Adaptive Sampling-Based Information Collection for Wireless Body Area Networks

Sensors

Fang Zhao¹  Xiaobin Xu¹  Hui Tian²  Wendong Wang² 

[1]School of Software Engineering, Beijing University of Posts and Telecommunications, Beijing 10087, China

[2]State Key Laboratory of Networking and Switch Technology, Beijing University of Posts and Telecommunications, Beijing 10087, China

关键词: wireless body area networks;    data collection;    information quantity;    data sampling;   

DOI  :  10.3390/s16091385

来源: DOAJ

【 摘 要 】

To collect important health information, WBAN applications typically sense data at a high frequency. However, limited by the quality of wireless link, the uploading of sensed data has an upper frequency. To reduce upload frequency, most of the existing WBAN data collection approaches collect data with a tolerable error. These approaches can guarantee precision of the collected data, but they are not able to ensure that the upload frequency is within the upper frequency. Some traditional sampling based approaches can control upload frequency directly, however, they usually have a high loss of information. Since the core task of WBAN applications is to collect health information, this paper aims to collect optimized information under the limitation of upload frequency. The importance of sensed data is defined according to information theory for the first time. Information-aware adaptive sampling is proposed to collect uniformly distributed data. Then we propose Adaptive Sampling-based Information Collection (ASIC) which consists of two algorithms. An adaptive sampling probability algorithm is proposed to compute sampling probabilities of different sensed values. A multiple uniform sampling algorithm provides uniform samplings for values in different intervals. Experiments based on a real dataset show that the proposed approach has higher performance in terms of data coverage and information quantity. The parameter analysis shows the optimized parameter settings and the discussion shows the underlying reason of high performance in the proposed approach.

【 授权许可】

Unknown