LBS中理想的移动台位置更新策略

位置服务（LBS）的许多应用需要记录用户的历史轨速,现有的LBS系统开销比较大,降低了系统的容量。针对这些缺点,提出了一种理想的移动台位王更新策略,通过把用户分成2类,并依据该分类生成了2个动态改变用户定位频率的算法,结合用户的运动状态和用户指定的触发定位距离以及最大定位间隔时间来改变用户定位频率,使得记录下来的用户历史轨迹更加准确,同时提高了移动台位置更新的灵活性。

Optimal geo-location updating strategy in location based service

Many Location Based Service(LBS) Applications need record user's trace,most existing LBS systems position the user after a fixed interval then record its location.Such fixed positioning frequency mechanism is irrational,and the recorded trace will have great defect.On the one hand the location points are dense when the user is moving at a high speed or sparse at a low speed;on the other hand,such positioning mechanism records many unnecessary points so that the system has to endure a great burden which decreases system performance greatly.In order to avoid these defects,this paper introduces an optimal geo-location updating strategy.In the strategy,the users are divided into two kinds.So the authors present two dynamically altering user's positioning frequency algorithms based on this classification.The algorithms combine user's moving state with triggered positioning distance and maximal positioning interval specified by user to alter the user's positioning frequency which makes the user's recorded trace more accurate and greatly increases the flexibility of user's geo-location updating.