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

机译:移动自组织网络中多点中继选择的进化方法

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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方式在移动自组织网络(MANET)中执行广播消息泛洪的技术。在此技术中,每个节点v在其单跳邻居中选择节点的子集S,并且仅允许属于S的节点重传从v接收的广播消息。S中的节点称为多点中继。 。通过将从v接收到的广播消息重新传输的特权限制到仅多点中继,可以大大减少冗余广播消息。在本文中,我们提出了一种基于稳态遗传算法的多点继电器选择方法。与先前提出的使用位向量编码表示解决方案的方法不同,我们使用整数编码,其中多点中继节点表示为有序列表。对于密集网络,其中多点中继中的节点数量仅是一跳邻居的一小部分,不仅节省了内存使用,而且还节省了计算时间,因为遗传算子的效率取决于节点的数量,因此可以实现显着的节省。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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