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作 者:卢颖[1,2] 康凤举[1] 钟联炯[2] 王智广[3]
机构地区:[1]西北工业大学航海学院,西安710072 [2]西安工业大学计算机科学与工程学院,西安710032 [3]中国石油大学地球物理与信息工程学院,北京102249
出 处:《西安工业大学学报》2011年第4期387-391,共5页Journal of Xi’an Technological University
基 金:国家重点实验室基金(9140C2305041001)
摘 要:adhoc网络中各项业务具有着一种统计上的自相似特性,对网络的性能影响很大,早期建立在泊松模型基础上的战术通信网性能及协议的分析评价方法已不再适用.在分析了多重ON/OFF源汇聚模型产生自相似业务的基础上,通过对各节点突发量的定量分析,在二进制指数退避(Binary Exponential Backoff,BEB)算法基础上提出了一种适用于自相似特性的算法.该算法通过引入节点竞争系数,使得对于信道的访问能根据网络的突发状态合理调整.利用OPNET技术对adhoc网络进行了仿真.仿真结果表明:算法改进后的网络时延性能较原来提高5.92%,吞吐量提高6.17%.文中算法对网络的协议设计、资源的优化配置具有参考价值.Adhoc network traffic is generated abruptly and arrives in batches. It possesses a kind of statistical self-similar characteristic and has great impact on network performance. Analysis and evaluation method of the performance of Tactical Communication network based on Poisson model is no longer applicable. Based on the analysis of multiple ON/OFF sources generating self-similar traffic, a baekoff algorithm, suitable for self-similar flow is proposed. This algorithm introduces appropriate competition coefficient and makes appropriate nodes assignments to channel accessing in accordance to the current bursting status. Simulation of tactical adhoe network is implemented using OPNET. Simulation results show that the improved algorithm has better performance in time delay and handling capability compared with the original BEB. The time delay reaches 5. 92% and handling capability is increased by 6. 17%. The research has great significance in protocol designing of adhoc network and optimization of the resources configuration.
分 类 号:TN929.5[电子电信—通信与信息系统]
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