A Novel Spatial Property Aware Multihop Communication Solution for Autonomous Mobile Networks

András Kokuti, V. Simon, Bernát Wiandt
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引用次数: 1

Abstract

In line with traditional communication systems, more and more attention is given to autonomous, self-organized networks with no central infrastructure, based on peer-to-peer communication. Designing multihop broadcast protocols for these networks is a complex problem as the task of these protocols is to disseminate messages in a network effectively while avoiding unnecessary use of resources. The vast majority of these protocols (as those used in the present day Internet) do not use spatial information of the nodes to optimize the bandwidth and channel usage. By increasing the awareness of the nodes, equipping them with their physical location, we can achieve a higher level of autonomous functioning, better performance, and higher level communication primitives, like transmitting in a given direction. We have designed a novel communication protocol, based on the spatial properties of the system, the Direction Based Handshake Gossiping, which was implemented in our self-organizing network simulator. For performance comparison we picked three other location based data dissemination protocols from the literature (Distance Adaptive Dissemination, the General Probabilistic Broadcast Algorithm, and Ni et al's location-based scheme). Our simulations show that our solution overperforms the other three protocols in terms of control overhead and number of duplications, which is crucial in self-organized mobile networks, where radio band with and energy are usually scarce resources.
自主移动网络空间感知多跳通信解决方案
与传统的通信系统一样,基于点对点通信的自治、自组织网络越来越受到重视。为这些网络设计多跳广播协议是一个复杂的问题,因为这些协议的任务是有效地在网络中传播消息,同时避免不必要的资源使用。这些协议中的绝大多数(如当今Internet中使用的协议)不使用节点的空间信息来优化带宽和信道使用。通过增加对节点的感知,为它们配备物理位置,我们可以实现更高级别的自治功能、更好的性能和更高级别的通信原语,比如在给定方向上传输。基于系统的空间特性,我们设计了一种新的通信协议——基于方向的握手八卦,并在我们的自组织网络模拟器中实现。为了进行性能比较,我们从文献中选择了其他三种基于位置的数据传播协议(距离自适应传播、一般概率广播算法和Ni等人的基于位置的方案)。我们的模拟表明,我们的解决方案在控制开销和重复数量方面优于其他三种协议,这在自组织移动网络中至关重要,其中无线电频带和能量通常是稀缺资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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