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Node Failure Aware Broadcasting Mechanism in Mobile Adhoc Network Environment

机译:Ad hoc网络环境中的节点故障感知广播机制

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Without any fixed infrastructure, the mobile ad hoc networks were distributed in the environment and this ad hoc network is nothing but a collection of the mobile nodes. In the network performance, transmitting plays a significant role, where it faces many complexities because of the dynamic changing behavior of mobile nodes. Environs Aware Neighbor-knowledge based Broadcasting (EANKBB) method and Optimal Cluster based Broadcasting using GA (OCBC-GA) were brought-in the earlier method, where the cluster head selection is performed optimally with the help of the genetic algorithm. The time sequence schedule is performed to permit each and every node to broadcast for the period of time, once after selecting the cluster head. But this work doesn't concentrate much on the destination node's location, where it has to transmit the broadcasted message to their neighbours, in order to attain the destination. This, in turn, leads to the memory overhead and utilization of the unwanted resource and then the node is permitted to broadcast the messages, if it has high priority and the rest of the nodes should wait until the prioritized node uncovered from the region. This will create issue in the performance of the rest of the nodes which occurs in the network. So,Node Failure Aware Broadcasting Mechanism (NFABM) is brought-in our work, to rectify these issues. With the help of the Hybrid Genetic cuckoo search optimization algorithm and location aware clustering, the cluster head selection is performed in the suggested work. The energy consumption, bandwidth, location and network coverage, were considered as the fitness value here and this, in turn, minimizes the number of broadcast message transmission by transmitting it only to the nodes that are located closer to the destination node. Prioritized Time Sequence Scheme helps our suggested work, to give the equal priority for entire nodes in the environment. Here, a time sequence is computed for every node and it is allocated to individual time period for every node to allow them to broadcast. This new algorithms works like allocating initial time sequence period for the prioritized node for the specific time and it would stop transmission when its time sequence completed. Hence, this concept helps to provide the priority to every node and also each node can be treated uniformly. In the NS2 simulation environment, the entire execution of the work is done, which proves that the suggested work lead to give the optimal result when compared with the current research method.
机译:没有任何固定的基础结构,移动自组织网络就分布在环境中,这个自组织网络不过是移动节点的集合。在网络性能中,传输起着重要的作用,由于移动节点的动态变化行为,传输面临许多复杂性。引入了较早的方法,即基于环境知识的基于邻居知识的广播(EANKBB)方法和基于GA的基于最佳集群的广播(OCBC-GA),其中借助遗传算法对簇头的选择进行了优化。在选择簇头之后,执行时序安排以允许每个节点在一段时间内进行广播。但是这项工作并没有集中在目标节点的位置,在该位置必须将广播的消息传输到其邻居以达到目标。反过来,这会导致内存开销和不必要资源的利用,然后,如果节点具有较高的优先级,则允许该节点广播消息,其余节点应等待,直到从该区域发现优先级较高的节点为止。这将对网络中其余节点的性能造成影响。因此,我们引入了节点故障感知广播机制(NFABM),以纠正这些问题。借助杂种杜鹃搜索优化算法和位置感知群集,可以在建议的工作中执行群集头的选择。此处,能耗,带宽,位置和网络覆盖范围被认为是适用性值,这反过来又通过仅将广播消息发送到距离目标节点较近的节点来最大程度地减少了广播消息的传输次数。优先时序方案可以帮助我们建议的工作,为环境中的整个节点提供同等的优先级。在此,为每个节点计算时间序列,并将其分配给每个节点的单独时间段,以允许它们广播。这种新算法的工作方式类似于为特定时间的优先级节点分配初始时间序列周期,并且在其时间序列完成后它将停止传输。因此,该概念有助于向每个节点提供优先级,并且每个节点也可以被统一对待。在NS2仿真环境中,完成了工作的全部执行,这证明与当前的研究方法相比,所建议的工作可以提供最佳结果。

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