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论文类型：期刊论文

发表时间：2018-01-01

发表刊物：INTERNATIONAL JOURNAL OF SENSOR NETWORKS

收录刊物：SCIE

卷号：28

期号：3

页面范围：149-164

ISSN号：1748-1279

关键字：data collection; sensed data model; approximate algorithms; WSNs; wireless sensor networks

摘要：Data collection is a fundamental task in wireless sensor networks (WSNs). For a given filter, the sensor node sends the update to the base station if the sensed data is beyond the range of the filter. In this paper, we investigate the accuracy-aware approach for approximate data collection. The filter assignment for optimising the average of valid filter time is formalised as an integer optimisation problem and the hardness of this problem is proven to be NP-Complete. A greedy heuristic based algorithm with low computation overhead is proposed. To balance the valid filter time, the filter assignment for optimising the minimum valid time is formalised as a general max-min problem. We analyse the hardness of the problem and propose an approximation algorithm. The experimental results show that our algorithms achieve better results in terms of communication cost and expected time of valid filters.