NDLI: Optimum sensing of a time-varying random event with energy harvesting power sources

Content Provider	IEEE Xplore Digital Library
Author	Jingxian Wu Akingeneye, I. Jing Yang
Copyright Year	2015
Description	Author affiliation: Dept. of Electr. Eng., Univ. of Arkansas, Fayetteville, AR, USA (Jingxian Wu; Akingeneye, I.; Jing Yang)
Abstract	In this paper, we study the optimum estimation of a continuous-time random process by using discrete-time samples taken by a sensor powered by energy harvesting power sources. The system employs a best-effort sensing scheme to cope with the stochastic nature of the energy harvesting sources. The best-effort sensing scheme defines a set of equally-spaced candidate sensing instants, and the sensor performs sensing at a given candidate sensing instant if there is sufficient energy available, and remains silent otherwise. It is shown through asymptotic analysis that when the energy harvesting rate is strictly less than the energy consumption rate, there is a non-negligible percentage of silent symbols due to energy outage. For a given average energy harvesting rate, a larger sampling period means a smaller energy outage probability and/or more energy per sample, but a weaker temporal correlation between two adjacent samples. Such a tradeoff relationship is captured by developing a closed-form expression of the estimation MSE, which analytically identifies the interactions among the various system parameters, such as the ratio between the energy harvesting rate and energy consumption rate, the sampling period, and the energy allocation between sensing and transmission. It is shown through theoretical analysis that the optimum performance can be achieved by adjusting the sampling period and sampling energy such that the average energy harvesting rate is equal to the average consumption rate.
Starting Page	1134
Ending Page	1138
File Size	145870
Page Count	5
File Format	PDF
ISSN	21578117
e-ISBN	9781467377041
DOI	10.1109/ISIT.2015.7282632
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensors Energy harvesting Resource management Energy consumption Random processes Estimation Correlation MSE stochastic energy sources optimum sampling
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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