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题名: A Novel Compression Algorithm for Spatiotemporal Data Based on PSO and GA
作者: Wu JW(吴俊伟) ; Zhu YL(朱云龙) ; Ku T(库涛) ; Wang L(王亮)
作者部门: 信息服务与智能控制技术研究室
会议名称: International Conference on Computational Intelligence and Software Engineering (CiSE 2012)
会议日期: December 14-16, 2012
会议地点: Wuhan, China
会议录: International Conference on Computational Intelligence and Software Engineering (CiSE 2012)
会议录出版者: Scientific Research Publishing
会议录出版地: USA
出版日期: 2012
页码: 13-16
ISBN号: 978-1-61896-036-8
关键词: Spatiotemporal Data compression ; genetic algorithm ; particle swarm optimization ; Douglas-Peucker algorithm
摘要: Positioning applications have recently become extremely popular thanks to recent advances in telecommunications and geopositioning reporting devices (GPS, PDA etc.). It is thus to be expected that all these devices will start to generate an unprecedented stream of time-stamped positions leading to storage and computation challenges. Hence the need for trajectory compression arises. Previously most work has been done in compression mainly deal with two-dimensional spatial data without taking into account another important dimension: time. Besides, very few of the existing spatiotemporal compression algorithms, which cannot determine whether the final compression result is optimal, use optimization algorithms such as Genetic Algorithm (GA) and Particle Swam Optimation (PSO) algorithm. With these two points in mind, we propose a new trajectory compression algorithm based on the GA, PSO, and Douglas-Peucker algorithms to compress time-stamped position data. Experimental results illustrate that this compression method can archive large data compression ratio and high accuracy, and especially, can obtain the optimal or suboptimum compression result.
语种: 英语
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/13824
Appears in Collections:信息服务与智能控制技术研究室_会议论文

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Recommended Citation:
吴俊伟; 朱云龙; 库涛; 王亮.A Novel Compression Algorithm for Spatiotemporal Data Based on PSO and GA.见:Scientific Research Publishing.International Conference on Computational Intelligence and Software Engineering (CiSE 2012),USA,2012,13-16
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