Cross Layer Optimization with QoS for Heterogeneous ad-hoc Network

A. Sethi, Sandip Vijay, Anurag Aeron
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引用次数: 2

Abstract

In this paper, different scenario-based network performance parameters with optimization for heterogeneous ad-hoc are reviewed, observed and analyzed. Emergency services, traffic congestion and safety issues in transportation system can be resolute by intelligent communication heuristic and transforming information between vehicles and transportation infrastructure. Dynamic behavior of topology, high mobility, congestion, scalability and self-organization makes it difficult and costly to implement in real time deployment. Under different scenarios and conditions performance of different routing protocols and network lifetime are observed in literature by different authors using different simulation tools. Road conditions, variable speed of vehicles, driver unpredictable behavior and obstacles influence the performance of different routing protocols. Mobility and packet size put a great impact on network lifetime. In this paper we analyzed the throughput and packet delivery ratio at different BSMs in three different scenarios one for urban city and two scenarios for routing protocol with varying speed of vehicle. Mobility and link awareness can enhance the network lifetime and other parameters like throughput, goodput and packet delivery ratio of vehicular ad hoc network observed under simulation.
异构ad-hoc网络的QoS跨层优化
本文综述、观察和分析了异构ad-hoc的不同场景网络性能参数优化。通过车辆与交通基础设施之间的智能通信启发式和信息转换,可以解决交通系统中的应急服务、交通拥堵和安全问题。拓扑结构的动态性、高移动性、拥塞性、可扩展性和自组织性使得实时部署的实现变得困难和昂贵。在不同的场景和条件下,不同的作者使用不同的仿真工具观察了不同路由协议的性能和网络生存期。道路条件、车辆的变速、驾驶员不可预测的行为和障碍物都会影响不同路由协议的性能。移动性和数据包大小对网络生命周期有很大影响。本文分析了三种不同场景下不同BSMs的吞吐量和分组传输率,一种是城市场景,另一种是不同车速下的路由协议场景。移动性和链路感知可以提高仿真中观测到的车辆自组网的网络生存期以及吞吐量、goodput和分组分发率等参数。
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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