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Energy Measure Semigraph-Based Connected Edge Domination Routing Algorithm in Wireless Sensor Networks

机译:无线传感器网络中的能量测量基于半导体的连接边缘统治路由算法

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In wireless sensor networks (WSNs), batteries are used as power source which is limited, and replacement of the battery is difficult. Since communication between nodes consumes most of the node power, topology-based power control is essential for reducing energy consumption. It is necessary to use optimized topology-based energy control model, so the selected nodes are used to generate a virtual backbone, which reduces unwanted routing of data. The virtual backbone for optimized topology can be created by connected dominating set (CDS) of graph theory. However, generating the virtual backbone by using the CDS algorithm is an NP-hard problem because of larger network size. To overcome this problem, in this paper, a novel distributed connected edge dominating set-based semigraph model (S-CEDS) is proposed. The performance ratio of the proposed S-CEDS is measured as (4?+?ln?′) |opt|, where |opt| represents the network size. The proposed S-CEDS is implemented using the ns-2 simulator and evaluated with conventional routing protocols such as AODV and DSDV. The results show that the proposed S-CEDS approach increases throughput and network lifetime. Also, it reduces energy consumption and average number of hops required for data transmission.
机译:在无线传感器网络(WSN)中,电池用作电源限制,电池更换难以。由于节点之间的通信消耗了大部分节点电源,因此基于拓扑的功率控制对于降低能量消耗至关重要。有必要使用基于优化的基于拓扑的能量控制模型,因此所选节点用于生成虚拟骨干,这减少了不需要的数据路由。可以通过CAPLAG理论的连接主导集(CD)来创建用于优化拓扑的虚拟骨干。但是,由于使用较大的网络大小,通过使用CDS算法生成虚拟骨干网是一个NP难题。为了克服这个问题,提出了一种新的分布式连接边缘主导基于集合的半字模型(S-CED)。拟议的S-CED的性能比测量为(4?+?LN?')| opt |,其中|表示网络大小。所提出的S CEDS使用NS-2模拟器实现,并用传统的路由协议(如AODV和DSDV)进行评估。结果表明,拟议的S CEDS方法增加了吞吐量和网络寿命。此外,它降低了数据传输所需的能量消耗和平均跳数。

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