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An Optimized Adhoc Network Routing Protocol For Multi-performance Decision Making

机译:用于多性能决策的优化Adhoc网络路由协议

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This paper proposes an improved AODV routing protocol based on multi-parameter decision making, combined with multi-parameter decision making and ant colony optimization algorithm, to select the optimal route of adhoc network. The goal is to improve the delivery rate of data packets and the robustness of the network during the operation of the adhoc network. By dynamically obtaining the metrics of transmission distance, node connection reliability, node progress, direction, network delay and node lifetime of each node. Using minimization of three measures, transmission distance, node progress and direction, and node connection and maximization of reliability, network delay, and survival time metric as decision-making basis, the moving probability function in the ant colony algorithm is constructed.The global pheromone is updated by the combination of the constructed function with the local optimal path. According to the above strategy, the selection of each hop node in the routing process will be based on the calculated selection probability. Algorithm simulation with the help of the NS-2 platform, the analysis results demonstrated that the improved protocol packet delivery rate is higher than the unmodified protocol, resulting in better network performance indicators, such as average network delay, routing overhead, packet delivery rate and so on.
机译:提出了一种基于多参数决策的改进AODV路由协议,结合多参数决策和蚁群优化算法,选择了自组织网络的最优路由。目标是在自组织网络运行期间提高数据包的传输速率和网络的鲁棒性。通过动态获取每个节点的传输距离,节点连接可靠性,节点进度,方向,网络延迟和节点生存期的度量。以传输距离,节点进度和方向,节点连接以及可靠性,网络延迟和生存时间度量这三个量度的最小化为决策基础,构造了蚁群算法中的移动概率函数。通过构造函数与局部最优路径的组合来更新。根据上述策略,路由过程中每个跃点节点的选择将基于计算出的选择概率。借助NS-2平台进行的算法仿真,分析结果表明改进后的协议数据包传输速率高于未修改的协议,从而产生了更好的网络性能指标,例如平均网络延迟,路由开销,数据包传输速率和以此类推。

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