首页> 外文会议>IEEE International Conference on Mobile Adhoc and Sensor Systems Conference >Mobile network management and robust spatial retreats via network dynamics
【24h】

Mobile network management and robust spatial retreats via network dynamics

机译:通过网络动态移动移动网络管理和强大的空间撤退

获取原文

摘要

The mobility provided by mobile ad hoc and sensor networks will facilitate new mobility-oriented services. Recent work has demonstrated that, for many issues, mobility is advantageous to network operations. This paper proposes that the need for mobility may be captured by formulating the movement of nodes as a classical dynamical system. Motivated by classical mechanics, we propose the notion of network dynamics, where the position and movement of mobile devices evolve according to forces arising from system potential functions that capture the operational goals of the network. We argue that, in the context of moving communicating nodes, the equations of motion should be formulated as a steepest descent minimization of the system potential energy. Further, since global information is not practical in sensor networks, we introduce distributed algorithms that yield more practical implementations of network dynamics. The resulting algorithms are generic, and may be applied to produce balanced network configurations for different initial network deployments. As a second application of network dynamics, we examine the problem of adapting a mobile sensor network to the threat of a jammer. We show that the combination of spatial escape strategies with network dynamics prevents network partitioning that might arise from a mobile jammer.
机译:移动临时和传感器网络提供的移动性将有助于新的移动性服务。最近的工作已经证明,对于许多问题来说,移动性对网络运营有利。本文提出,通过将节点的移动作为经典动态系统,可以捕获对移动性的需求。通过经典力学的动机,我们提出了网络动态的概念,移动设备的位置和移动根据系统潜在函数捕获网络的运行目标而产生的力。我们认为,在移动通信节点的背景下,运动的方程应该被制定为系统势能的陡峭下降最小化。此外,由于传感器网络中的全局信息不实用,因此引入了分布式算法,从而产生了更实用的网络动态实现。得到的算法是通用的,并且可以应用于产生用于不同初始网络部署的平衡网络配置。作为网络动态的第二次应用,我们研究了将移动传感器网络调整到干扰器的威胁的问题。我们表明,具有网络动态的空间转义策略的组合可防止可能从移动干扰器出现的网络分区。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号