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

在无线传感器网络中，由于关键的资源限制，优化资源利用率以实现可靠的通信是非常重要的。其中一个主要的挑战是开发一种可扩展和分布式的方法来识别资源短缺和冗余，并在局部区域内控制相应的调度/平衡活动，即一个具有成本效益的最大化-最小问题的本地化解决方案。本课题的重点是对网络覆盖和连接的赤字和冗余进行管理，以解决无线传感器网络中的漏洞问题。该研究在每个传感器节点的局部视图中提供了对网络拓扑的全面理解，以及对网络配置的局部描述，用于覆盖和连通性的资源。因此，可以将全局配置推断到每个局部描述中。因此，可以在将所有动作保持在有限区域内的情况下实现全局优化。研究人员找到了一种新的路由方案，避免了孔洞造成的资源短缺的影响，提供了一个具有同步和冲突控制的孔洞修复过程，并将所有结果从二维网络扩展到三维网络，从均匀磁盘通信范围模型扩展到现实模型。该研究为节能、安全通信建立与管理、容延迟移动网络数据传输、节点协作等领域的高效资源管理提供了新的方向。这可能会使无线传感器网络更经济实惠，并适用于商业、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.