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Performance Analysis of Different Tree Structures in Heterogeneous Wireless Sensor Network

机译:异构无线传感器网络中不同树形结构的性能分析

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摘要

Wireless sensor network consists of independent sensor nodes which are distributed in an environment and sense information from its surrounding. The limitations of wireless sensor network are storage capacity, processing capability, resource constraint, energy, etc. Integrating mobile cloud computing with wireless sensor network introduces sensor mobile cloud which provides solution to storage limitation by offloading the sensed data through mobile devices. To send data from the sink node to the cloud, sensor nodes must be deployed in a manner so that it can reduce energy consumption. Data aggregation is one of the most important methods to decrease the total energy consumption of the network. Energy consumption of the sink node can be reduced by deploying a resource privileged mobile device as a relay node to transmit the collected data to the cloud. For data aggregation, different tree structures are used. In this paper we have used 2-tree, spanning tree, and complete ternary tree structures for the placement of sensor nodes to form a network. These three network structures are compared and analysed using Qualnet 7.1 based on the different simulation parameters: energy consumption in different modes, residual battery capacity, average jitter, average delay, average path loss, average transmission delay and signals received with errors. In simulation it has been noticed that ternary tree out performs compared to the other trees with respect to energy consumption as well as other parameters that are considered.
机译:无线传感器网络由独立的传感器节点组成,这些传感器节点分布在环境中并从其周围感知信息。无线传感器网络的局限性是存储容量,处理能力,资源约束,能源等。将移动云计算与无线传感器网络集成会引入传感器移动云,该传感器移动云通过通过移动设备卸载感测到的数据来提供存储限制解决方案。要将数据从接收器节点发送到云,必须以某种方式部署传感器节点,以减少能耗。数据聚合是减少网络总能耗的最重要方法之一。通过将资源特权的移动设备部署为中继节点以将收集的数据传输到云,可以减少宿节点的能耗。对于数据聚合,使用了不同的树结构。在本文中,我们使用2树,生成树和完整的三叉树结构来放置传感器节点以形成网络。基于不同的仿真参数,使用Qualnet 7.1对这三个网络结构进行了比较和分析:不同模式下的能耗,电池剩余电量,平均抖动,平均延迟,平均路径损耗,平均传输延迟和接收到的有错误信号。在仿真中,已经注意到在能源消耗以及所考虑的其他参数方面,与其他树相比,三叉树的输出效果更好。

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