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EDHRP: Energy efficient event driven hybrid routing protocol for densely deployed wireless sensor networks

机译:EDHRP:针对密集部署的无线传感器网络的节能事件驱动混合路由协议

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Efficient management of energy resources is a challenging research area in Wireless Sensor Networks (WSNs). Recent studies have revealed that clustering is an efficient topology control approach for organizing a network into a connected hierarchy which balances the traffic load of the sensor nodes and improves the overall scalability and the lifetime of WSNs. Inspired by the advantages of clustering techniques, we have three main contributions in this paper. First, we propose an energy efficient cluster formation algorithm called Active Node Cluster Formation (ANCF). The core aim to propose ANCF algorithm is to distribute heavy data traffic and high energy consumption load evenly in the network by offering unequal size of clusters in the network. The developed scheme appoints each cluster head (CH) near to the sink and sensing event while the remaining set of the cluster heads (CHs) are appointed in the middle of each cluster to achieve the highest level of energy efficiency in dense deployment. Second, we propose a lightweight sensing mechanism called Active Node Sensing Algorithm (ANSA). The key aim to propose the ANSA algorithm is to avoid high sensing overlapping data redundancy by appointing a set of active nodes in each cluster with satisfy coverage near to the event. Third, we propose an Active Node Routing Algorithm (ANRA) to address complex inter and intra cluster routing issues in highly dense deployment based on the node dominating values. Extensive experimental studies conducted through network simulator NCTUNs 6.0 reveal that our proposed scheme outperforms existing routing techniques in terms of energy efficiency, end-to-end delay and data redundancy, congestion management and setup robustness. (C) 2015 Elsevier Ltd. All rights reserved.
机译:能源的有效管理是无线传感器网络(WSN)中一个充满挑战的研究领域。最近的研究表明,群集是一种有效的拓扑控制方法,可用于将网络组织到连接的层次结构中,从而平衡传感器节点的流量负载并提高WSN的总体可伸缩性和生存期。受聚类技术优势的启发,我们在本文中有三点主要贡献。首先,我们提出了一种高能效的集群形成算法,称为主动节点集群形成(ANCF)。提出ANCF算法的核心目的是通过在网络中提供不等大小的群集,在网络中平均分配大量数据流量和高能耗负载。所开发的方案指定靠近接收器和传感事件的每个簇头(CH),同时在每个簇的中间指定其余的簇头(CH)集,以在密集部署中实现最高水平的能源效率。其次,我们提出了一种轻量级的感应机制,称为主动节点感应算法(ANSA)。提出ANSA算法的主要目的是通过在每个群集中指定一组活动节点来覆盖事件附近,从而避免高感测的重叠数据冗余。第三,我们提出了一种主动节点路由算法(ANRA),用于基于节点支配值来解决高密度部署中复杂的集群间和集群内路由问题。通过网络模拟器NCTUNs 6.0进行的大量实验研究表明,我们提出的方案在能效,端到端延迟和数据冗余,拥塞管理和设置稳健性方面优于现有的路由技术。 (C)2015 Elsevier Ltd.保留所有权利。

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