移动自组织网络中能量感知混合组播路由:基于区域的方法

Q4 Business, Management and Accounting
Gyanappa A. Walikar, R. Biradar
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引用次数: 7

摘要

移动自组织网络(manet)是由通过无线无线电链路连接的移动节点自治系统动态形成的。混合路由策略被广泛应用于分层路由协议中,以减少manet的控制开销和分组传输延迟。本文提出了一种基于区域的能量感知混合组播路由方案(ZEHMRP)。该方案分为以下几个阶段:1)通过设计能量模型计算节点剩余能量(RE);2)对剩余能量小于预定义阈值的节点进行剪枝;3)利用请求和应答报文发现多条路由;4)考虑节点剩余能量和密度,在多条路径中选择稳定路径;5)路由中断、节点故障时的路由维护;6)对各参数进行仿真评估。可以观察到,ZEHMRP在各种参数上都优于区域路由协议ZRP (zone routing protocol),如包投递率、端到端延迟、抖动和控制开销。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy aware hybrid multicast routing in mobile ad hoc networks: zone-based approach
Mobile ad hoc networks (MANETs) are formed dynamically by an autonomous system of mobile nodes that are connected via wireless radio links. Hybrid routing strategy is widely used in hierarchical routing protocols to reduce the control overheads and packet delivery delay in MANETs. In this paper, we propose zone-based energy aware hybrid multicast routing scheme (ZEHMRP) for MANET. Our scheme operates in the following phases: 1) computation of node remaining energy (RE) by designing energy model; 2) prune the nodes having remaining energy less than predefined threshold value; 3) discovery of multiple routes using request and reply packets; 4) selection of stable route among multiple routes by considering node remaining energy and density; 5) route maintenance for route breaks and node failures; 6) simulation evaluation for various parameters. It is observed that ZEHMRP outperforms the zone routing protocol (ZRP) for various parameters like packet delivery ratio, end-to-end delay, jitter, and control overheads.
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来源期刊
International Journal of Mobile Network Design and Innovation
International Journal of Mobile Network Design and Innovation Business, Management and Accounting-Management Information Systems
CiteScore
0.30
自引率
0.00%
发文量
0
期刊介绍: The IJMNDI addresses the state-of-the-art in computerisation for the deployment and operation of current and future wireless networks. Following the trend in many other engineering disciplines, intelligent and automatic computer software has become the critical factor for obtaining high performance network solutions that meet the objectives of both the network subscriber and operator. Characteristically, high performance and innovative techniques are required to address computationally intensive radio engineering planning problems while providing optimised solutions and knowledge which will enhance the deployment and operation of expensive wireless resources.
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