Adaptive Protocols for Mobile Ad Hoc Networks

该提案涉及允许各种单播、多播、地理广播和基于位置的移动自组织路由协议适应的方法的开发。它具体解决了与通过特定的度量来量化移动性相关的自组织路由协议设计，特别是移动性，用于解决各种路由任务。在这个为期三年的项目中，将特别开展以下研究活动。研究团队将致力于开发特定于单个节点的本地移动性指标。为此，将开发驻留在移动节点上的通用反馈代理，其收集计算移动性度量值所需的信息，并将该信息呈现给任意类型的协议。在各种网络条件下的仿真研究将被用来确定主动和被动监测之间的适当权衡，以及用于估计节点速度、链路变化率、链路持续时间等度量的最佳采样时间。项目活动还将包括利用反馈代理开发示例自适应路由协议。例如，研究团队将探索一种协议，该协议将基于位置的路由与局部泛洪相结合，以努力在网络移动性极高时(链路持续时间较短)实现成功的分组传输。最后，将考虑开发更符合实际的新的移动模型。例如，将研究节点速度在网络的不同部分之间变化的网络，例如对于移动性动态在整个网络中变化很大的区域的情况。除了上述活动外，研究小组还计划解决各种其他指标，如链路变化率以及被动和主动流量监测指标。

This proposal concerns the development of methods to allow a variety of uni-cast, multicast, geocast and location-based mobile ad-hoc routing protocols to adapt. It addresses specifically the ad-hoc routing protocol design related to quantification of the mobility by specific metrics, in particular mobility, which are used to solve various routing tasks. In this three-year project, the following research activities will be particularly pursued. The research team will address the development of local mobility metrics that are specific to individual nodes. For that purpose, a generic feedback agent that resides on a mobile node will be developed, which gathers the information required to compute the value of the mobility metrics, and present the information to an arbitrary type of protocol. The simulation studies under a wide variety of network conditions will be con-ducted to determine appropriate trade-offs between active and passive monitor-ing and optimal sampling times for estimating metrics such as node speed, link change rate, link duration, etc. The project activities will also include the devel-opment of example adaptive routing protocols utilizing the feedback agent. For example, the research team will explore a protocol that will combine location-based routing with localized flooding in an effort to enable successful packet delivery in times of extreme network mobility (low link duration times). Finally, the development of new mobility models that are more realistic will be consid-ered. For example, the networks in which node speeds vary among different parts of the network will be studied, e.g. for the case of regions where the mobil-ity dynamics vary widely throughout the network. In addition to the above ac-tivities the research team also plans to address a variety of other metrics such as link change rate and passive and active traffic monitoring metrics.