基于混沌集成布谷鸟搜索骑手优化算法的QoS和网络寿命感知可靠组播路由协议

A. R. Rao, Valli Kumari Vatsavayi, C. Reddy
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引用次数: 0

摘要

在MANET中,组播路由被认为是一个非确定性多项式(NP)复杂度,它包含了各种各样的目标和限制。在MANET的组播问题中,基于成本、延迟、抖动、带宽的服务质量QoS (Quality of services, QoS)一直被认为是多目标的,以实现多播路由协议。相反,移动节点的电池能量有限,网络的寿命取决于其移动节点的电池能量。如果移动节点的电池能耗较高,则会由于路由中断而自动缩短网络的寿命。另一方面,在多播路由中,为了随时随地传输准确的数据,必须消耗节点的电池能量以确保更高水平的服务质量。因此,在组播路由问题中,网络寿命被看作是一个多目标问题。为了克服这些问题,QoS和印度安得拉邦维萨卡帕特南安得拉邦大学电子通信与工程系教授Valli Kumari vatsavay22博士。本文提出了基于混沌集成布谷鸟搜索骑子优化算法的网络寿命感知可靠组播路由协议(QOS-MRP-CSROA-MANET)。该方法将混沌理论的布谷鸟搜索算法(Chaotic-CSA)和骑手优化算法(Rider Optimization, ROA)联合执行,称为Chaotic-CSA-ROA,用于解决MANET的MR问题。本文利用混沌- csa - roa算法对MANET的MR问题进行了优化,目标包括成本、时延、抖动、带宽和网络寿命五个方面。然后在NS2模拟器上对所提出的方法进行了仿真,验证了所提出的QOS-MRP- CSROA-MANET系统的性能。在这里,评估指标,通过延迟,交付率,下降,网络寿命,开销和吞吐量与节点,速率和速度进行分析。与现有方法相比,本文提出的QOS-MRP-CSROA-MANET的节点吞吐量分别为32.9496%和65.5839%,速率吞吐量分别为16.6049%和30.4654%,速率吞吐量分别为10.1298%和7.0825%,节点丢包率分别为63.7313%和52.2255%,速率丢包率分别为51.5528%和25.6220%,速率丢包率分别为18.0857%和24.593%。如在MANET中使用粒子群优化算法实现QOS感知的组播路由协议(QOS- mrp - psoa -MANET)和在MANET中使用遗传算法实现QOS感知的组播路由协议(QOS- mrp - ga -MANET)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A QoS and Network Lifetime Aware Reliable Multicast Routing Protocol Using a Chaos Integrated Cuckoo Search Rider Optimization Algorithm
In MANET, the multicast routing is considered as a non-deterministic polynomial (NP) complexity, it contains assorted objectives and restrictions. In the multicast issue of MANET, the Quality of services (QoS) based upon cost, delay, jitter, bandwidth, these are constantly deemed as multi-objective for intending multiple cast routing protocols. Conversely, mobile node has finite battery energy and the lifetime of network depending on its mobile node battery energy. If the mobile node has high battery energy consumption, it automatically reduces the network’s life time because of their route breaks. Alternatively, node’s battery energy has to be consumed to ensure higher level quality of services in multicast routing for transmitting the accurate data anywhere and anytime. Therefore, the network lifespan is deemed as multi-objective in the multicast routing (MR) problem. To overcome these issues, QoS and Dr. Valli Kumari Vatsavayi2 2Professor, Department of Electronic Communication and Engineering, Andhra University, visakhapatnam,Andhra Pradesh ,India. 2Email:vallikumariv001@yahoo.com Network Lifetime Aware Reliable Multicast Routing Protocol are proposed by applying Chaos integrated Cuckoo Search Rider Optimization Algorithm for effectual data transmission in MANET (QOS-MRP-CSROA-MANET). The proposed method is the joint execution of both the Cuckoo Search Algorithm with chaos theory (Chaotic-CSA) and Rider Optimization (ROA) algorithm and hence it is called as Chaotic-CSA-ROA, which is utilized to solve the MR problem of MANET. Here, the MR problem of MANET have five objectives, viz cost, delay, jitter, bandwidth, network lifetime are optimized with the help of Chaotic-CSA-ROA. Then the proposed method is simulated in NS2 simulator for validating the performance of the proposed QOS-MRP- CSROA-MANET system. Here, evaluation metrics, via delay, delivery ratio, drop, Network lifespan, overhead and throughput are analyzed with node, rate and speed. The proposed QOS-MRP-CSROA-MANET provide higher throughput in node as 32.9496% and 65.5839%, higher throughput in rate as 16.6049% and 30.4654%, higherthroughput in speed as 10.1298% and 7.0825%, low packet drop in node as 63.7313% and 52.2255%, low packet drop in rate as 51.5528% and 25.6220%, low packet drop in speed as 18.0857% and 24.5953% compared with existing methods, like QOS aware of multicast routing protocol using particle swarm optimization algorithm in MANET (QOS-MRP-PSOA-MANET) and QOS aware of multicast routing protocol using genetic algorithm in MANET (QOS-MRP-GA-MANET) respectively.
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