该文提出一种多路径AdHoc网络中基于时延与能量优化的自适应流量分配算法。首先构造了一个将路径传输时延、能量消耗以及当前流量大小进行指数加权相乘的参量，该参量综合反映了业务流在某条子路径上传输时需要的代价（或费用）；然后给出了以最小化各条子路径上的传输代价和为优化目标的流量分配模型，并通过拉格朗日极值法得到了最优的流量分配模式。仿真结果表明，相比基于最小时延一能耗乘积的流量分配算法，本文所提算法可进一步降低业务流的平均传输时延，同时具有更好的流量均衡效果。%An adaptive traffic allocation algorithm which takes both traffic transmission delay and energy consumption into account is proposed for multi-path Ad Hoc networks. Firstly, we construct a parameter equals to the exponential-weighted product of transmission delay, energy consumption and current traffic flow. This parameter reflects the cost when a packet is transmitted along a specific sub-path. Then, we formulate the traffic allocation problem as an optimization problem to minimize the sum of cost of all sub-paths, and the Lagrange multiplier method is also used to obtain the optimization solution to it. Simulation results show that compared with the traffic allocation algorithm which aims at a minimum of delay-energy product, the proposed algorithm can further reduce the traffic transmission delay, and shows better load balance performance.
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