CAREER: Collaborative Communication and Storage for Sensor Networks in Challenging Environments

研究方向：挑战性环境下传感器网络的协同通信和存储。该项目涉及挑战性（如极端）环境下传感器网络的可持续性和可靠性。在挑战传感器网络中，可能永远不存在可预测的稳定路径，网络连接是间歇性的，节点可能突然出现或消失。罕见的上传机会和不可预测的节点中断通常会导致数据丢失。不可预测的网络中断使传统的通信协议效率低下，需要一种新的设计范式来应对网络中断并保持可靠的运行。该项目的驱动研究思想是协作通信和存储——一种集成的方法，协作配置资源以增加中断弹性、数据持久性和网络生命周期，并捕获数据交付的波动连接。本项目的预期成果是：(1)具有挑战性环境下传感器网络的创新架构原理、算法和协议、设计和评估方法；(2)集成协作通信和存储中间件的设计和实现，以及在相关环境下运行的原型传感器网络系统；(3)本科和研究生研究和课程的课程和测试平台的改进。以及针对K-12学生、少数民族和当地社区的教育推广活动。该项目将极大地促进传感器网络在具有挑战性的环境中的自信使用，并实现新的应用和经济效益。该项目的成果将通过国际会议、期刊、媒体以及学科内和跨学科合作广泛传播给学术界和工业界。

CAREER: Collaborative Communication and Storage for Sensor Networks inChallenging EnvironmentsNSF Proposal ID: 0953067PI: WenZhan SongThis project concerns the sustainability and reliability of sensor networks in challenging (e.g., extreme) environments. In a challenged sensor network, a predictable and stable path may never exist, the network connectivity is intermittent, and a node could suddenly appear or disappear. The rare upload opportunity and unpredictable node disruptions often result in data loss. The unpredictable network disruptions make the traditional communication protocols inefficient and require a new design paradigm to combat network disruptions and maintain reliable operations. The driven research idea of this project is collaborative communication and storage - an integrated approach which cooperatively configures resources to increase disruption resilience, data persistence and network lifetime, and capture the fluctuating connectivity for data delivery. The expected outcomes of this project are (1) the innovative architecture principles, algorithms and protocols, design and evaluation methodologies for sensor networks in challenging environments, (2) the design and implementation of an integrated collaborative communication and storage middleware, and the running prototype sensor network systems in relevant environments, and (3) the curriculum and test bed enhancement for undergraduate and graduate research and courses, and educational outreach activities to K-12 students, minority groups and local communities. This project will greatly promote the confident use of sensor networks in challenging environments and enable new applications and economics. The outcomes of this project will be broadly disseminated to academic and industrial communities through international conferences, journals, media and intra-disciplinary and inter-disciplinary collaborations.