2017
DOI: 10.1016/j.compeleceng.2017.10.003
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Channel quality and utilization metric for interference estimation in Wireless Mesh Networks

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Cited by 10 publications
(4 citation statements)
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References 23 publications
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“…Average residual energy of all nodes is gathered by passing a RREQ between them. [35][36][37][38] The source initiates the process by broadcasting RREQ packet. Each node receive RREQ wait for a predetermined amount of time to wait for copies of the same RREQ, update energy field with current residual energy and pass the query to its downstream neighbors.…”
Section: Path Selectionmentioning
confidence: 99%
“…Average residual energy of all nodes is gathered by passing a RREQ between them. [35][36][37][38] The source initiates the process by broadcasting RREQ packet. Each node receive RREQ wait for a predetermined amount of time to wait for copies of the same RREQ, update energy field with current residual energy and pass the query to its downstream neighbors.…”
Section: Path Selectionmentioning
confidence: 99%
“…Interference is estimated by incorporating Bayesian estimator and using it together with Channel bandwidth; following this, the available ELC is then deduced. Potential candidate links are selected by comparing ETL with ELC . These candidate links are bifurcated for choosing highly critical links by also taking into consideration the ripple effects.…”
Section: Proposed Modelmentioning
confidence: 99%
“…For instance, the transmitted signals are susceptible to a variety of impairments, such as inter-symbol interference (ISI), doppler shift (DS), and multipath fading. All of these things hurt the recovered signals and tend to slow down and limit the amount of data that can be sent and received during data communication [1]. It is imperative to reduce the negative effects of channel-induced impairments in order to boost the data transfer rates that can be achieved during transmission.…”
Section: Introductionmentioning
confidence: 99%