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Application of Ant Colony Optimization to develop Energy efficient protocol in mobile Ad-Hoc Networks

机译:蚁群优化在移动Ad-Hoc网络中开发节能协议的应用

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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.
机译:将“蚂蚁群”中的觅食行为应用于Mobile Ad hoc NETworks(MANET)中的协议时,将非常有帮助。当将蚁群优化方案(ACO)应用于协议时,从源到目的地会生成大量路径,这有助于提高数据包的传输率,因为在路径中断的情况下,备用备份路径始终可用到移动节点。在本文中,我们将ACO方案应用于现有的节能协议有条件最大-最小电池容量路由(CMMBCR)(C.-K。Toh,2001年)。 CMMBCR不仅要照顾网络中的总传输能量,还要照顾节点的剩余电池容量。因此,在CMMBCR上应用ACO方案使其在能量,数据包传输率等方面更加高效。然后,通过将其与其他一些现有的节能协议(例如能源感知路由)进行比较,来确定我们提出的协议A-CMMBCR的效率。协议(EAAR)(Dhurandher et al。,2009),最小传输功率路由(MTPR)(Scott和Bambos,1996)和CMMBCR。结果以图形格式捕获。

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