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Energy efficient momento based dynamic scheduling for lifetime maximization in WSN
Journal of Ambient Intelligence and Humanized Computing ( IF 3.662 ) Pub Date : 2020-05-28 , DOI: 10.1007/s12652-020-02131-7
G. Brindha , P. Ezhilarasi

The problem of routing with scheduling and lifetime maximization in WSN has been well studied. There are number of algorithms discussed earlier for the support of lifetime maximization and scheduling of nodes in WSN. However, they suffer to achieve higher performance in maximization of lifetime of sensor nodes. To improve the performance, an energy efficient momento based dynamic scheduling algorithm (EEMDS) is presented in this article. The proposed method considers energy and previous transmission history of different nodes to perform scheduling. The method first collects the list of sensor which has packets to be transmitted and allocates momento according to the priority of nodes. The node selected has been assigned with the momento which is required for the data transmission. Once the source and destination node has been identified, then according to the topology of nodes, a set of routes has been identified. For each route and the list of intermediate nodes, the method estimates the transmission support and lifetime maximization support values. The transmission support has been measured based on the number of sensors and energy where the lifetime support is measured according to the energy parameter and the previous transmission history. Finally, a small set of nodes are selected and scheduled for working mode. The route available in the selected route has been used to perform data transmission. According to the result of route selection, the list of nodes present in the route is identified. Such nodes present in the selected route are scheduled to be wakeup in the current transmission where the remaining nodes present in the network are scheduled to be in sleep mode. This increases the throughput performance and lifetime of the entire network.



中文翻译:

WSN中基于节能的基于矩量的动态调度,以实现生命周期最大化

在无线传感器网络中,具有调度和寿命最大化的路由问题已经得到了很好的研究。前面已经讨论了许多算法,以支持WSN中的生存期最大化和节点调度。然而,它们在最大化传感器节点的寿命方面遭受了更高的性能。为了提高性能,本文提出了一种基于能源效率的瞬时动态调度算法(EEMDS)。所提出的方法考虑能量和不同节点的先前传输历史来执行调度。该方法首先收集具有要发送的分组的传感器的列表,并根据节点的优先级分配动量。所选节点已分配了数据传输所需的时间。一旦确定了源节点和目标节点,然后根据节点的拓扑,确定了一组路由。对于每个路由和中间节点列表,该方法估计传输支持和寿命最大化支持值。已根据传感器的数量和能量测量了传输支持,其中根据能量参数和先前的传输历史来测量了寿命支持。最后,选择一小组节点并将其安排为工作模式。所选路径中可用的路径已用于执行数据传输。根据路由选择的结果,确定路由中存在的节点列表。所选路由中存在的此类节点被安排为在当前传输中被唤醒,其中网络中存在的其余节点被安排为处于睡眠模式。

更新日期:2020-05-28
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