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Efficient Data Aggregation and Routing Algorithm for IoT Wireless Sensor Networks

机译:IOT无线传感器网络的高效数据聚合与路由算法

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The Internet of Things (IoT) Wireless Sensor Network (WSN) mobile node has the following essential resources; Average Energy, Bandwidth, and Memory. These resources have to be used aptly for effectiveness in the application, and hence, it becomes challenging. The data aggregation and routing algorithm make use of energy, bandwidth, and memory in their operation. The existing data aggregation and routing algorithms reduce energy consumption by avoiding redundancy in data, hence effectively reducing bandwidth, and memory. There has been a tradeoff between the level of security (in data aggregation and routing), and energy consumption, as a high level of security will have more intensive computational operations and vice versa. The proposed research is presenting the improved Modified Power-Efficient Gathering (Aggregation) in Sensor Information System (Modified-PEGASIS) algorithm for efficient data aggregation and routing in IoT WSN. The simulation results of the proposed work show superior data safety and protection, leading to better throughput, packet delivery ratio, end to end delay, routing overhead, energy consumption, and security.
机译:物联网(物联网)无线传感器网络(WSN)移动节点具有以下基本资源;平均能量,带宽和记忆。这些资源必须在申请中适用于有效性,因此,它变得具有挑战性。数据聚合和路由算法在其操作中使用能量,带宽和内存。现有数据聚合和路由算法通过避免数据中的冗余来降低能量消耗,因此有效地减少了带宽和存储器。在安全级别(数据聚集和路由)之间存在权衡,并且能耗,作为高水平的安全性将具有更强化的计算操作,反之亦然。所提出的研究正在介绍传感器信息系统(修改PEGASIS)算法中改进的修改功率效率聚集(聚合),以实现IOT WSN中的高效数据聚合和路由。建议工作的仿真结果显示出卓越的数据安全和保护,导致吞吐量,分组传递比率,端到端延迟,路由开销,能耗和安全性。

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