W. Lin, X. He, M. Juntti and T. Matsumoto, "Binary Data Gathering With a Helper in Internet of Things: Distortion Analysis and Performance Evaluation," in IEEE Access, vol. 7, pp. 12855-12867, 2019. doi: 10.1109/ACCESS.2019.2893019
Binary data gathering with a helper in internet of things : distortion analysis and performance evaluation
|Author:||Lin, Wensheng1; He, Xin2; Juntti, Markku3;|
1School of Information Science, Japan Advanced Institute of Science and Technology, Ishikawa 923-1292, Japan
2School of Computer and Information, Anhui Normal University, Wuhu 241002, China
3Centre for Wireless Communications, University of Oulu, 90014 Oulu, Finland
|Online Access:||PDF Full Text (PDF, 1.8 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019052817427
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2019-05-28
This paper focuses on one-helper assisted binary data gathering networks, for example, such as in Internet of Things, where a destination makes estimates of binary data relying on a number of agents and one helper. Due to the noise, corrupting errors already exist in the agent observations. To analyze the performance of this system, we formulate this system as a binary chief executive officer (CEO) problem with a helper. Initially, we use a successive decoding scheme to decompose the binary CEO problem with a helper into the multiterminal source coding and final decision problems. Then, we present an outer bound on the rate-distortion region for multiterminal source coding with binary sources and a helper. After solving a convex optimization problem formulated from the derived outer bound, we obtain the final distortion by substituting the minimized distortions of observation into the distortion propagating function, which is derived to bridge the relationship between the joint decoding results and final decision. Finally, we analyze the trade-off of rate-distortion through theoretical calculation and simulations. Both the theoretical and simulation results demonstrate that a helper can obviously reduce the signal-to-noise ratio threshold. We also have an in-depth discussion on the differences of system performance improvement between locating a helper and including an additional agent.
|Pages:||12855 - 12867|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported in part by the China Scholarship Council (CSC), in part by JAIST Core-to-Core Program, in part by the National Natural Science Foundation of China (NSFC), under Grant 61702011, in part by the Anhui Provincial Natural Science Foundation, under Grant 1808085QF191, and in part by the Academy of Finland 6Genesis Flagship under Grant 318927.
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
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