Title :
Quantization for Distributed Estimation
Author :
Kuan-Yu Chen ; Kwang-Cheng Chen
Author_Institution :
Grad. Inst. of Commun. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Abstract :
Distributed Estimation scheme has been widely used in sensor networks. Through various approaches, sum of bits, Sigma-Delta modulation, and source coding, this paper implements the above techniques for distributed estimation and provides a new one called Quantization Region Allocation. In the end, this paper analyzes the performance (minimum mean squared error) and demonstrates performance approximating the soft decision scenario.
Keywords :
least mean squares methods; quantisation (signal); sigma-delta modulation; source coding; distributed estimation scheme; minimum mean squared error; quantization region allocation; sensor networks; sigma-delta modulation; soft decision scenario; source coding; sum of bits; Decoding; Estimation; Modulation; Quantization (signal); Random variables; Resource management; Source coding; Sigma-Delta modulation; distributed estimation; source coding;
Conference_Titel :
Internet of Things (iThings), 2014 IEEE International Conference on, and Green Computing and Communications (GreenCom), IEEE and Cyber, Physical and Social Computing(CPSCom), IEEE
Print_ISBN :
978-1-4799-5967-9
DOI :
10.1109/iThings.2014.40
