Efficient DV-HOP Localization for Wireless Cyber-Physical Social Sensing System: A Correntropy-Based Neural Network Learning Scheme

Efficient DV-HOP Localization for Wireless Cyber-Physical Social Sensing System: A Correntropy-Based Neural Network Learning Scheme

Integrating wireless sensor network (WSN) into the emerging computing paradigm, e.g., cyber-physical social sensing (CPSS), has witnessed a growing interest, and WSN can serve as a social network while receiving more attention from the social computing research field. Then, the localization of senso...

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Bibliographic Details
Main Authors: Yang Xu, Xiong Luo, Weiping Wang, Wenbing Zhao
Format: Article
Language:English
Published: MDPI AG 2017-01-01
Series:Sensors
Subjects:
wireless sensor network (WSN)
received signal strength indication (RSSI)
distance vector hop (DV-HOP)
regularized correntropy criterion (RCC)
extreme learning machine (ELM)
Online Access:http://www.mdpi.com/1424-8220/17/1/135

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http://www.mdpi.com/1424-8220/17/1/135

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