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An Evolutionary Approach to Multi-point Relays Selection in Mobile Ad Hoc Networks

机译:移动临时网络中多点继电器选择的进化方法

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Multi-point relaying is a technique to carry out the flooding of broadcast messages in the mobile ad hoc network (MANET) in a highly efficient manner. In this technique, each node v chooses a subset S of nodes among its one-hop neighbors, and only the nodes belonging to S are allowed to re-transmit the broadcast messages received from v. The nodes in S are called multi-point relays. By limiting the privilege to re-transmit the broadcast messages received from v to only multi-point relays allows for significant reduction in redundant broadcast messages. In this paper, we have proposed a steady-state genetic algorithm based approach for the selection of multi-point relays. Unlike the previously proposed approaches, which use bit-vector encoding to represent a solution, we have used the integer encoding where the multi-point relay nodes are represented as an ordered list. For dense networks, where the number of nodes in multi-point relays is only a small fraction of one-hop neighbors, a significant savings is achieved not only in memory usage, but also in computation time as the efficiency of genetic operators depends on the length of the chromosome. Computational results show the effectiveness of our approach.
机译:多点中继是一种以高效的方式在移动临时网络(MANET)中进行广播消息的洪水的技术。在该技术中,每个节点V在其一跳邻居中选择节点的子集S,并且允许只允许属于S的节点重新发送从v接收的广播消息。S中的节点称为多点继电器。通过限制重新发送从V接收的广播消息的特权,只有多点继电器允许显着降低冗余广播消息。本文提出了一种基于稳态遗传算法,用于选择多点继电器。与先前提出的方法不同,使用位矢量编码表示解决方案,我们使用了多点中继节点表示为有序列表的整数编码。对于密集的网络,其中多点继电器中的节点数量只是一小部分的单跳邻居,不仅可以在内存使用情况下实现了大量的节省,而且在计算时间中,随着遗传运算符的效率取决于染色体的长度。计算结果表明了我们方法的有效性。

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