In recent years, with increasing demands for mobile services in different scenarios, no-center, distributed and self-organized Ad Hoc network has rapidly developed and plays a more and more important role in social life. However, how to design a reasonable and effective resource allocation scheme in Ad Hoc network is facing enormous challenge. This paper introduces the distributed Newton algorithm to solve the resource allocation problem. The main idea of the algorithm is to use the current local information to solve the primary and dual variables in each iterative process. By introducing energy consumption cost into the utility maximization function, and using the information from network layer, data link layer and physical layer, this paper proposes a cross layer design joint rate and power control in the utility maximization model. This method transforms the maximization problem of object function after modeling the Ad Hoc network into sub-problems in each different layer, workingout the minimum power and the maximum rate of the Ad Hoc network, that the minimum power under the maximum sending rate. The simulation result shows that the secondary convergence speed of the algorithm is fast. Cross layer optimization joint rate and power control can guarantee network utility maximization and reduce the node transmit power at the same time, thus effectively prolonging the network lifetime. The lower power communication can also enhance the communication security of the Ad Hoc network.%近年来,随着人们在各种环境下对移动业务需求的增加,Ad Hoc网络以其无中心、分布式、自组织等特性,在社会生活中占据了越来越重要的地位.然而,如何在Ad Hoc网络中设计合理有效的资源分配方案面临着巨大的挑战.文章提出分布式牛顿算法来解决Ad Hoc网络中的资源分配问题,该算法的主要思想是利用当前的局部信息求解每次迭代过程中的原始变量和对偶变量,在效用最大化函数中引入能量消耗成本,利用网络层、数据链路层和物理层的信息,在网络效用最大化模型中,联合速率和功率控制进行跨层设计.该方法把Ad Hoc网络建模后的目标函数最大化问题转化为各个层的子问题,求解出网络中的最小功率和最大速率,即网络在最大发送速率下的最小功率.仿真结果表明:该算法具有更快的二次收敛速度,利用速率和功率进行跨层优化,在保证网络效用最大化的同时,可降低节点的发送功率,有效延长网络的寿命.与此同时,较低功率的通信也可以提高网络的通信安全.
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