea sensor network, the PIs propose to study the following: network topology optimization and estimation, channel & energy-aware routing, delay/disruption tolerant underwater networking, cross-layer designs which integrate underwater channel characteristics, impact of the underwater acoustic channel on scaling laws and fundamental limits, experimental validation of system concepts for underwater acoustic networking