A low complexity online controller using fuzzy logic in energy harvesting WSNs View Full Text


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Article Info

DATE

2019-04

AUTHORS

Talha Azfar, Waqas Ahmed, Abdul Haseeb, Rizwan Ahmad, Sufi Tabassum Gul, Fu-Chun Zheng

ABSTRACT

In this paper, we present a fuzzy logic based scheme for a two hop energy harvesting (EH) wireless sensor network (WSN). Incorporating data and energy causality constraints, discrete transmission rates, finite energy and data buffers, a fuzzy model is developed which uses network throughput, battery level and channel gain as inputs. The fuzzy scheme is then compared with optimum, modified optimum, and Markov decision process (MDP) schemes in terms of computational complexity, throughput, battery level and data buffer capacity. The throughput results show that the fuzzy online scheme preforms closely to the compared schemes and avoids battery depletion even when the number of discrete transmission rates are increased. More... »

PAGES

42305

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Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11432-018-9751-5

DOI

http://dx.doi.org/10.1007/s11432-018-9751-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112457611


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