A dynamic QoS provisioning call admission control in cellular mobile using fuzzy logic

Seth, Anita; Gupta, H. M.

doi:10.1504/ijwmc.2012.051512

Cited by 5 publications

(1 citation statement)

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“…Using a fuzzy logic controller will result in an improvement in decision making and a reduction in resource consumption. Some areas where fuzzy logic has been used include a cluster head selection (Shelke et al, 2016), security (Yang et al, 2016), data collection (Lazzerini et al, 2006), routing (Kim and Cho, 2007), MAC protocol (Xia et al, 2007) and quality of service (QoS) (Seth and Gupta, 2012).…”

Section: Fuzzy Logic Controllermentioning

confidence: 99%

A fuzzy priority based congestion control scheme in wireless body area networks

Pasandideh¹,

Rezaee²

2018

IJWMC

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Congestion management is one of the major challenges in wireless body area network (WBAN) applications. This study proposes a technique similar to the random early detection (RED) active queue management (AQM) to indicate congestion. A two-input-single-output fuzzy logic system is used to dynamically adjust the maximum drop probability (maxp) parameter of the RED algorithm, then two adaptive values the minimum threshold (minth) and the maximum threshold (maxth) are used to estimate the congestion level of each sensor nodes. We adjust send rate of the parent node with a fuzzy logical controller (FLC) based on the child's node traffic load, considering the different amounts of data being transmitted. The simulation results show that the proposed protocol achieves high performance as compared to PCCP and PHTCCP, in terms of packet loss, end-to-end delay and energy.

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