A novel wireless topology control algorithm with energy balance and low-overhead based on adaptive fuzzy neural network

Li, Feng

doi:10.1007/s12652-019-01461-5

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…In this model, a utility function in terms of energy cost, connectivity, and throughput values is formed. (10) At this time, Game theory model is used in which every participant aptly chooses the best TPL i to maximize their utility function.…”

Section: Utility Function For Tpcmentioning

confidence: 99%

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Game theory based adaptive transmit power control algorithm for IoT wireless sensor networks

Yadav¹,

Saad²

2021

IJST

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Objectives: To design a transmission power control (TPC) algorithm for the Internet of Things (IoT) based Wireless Sensor Networks (WSN) such that the energy cost is reduced and the expected throughput is increased. Method: In this study, a Game theory based adaptive transmit power control (GT-ATPC) algorithm for IoT-WSN is proposed. In this algorithm, for each sender, the initial transmission power level (TPL) is determined from the difference of Received Signal Strength (RSS) measurements at the base station (BS). The TPL is adaptively adjusted by means of Game theory. For each sender, the expected throughput, energy cost and connectivity values are estimated from which a utility function is derived. Findings: By simulation results, it has been shown that GT-ATPC attains 37% higher throughput with 57% reduced energy cost and 30% lesser overhead when compared with GTS-PM approach. Novelty: The TPL of a node is adjusted based on the estimated values of utility function such that the throughput and connectivity is high and energy cost is less.

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Section: Utility Function For Tpcmentioning

confidence: 99%

“…TPC can be achieved by means of effective topology control also. In (10) , a wireless topology control algorithm for WSN, based on an adaptive fuzzy neural control system has been proposed. In this algorithm, ANN is trained to obtain the parameters of the Fuzzy controller.…”

Section: Introductionmentioning

confidence: 99%