SGER: TF:SING - A New Method for Resource Management in Wireless Sensor Networks

在无线传感器网络中，由于资源的限制，如何优化资源的利用率以保证可靠的通信是非常重要的。主要挑战之一是开发一种可扩展的分布式方法来识别资源不足和冗余，并控制本地区域内的相应调度/平衡活动，即，一个经济有效的局部化解决方案的最大-最小问题。这个项目的重点是管理赤字和冗余的网络覆盖和连接，以解决空洞问题的无线传感器网络。该研究提供了一个全面的了解网络拓扑结构的本地视图中的每个传感器节点以及本地描述的网络配置的资源的覆盖和连接。 因此，可以将全局配置推断到每个局部描述中。因此，可以实现全局优化，同时保持所有的行动在一个有限的区域。研究者提出了一种新的路由方案，避免了空洞造成的资源不足的影响，提出了一种具有同步和冲突控制的空洞修复过程，并将所有结果从二维网络推广到三维网络，从均匀磁盘通信范围模型推广到现实模型。这项研究导致了新的方向，在有效的资源管理领域的能源节约，安全的通信建立和管理，延迟容忍移动的网络中的数据传输，和节点协作。它可能使无线传感器网络更便宜，更适合商业，民用和军事应用。

Due to the critical resource constraints, it is important to provide an optimization of utilization of the deployed resource for reliable communication in wireless sensor networks (WSNs). One of the main challenges is developing a scalable and distributed method to identify the resource deficit and redundancy and to control the corresponding scheduling/balancing activities within local area, i.e., a cost-effective localized solution for max-min problem.This project focuses on the management of the deficit and the redundancy of network coverage and connectivity to solve the hole problem in WSNs. The research provides a comprehensive understanding of network topology in the local view of each sensor node as well as a local description of the network configuration for the resource of the coverage and connectivity. As a result, the global configuration can be inferred into each local description. Therefore, the global optimization can be achieved while keeping all the actions into a limited area. The investigator finds a new routing scheme to avoid the effect of resource deficit caused by holes, provides a hole-repair process with synchronization and conflict control, and extends all the results from 2-D networks to 3-D networks and from uniform disk communication range model to realistic model. This research leads to new directions in efficient resource management in the fields of energy conservation, secured communication establishment and management, data delivery in delay tolerant mobile networks, and node collaboration. It is likely to make WSNs more affordable and amenable to commercial, civilian, and military applications.