Mobile network management and robust spatial retreats via network dynamics

Ke Ma, Yanyong Zhang, W. Trappe
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引用次数: 48

Abstract

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
移动网络管理和强大的空间撤退通过网络动态
移动自组织和传感器网络提供的移动性将促进新的面向移动性的服务。最近的工作表明,对于许多问题,移动性有利于网络运营。本文提出,通过将节点的运动表述为一个经典的动力系统,可以捕捉到对移动性的需求。在经典力学的激励下,我们提出了网络动力学的概念,其中移动设备的位置和运动根据捕获网络操作目标的系统势函数产生的力而演变。我们认为,在移动通信节点的情况下,运动方程应表述为系统势能的最陡下降最小化。此外,由于全局信息在传感器网络中不实用,我们引入了分布式算法,以产生更实际的网络动态实现。所得到的算法是通用的,可以应用于为不同的初始网络部署生成平衡的网络配置。作为网络动力学的第二个应用,我们研究了使移动传感器网络适应干扰机威胁的问题。我们表明,空间逃逸策略与网络动态的结合可以防止可能由移动干扰器引起的网络分区
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