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基于多源协同感知的目标追踪优化模型

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基于多源协同感知的目标追踪优化模型
Optimization Model of Target Tracking Based on Multi-Source Collaborative Awareness
投稿时间:2016-02-02
DOI:10.15918/j.tbit1001-0645.2017.11.06
中文关键词:多源协同感知无线传感器网络目标追踪多目标优化模型
English Keywords:multi-source collaborative perceptionwireless sensor networktarget trackingmulti-objectiveoptimization model
基金项目:国家自然科学基金资助项目03109);黑龙江省教育厅科学研究项目(12511099)
作者单位
赵中楠哈尔滨理工大学 计算机科学与技术学院, 黑龙江, 哈尔滨 150080
王健哈尔滨理工大学 计算机科学与技术学院, 黑龙江, 哈尔滨 150080
乔佩利哈尔滨理工大学 计算机科学与技术学院, 黑龙江, 哈尔滨 150080
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中文摘要:
面向物联网及多媒体传输等应用的中高速无线传感器网络,如何在有限的能量下提供较高的传输速率,以满足各种应用的需求成为亟待解决的关键问题.鉴于此本文提出了一种基于多源协同感知的目标追踪优化模型.该模型通过在追踪目标过程中对各节点的多源信息进行协同感知,针对能量阈值以及吞吐量进行多指标综合考虑,并采用优化算法进行多目标优化,实现了目标追踪过程中有效能耗下的高性能传输.经过与相关算法进行实验比对,本文提出的模型在多网络性能指标下均能够表现较好的效果,证明了模型的有效性.
English Summary:
Facing the mid-high speed wireless sensor network applied in occasions like internet of things and multimedia transmission, a key issue that how to transmit information with high speed under conditions of limited resources is needed to be solved urgently for the applications. For that reason, an optimization model of target tracking based on multi-source collaborative awareness was proposed in this paper. In the model, the multiple source information was obtained by means of collaborative perception from nodes in the process of tracking targets, and considering multi-index of that the energy threshold and throughput comprehensively, an algorithm for multi-objective optimization was used to achieve high performance of transmission with effective energy consumption. Comparing with the related algorithms, experiment results show that, the proposed model can represent a better performance and validity under a variety of network indicators.
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