@inproceedings{45ed86d9e8384f4f9b3ca4753c4c3725,
title = "A signal detection scheme for wireless sensor networks based on convex optimization",
abstract = "Identifying and detecting the unknown abnormal sparse signal has become an important issue for distributed networks. In this paper, we proposed a new detection scheme based on convex optimization for wireless sensor networks. Under the Neyman-Pearson testing framework, the detection scheme first estimates the unknown signal by employing the convex optimization at the fusion center. Then the sensor nodes transmit sufficient statistics rather than raw data to the fusion center. It is verified that the proposed distributed detection scheme has performance in close proximity to ideal detector with less than one third of communication overhead compared with the centralized scheme.",
keywords = "WSNs, convex optimization, distributed detection scheme, sparse signal",
author = "Hongbo Zhao and Lei Chen and Wenquan Feng",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 15th IEEE Sensors Conference, SENSORS 2016 ; Conference date: 30-10-2016 Through 02-11-2016",
year = "2016",
month = jan,
day = "5",
doi = "10.1109/ICSENS.2016.7808713",
language = "英语",
series = "Proceedings of IEEE Sensors",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE Sensors, SENSORS 2016 - Proceedings",
address = "美国",
}