蚁群算法在移动自组网节能协议开发中的应用

S. K. Dhurandher, M. Obaidat, Mayank Gupta
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引用次数: 6

摘要

蚁群觅食行为在移动自组织网络(manet)协议中的应用是非常有用的。当蚁群优化方案应用于协议时,从源到目的产生更多的路径,这有助于提高数据包的传输率,因为当路径因移动节点而中断时,备用路径总是可用的。在本文中,我们将蚁群算法应用于已有的能效协议CMMBCR (c - k)。(音),2001)。CMMBCR既考虑了网络中的总传输能量,又考虑了节点的剩余电池容量。因此,将蚁群算法应用到CMMBCR中,在能量、数据包发送率等方面都具有更高的效率。我们提出的协议A-CMMBCR的效率然后通过将其与其他一些现有的能量感知协议(如能量感知路由协议(EAAR) (Dhurandher等人,2009),最小传输功率路由(MTPR) (Scott和Bambos, 1996)和CMMBCR)进行比较来确定。结果以图形格式的形式捕获。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Ant Colony Optimization to develop Energy efficient protocol in mobile Ad-Hoc Networks
Foraging Behavior in Ant Swarms can be very helpful when applied to the protocols in Mobile Ad hoc NETworks (MANETs). When the Ant Colony Optimization Scheme (ACO) is applied to a protocol, larger number of paths are generated from the source to destination which helps in improving the packet delivery ratio because an alternate back up path is always available in case a path gets broken due to the mobile nodes. In this paper, we apply the ACO scheme on an already existing Energy efficient protocol Conditional Max-Min Battery Capacity Routing (CMMBCR) (C.-K. Toh, 2001). The CMMBCR not only takes care of the total transmission energy in the network but also the residual battery capacity of the nodes. Hence applying ACO scheme on CMMBCR makes it more efficient in terms of energy, packet delivery ratio etc. The efficiency of our proposed protocol A-CMMBCR is then established by comparing it with some of the other existing Energy aware protocols such as Energy-Aware Routing protocol (EAAR) (Dhurandher et al., 2009), Minimum Transmission Power Routing (MTPR) (Scott and Bambos, 1996) and CMMBCR. The results are captured in the form of a graphical format.
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