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A NEW ROUTE DISCOVERY ALGORITHM IN MANETS COMBINING LOCATION-AIDED ROUTING AND PROBABILISTIC ALGORITHMS

机译:结合位置辅助路由和概率算法的Manets路由发现新算法

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摘要

A variety of flooding optimization algorithms have been developed to alleviate the effects of broadcast storm problem during route discovery in mobile ad hoc networks (MANETs), such as the locations-aided routing scheme 1 (LAR-1) and probabilistic algorithms. In this paper, we propose a new route discovery algorithm that combines these two algorithms; therefore, thus it is referred to as LAR-1 P. In this new algorithm, when receiving a message, a node within the request zone rebroadcasts the message probabilistically with dynamically adjusted retransmission probability (p,). LAR-1P combines the better of the two algorithms, in low-density request zone; p_t of 1 or close to 1, so that the algorithm acts as LAR-1, while in a high-density zone, p_t is dynamically adjusted so that the algorithm acts as probabilistic. The performance of the new algorithm is evaluated through simulations using the MANET simulator (MANSim). The simulation results demonstrate that LAR-1P provides average performance better than any of the two algorithms.
机译:已经开发了多种泛洪优化算法,以减轻移动自组织网络(MANET)在路由发现过程中广播风暴问题的影响,例如位置辅助路由方案1(LAR-1)和概率算法。在本文中,我们提出了一种将这两种算法结合在一起的新的路由发现算法。因此,它被称为LAR-1P。在这种新算法中,当接收到一条消息时,请求区域内的节点将以动态调整的重发概率(p,)概率地重新广播该消息。 LAR-1P在低密度请求区域中结合了两种算法中的优势。 p_t为1或接近1,因此该算法充当LAR-1,而在高密度区域中,动态调整p_t从而使该算法充当概率。通过使用MANET模拟器(MANSim)进行的仿真来评估新算法的性能。仿真结果表明,LAR-1P的平均性能优于两种算法中的任何一种。

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