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

SGER：TF:SING - 无线传感器网络资源管理的新方法

• 批准号: 0840891
• 负责人: Zhen Jiang
• 金额: --
• 依托单位: West Chester University of Pennsylvania
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2010-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0840891&HistoricalAwards=false
• 关键词: SGER; TF; SING; New; Method

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.

由于资源的关键限制，重要的是要优化在无线传感器网络（WSN）中可靠通信的部署资源的利用率。主要挑战之一是开发一种可扩展和分布式的方法来确定资源赤字和冗余，并控制当地区域内的相应调度/平衡活动，即用于Max-Min问题的成本效益的本地化解决方案。赤字的管理和网络覆盖范围和连接性的冗余，以解决WSN中的孔问题。该研究在每个传感器节点的本地视图中提供了对网络拓扑的全面理解，以及对覆盖范围和连接资源的网络配置的本地描述。 结果，可以推断每个本地描述中的全局配置。因此，可以在将所有动作保持在有限的领域的同时，实现全球优化。调查人员找到了一种新的路由方案，以避免孔造成的资源不足的影响，提供具有同步和冲突控制的漏洞修复过程，并将所有结果从2-D网络扩展到3-D网络以及均匀的磁盘通信范围模型到现实模型。这项研究导致了在节能领域，有安全的通信建立和管理，延迟耐受移动网络的数据传递以及节点协作中的有效资源管理方向的新方向。它很可能使WSN更加负担得起，并且可以适应商业，平民和军事应用。