W. Lin and T. Matsumoto, "Performance Analysis of Distortion-Acceptable Cooperative Communications in Wireless Sensor Networks for Internet of Things," in IEEE Sensors Journal, vol. 19, no. 5, pp. 1979-1989, 1 March1, 2019. doi: 10.1109/JSEN.2018.2882839
Performance analysis of distortion-acceptable cooperative communications in wireless sensor networks for Internet of Things
|Author:||Lin, Wensheng1; Matsumoto, Tad1,2|
1School of Information Science, Japan Advanced Institute of Science and Technology, Nomi, Japan
2Centre for Wireless Communications, University of Oulu, 90014 Oulu, Finland
|Online Access:||PDF Full Text (PDF, 2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019092529688
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2019-09-25
This paper analyzes the performance limit of cooperative communications in wireless sensor networks (WSNs), with the aim of utilizing the analytical results for practical applications, for example, Internet of Things (IoT). The observation of a primary sensor is not necessarily to be reconstructed losslessly, as long as the system can make correct judgements and operations. At first, we perform the theoretical analysis to derive an inner bound on the achievable rate-distortion region for the lossy communications with helpers. The numerical results precisely match the Wyner-Ziv theorem when there is only one assisting link and no rate constraint on the assisting link. Then, we present a distributed encoding and joint decoding scheme for cooperative communications in WSNs. Moreover, a series of simulations are conducted for the performance evaluation and verification. Although there is an obvious gap between the theoretical and simulation results, the performance curves show similar tendencies in terms of the signal-to-noise ratio versus bit error rate.
IEEE sensors journal
|Pages:||1979 - 1989|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work is funded in part by China Scholarship Council (CSC) and in part by JAIST Core-to-Core Program. This work has been also performed in part under JSPS Kakenhi (B)15H04007.
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