NeTS-NOSS: Controllable Node Mobility for Mission-Oriented Sensor Networks

传统的传感器网络在支持多任务或网络条件变化时存在局限性。移动的传感器可用于解决这些问题，因为移动性可通过使传感器网络对故障具有弹性、对事件作出反应并且能够用一组共同的传感器支持不同的任务来显著地增加传感器网络的能力。为了支持传感器网络中的移动性，本项目研究了移动性辅助传感，网络监控，移动性辅助路由，以及传感和路由的综合移动性管理等方面的各种研究问题。该项目的预期成果是：（i）在支持传感器网络中的移动性方面取得重大理论和技术进展;（ii）理解设计和实施传感器重新定位协议时的各种性能和功率权衡;（iii）开发网络监测协议、覆盖空洞估计和故障影响估计协议;（iv）在移动性辅助路由方面取得理论进展;（iv）在网络安全方面取得进展。以及（v）了解传感和路由如何相互作用，以及如何满足不同的使命要求并最大化网络能力。该项目的成功可能会产生更广泛的影响，使传感器网络更负担得起，更适合商业，民用和军事应用。该项目的成果将通过高质量的出版物、讲座以及与行业团队的互动来广泛及时地传播。该项目还通过开发关于传感器和特设网络的新课程，与宾夕法尼亚州立大学的教育课程紧密结合。

Traditional sensor networks have limitations when applied to support multiple missions or when the network conditions change. Mobile sensors can be used to address these problems as mobility can significantly increase the capability of the sensor network by making it resilient to failures, reactive to events, and be able to support disparate missions with a common set of sensors. To support mobility in sensor networks, this project investigates various research issues in mobility assisted sensing, network monitoring, mobility assisted routing, and integrated mobility management for sensing and routing. The expected results from this project are: (i) Significant theoretical and technical advances in supporting mobility in sensor networks; (ii) Understanding various performance and power tradeoffs in designing and implementing sensor relocation protocols; (iii) Development of network monitoring protocols, coverage hole estimation and failure effect estimation protocols; (iv) Theoretical advances on mobility assisted routing; and (v) Understanding of how sensing and routing interact and how to satisfy different mission requirements and maximize the network capability. The success of this project is likely to have a broader impact on making sensor networks more affordable and amenable to commercial, civilian, and military applications. The results of the project will be disseminated widely and in a timely manner through high quality publications, talks, and interactions with industrial teams. The project is also closely integrated with the education curricula at Penn State by developing new courses on sensor and ad hoc networks.