MANET中节能按需路由算法的性能评价

P. Sivasankar, C. Chellappan, S. Balaji
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引用次数: 7

摘要

移动自组织网络是一类没有任何集中管理的动态网络。移动自组织网络(manet)的一个主要瓶颈是能量消耗,因为节点通常是移动的和电池供电的。为了最大限度地延长移动自组织网络的生存期(即节点自身的生存期),网络的能量消耗必须均匀分布,即节点必须均匀地消耗能量,并且每个连接请求的总传输功率要求必须最小化。本文提出了能效延迟路由(EEDTR)和最大能效路由(MEER)两种算法,试图提高移动自组织网络的运行寿命。这些算法是现有动态源路由(DSR)算法的修改版本。这些算法选择完全分布的路由,从而平衡整个网络的功耗。第一种算法(EEDTR)引入了节点转发数据包的延迟,该延迟与节点的剩余能量水平成反比。第二种算法包含路由请求包上的能量信息,并基于该信息选择路由(MEER)。这些算法是使用全局移动模拟器(GloMoSim)设计和实现的,这是一个可扩展的网络仿真仿真环境。基于所获得的结果,本文得出结论,所提出的算法以牺牲端到端延迟和控制开销为代价,增加了移动自组织网络的生存期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Evaluation of Energy Efficient On-demand Routing Algorithms for MANET
Mobile ad hoc networks are a class of dynamic networks without any centralized administration. A major bottleneck in mobile ad hoc networks (MANETs) is the energy consumption since nodes are usually mobile and battery operated. To maximize the lifetime of mobile ad hoc networks (i.e., the lifetime of the nodes themselves) the power depletion of network must be evenly distributed, i.e., there must be a uniform drain of energy from the nodes, and the overall transmission power requirement for each connection request must be minimized. This paper proposes two algorithms called energy efficient delay time routing (EEDTR) and maximised energy efficient routing (MEER), which try to increase the operational lifetime of mobile ad hoc networks. These algorithms are modified versions of the existing dynamic source routing (DSR) algorithm. These algorithms select fully distributed routes, thus balancing power consumption of the entire network. The first algorithm(EEDTR) introduces a delay in forwarding the packets by nodes, which is inversely proportional to the remaining energy level of the node. The second algorithm includes energy information on the route request packet and select the routes based on this information (MEER). These algorithms are designed and implemented using global mobile simulator (GloMoSim), a scalable, simulation environment for network simulation. Based on the results obtained, this paper concludes that the proposed algorithms increase the lifetime of mobile ad hoc networks, at the expense of end to end delay and control overhead.
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