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所属单位：计算机科学与技术学院/人工智能学院/软件学院
发表刊物：WIRELESS COMMUNICATIONS & MOBILE COMPUTING
摘要：Compressed sensing for wireless sensor networks has attracted a lot of research attention in the last decade for its advantages in energy saving, robustness, and so on. Nevertheless, existing solutions mostly focus on the data compression performance while neglecting the energy efficiency. In this paper, we first present the joint resource allocation problem formulation based on compressed sensing. Then a distributed algorithm to compute the sampling rate and routes utilizing local network status is proposed. We conduct extensive experiments based on meteorological wireless sensor networks to verify the merit of our mechanism; it is shown that the proposed mechanism is able to achieve very high efficiency in terms of network lifetime and sensing quality compared with existing approaches.
ISSN号：1530-8669
是否译文：否
发表时间：2018-01-01
合写作者：F70206470,Zhang, Baoxian,庄毅,陈兵
通讯作者：Zhang, Baoxian,郝洁