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Energy, delay and hop count multi-constraints QoS routing algorithm for wireless ad-hoc networks

机译:无线自组网的能量,延迟和跳数多约束QoS路由算法

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QoS configuration is needed to sustain the global network needs as Maintaining Max Network Throughput, Minimum Network energy consumption, Assigning Specific Profiles upon Organization's Request and Targeting Prioritizing Service Delivery Based On the constraints Faced. This paper will introduce an optimization solution for multi-constrained routing problem to assess the potential benefit of QoS routing. Multi Constrained Routing Algorithm (OMCR) will be analyzed throughout the paper, including simulation results done by Network Simulation program (NS2). The paper also compares its advantages over other routing algorithms. The OMCR main disadvantage is that it deals with constraints separately while fetching best path to the destination; this barrier prevents the network from dealing effectively with multi constraint behavior. In this paper, Advanced OMCR (A-OMCR) protocol is proposed to optimize the quality of service parameters such as energy, delay and hop count. The main aim of A-OMCR is fetching a feasible path from source to destination while optimizing multiple QoS constraints simultaneously to overcome the primary disadvantage of OMCR Algorithm.
机译:需要QoS配置来满足全球网络的需求,例如维护最大网络吞吐量,最小网络能耗,根据组织的请求分配特定的配置文件以及根据所面临的约束确定服务交付的优先级。本文将介绍一种用于多约束路由问题的优化解决方案,以评估QoS路由的潜在利益。本文将对多约束路由算法(OMCR)进行分析,包括由网络仿真程序(NS2)完成的仿真结果。本文还比较了其与其他路由算法相比的优势。 OMCR的主要缺点是,它在获取到达目的地的最佳路径时会分别处理约束。此障碍使网络无法有效处理多重约束行为。本文提出了高级OMCR(A-OMCR)协议,以优化服务质量参数,例如能量,延迟和跳数。 A-OMCR的主要目的是获取一条从源到目的地的可行路径,同时同时优化多个QoS约束,以克服OMCR算法的主要缺点。

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