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A Resource Intensive Traffic-Aware Scheme for Cluster-based Energy Conservation in Wireless Devices

机译:基于集群的能源资源密集型流量感知方案   无线设备中的保护

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摘要

Wireless traffic that is destined for a certain device in a network, can beexploited in order to minimize the availability and delay trade-offs, andmitigate the Energy consumption. The Energy Conservation (EC) mechanism can benode-centric by considering the traversed nodal traffic in order to prolong thenetwork lifetime. This work describes a quantitative traffic-based approachwhere a clustered Sleep-Proxy mechanism takes place in order to enable eachnode to sleep according to the time duration of the active traffic that eachnode expects and experiences. Sleep-proxies within the clusters are createdaccording to pairwise active-time comparison, where each node expects duringthe active periods, a requested traffic. For resource availability and recoverypurposes, the caching mechanism takes place in case where the node for whichthe traffic is destined is not available. The proposed scheme uses Role-basednodes which are assigned to manipulate the traffic in a cluster, through thetime-oriented backward difference traffic evaluation scheme. Simulation studyis carried out for the proposed backward estimation scheme and theeffectiveness of the end-to-end EC mechanism taking into account a number ofmetrics and measures for the effects while incrementing the sleep time durationunder the proposed framework. Comparative simulation results show that theproposed scheme could be applied to infrastructure-less systems, providingenergy-efficient resource exchange with significant minimization in the powerconsumption of each device.
机译:可以利用发往网络中某个设备的无线流量,以最大程度地减少可用性并延迟取舍,并减少能耗。可以通过考虑所遍历的节点流量来以节点为中心的节能(EC)机制,以延长网络寿命。这项工作描述了一种基于流量的定量方法,其中采用了集群式睡眠代理机制,以使每个节点能够根据每个节点期望和经历的活动流量的持续时间进行睡眠。根据成对的活动时间比较在集群中创建睡眠代理,每个节点在活动时间段内期望请求的流量。出于资源可用性和恢复目的,在以流量为目标的节点不可用的情况下,将使用缓存机制。所提出的方案使用基于角色的节点,通过基于时间的后向差异流量评估方案,这些节点被分配来操纵集群中的流量。针对所提出的反向估计方案和端到端EC机制的有效性进行了仿真研究,同时考虑了在所提出的框架下增加睡眠时间持续时间的多种影响因素和措施。对比仿真结果表明,所提出的方案可以应用于无基础设施的系统,从而提供了节能的资源交换,并且极大地降低了每个设备的功耗。

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