feature-discovery/org.meshtastic.feature.discovery.scan/RankingScoreBreakdown

RankingScoreBreakdown

data class RankingScoreBreakdown(val uniqueNodeCount: Int, val neighborDiversity: Int, val nonDupePacketCount: Int, val medianSnr: Float, val medianRssi: Int, val bestKnownDistance: Double, val failurePenalty: Double)(source)

Per-criterion score breakdown for a ranked preset.

Constructors

RankingScoreBreakdown

constructor(uniqueNodeCount: Int, neighborDiversity: Int, nonDupePacketCount: Int, medianSnr: Float, medianRssi: Int, bestKnownDistance: Double, failurePenalty: Double)

Properties

bestKnownDistance

val bestKnownDistance: Double

Criterion 5: best known distance to a valid-position node (metres).

val failurePenalty: Double

Criterion 6: failure/reconnect penalty (packet failure rate).

val medianRssi: Int

Criterion 4b: median RSSI across discovered nodes (tiebreak within criterion 4).

val medianSnr: Float

Criterion 4a: median SNR across discovered nodes.

neighborDiversity

val neighborDiversity: Int

Criterion 2: neighbor-report diversity (direct + mesh neighbor count).

nonDupePacketCount

val nonDupePacketCount: Int

Criterion 3: non-duplicate packet count (numPacketsRx - numRxDupe).

uniqueNodeCount

val uniqueNodeCount: Int

Criterion 1: unique discovered node count.