Proximity-Based Routing With Trust Scoring: Dynamic Path Selection in Decentralized Networks

Mechanism

When a resolution or mutation request enters a scope, the requesting node enumerates the anchors eligible to serve it under the scope's admission rules. Eligibility is the first filter: an anchor is a candidate only if its credential is currently valid in the scope, its declared service surface includes the requested operation, and its trust score is above the scope's minimum-trust floor. Anchors that fail any of these are excluded before scoring begins; the routing function never weighs paths that the policy already forbids.

The mechanism then computes three proximity dimensions for each remaining candidate. Network proximity is derived from measured round-trip latency, hop count along the underlying transport, or — in mesh deployments — radio-link quality between the requesting node and the candidate. Geographic proximity is computed from the great-circle distance between the requesting node's declared position and the candidate's declared position, with positions themselves drawn from credentialed observations rather than self-reported claims. Semantic proximity is computed from the overlap between the request's declared scope tags and the anchor's declared service tags, expressing how well the anchor's role matches the request's intent.

Each proximity dimension is normalized into a unit interval and combined with the candidate's trust score under a per-scope weighting vector. The scope declares the weights — a low-latency scope weights network proximity heavily; a regulated scope weights trust heavily; a geofenced scope weights geographic proximity heavily; a content-routed scope weights semantic proximity heavily. The result is a composite score per candidate. The candidate with the highest composite score, subject to the bounding rules described below, receives the request.

Bounding is a structural property of the routing function, not a soft preference. The scope declares maximum acceptable values along each dimension: a maximum acceptable latency, a maximum acceptable geographic distance, a minimum acceptable trust score. A candidate that exceeds any maximum or falls below any minimum is excluded regardless of how favorable its other dimensions appear. The bounded routing function therefore cannot, under any combination of weights, produce a path that violates the scope's hard limits.

Every routing decision emits an audit record. The record captures the candidate set, the proximity measurements and trust scores at the time of selection, the weighting vector applied, the composite scores produced, the bounding checks performed, and the selected path. The audit record is signed by the requesting node and persisted within the scope's governance ledger. A reviewer can replay the decision against the recorded inputs and verify that the same routing function would have produced the same selection — the routing decision is reproducible, not merely justifiable in retrospect.

Operating Parameters

Proximity-measurement cadence governs how frequently the proximity inputs are refreshed. Aggressive cadences produce routing that tracks current network conditions closely but consume measurement bandwidth; relaxed cadences amortize measurement cost across many decisions but can route on stale data. Cadence is typically declared per scope, with safety-critical scopes refreshing on every decision and best-effort scopes refreshing on a periodic background sweep.

The weighting vector is the scope's primary tuning surface. A vector heavily favoring network proximity produces lowest-latency routing; one heavily favoring trust produces governance-first routing; one balancing the two produces hybrid behavior. Weighting vectors can be declared per-action-type within a scope, so that read operations route on a low-latency vector while mutation operations route on a trust-weighted vector — the same scope, different vectors, different effective topologies.

Bounding values define the hard limits the routing function will not violate. A scope serving real-time control might bound maximum acceptable latency at a few milliseconds; a scope serving regulated record-keeping might bound minimum trust score near unity. Bounds are typically tightened over the lifetime of a deployment as the scope's operators learn what the deployment actually requires.

Audit-record retention period determines how long routing audits are persisted. Short retention is appropriate for high-volume telemetry where forensic depth is unnecessary; long retention is appropriate for regulated, safety-critical, or contested scopes where after-the-fact dispute resolution may occur years after the fact. Retention is independent of payload retention; routing audits can outlive the payloads whose paths they document.

Tie-breaking rules apply when two or more candidates produce indistinguishable composite scores. Default tie-breaking rotates selection across the tied candidates to avoid hot-spotting; deterministic tie-breaking (e.g., lowest-identifier-first) is available for scopes that prefer reproducibility over load distribution. The choice is configurable per scope.

Re-evaluation cadence determines how often a routing decision is reconsidered for an in-flight conversation. Streaming sessions with long-lived state may be pinned to their initial path until trust degrades; transactional requests are routed independently each time. The cadence balances stability against responsiveness to changing conditions.

Alternative Embodiments

One embodiment routes resolution traffic in a multi-region content-delivery scope, weighting network proximity heavily for cache reads while weighting trust heavily for origin writes. The same scope topology serves both, but the effective routing differs by action type because the weighting vectors differ.

A second embodiment routes IoT telemetry in an edge-deployment scope where geographic proximity governs which gateway absorbs each device's payload. Trust-score weighting prevents an attacker from spinning up a low-cost rogue gateway near target devices and absorbing their telemetry: the rogue gateway, lacking accumulated trust, is excluded by the minimum-trust bound regardless of its physical proximity.

A third embodiment routes federated query traffic across institutional boundaries, weighting semantic proximity (alignment of declared service tags with the query's intent) so that a query for radiology imaging is routed to anchors whose declared service tags include radiology rather than to any geographically near anchor that happens to be reachable.

A fourth embodiment runs in vehicular mesh, where network proximity is measured by radio-link quality and geographic proximity tracks the moving frame of the requesting vehicle. The bounded routing function prevents the vehicle from issuing a request to a distant anchor that, although highly trusted, would not produce a response within the vehicle's safety-relevant deadline.

A fifth embodiment composes proximity-routing with the multi-anchor consensus mechanism: rather than selecting a single anchor, the routing function selects a set of the top-N candidates and dispatches the request to all, accepting the first valid response that satisfies the scope's quorum policy. The composite score is used to rank the set rather than to pick a singleton.

A sixth embodiment runs in regulated finance, where the trust dimension dominates and the bounding values are tight enough that, in practice, a small number of audited anchors are eligible at any given time. Proximity becomes a tie-breaker among the audited set rather than a primary driver, but the same routing function and audit record format apply uniformly.

Composition With Adjacent Primitives

Proximity-routing composes with the adaptive index's trust-weighted voting mechanism, which is the source of the per-anchor trust scores consumed by the routing function. The voting mechanism updates trust scores in response to observed anchor behavior; the routing function consumes those updated scores on its next decision. The two run on independent cadences but share the trust-score store as their interface.

It composes with credentialed positioning: the geographic proximity dimension consumes signed position observations rather than self-reported coordinates. An anchor that misrepresents its position to attract nearby traffic fails credential verification and is excluded from the candidate set, so geographic proximity cannot be gamed without first defeating the credential layer.

It composes with mobile store-and-forward: when a mobile carrier comes into contact with multiple receivers, the same proximity-routing function selects forward targets, applying the same weighting and bounding rules. The carrier therefore does not need a separate routing policy for stored payload; it inherits the scope's routing policy uniformly.

It composes with cross-mesh reconciliation: at gateway nodes between meshes, proximity-routing selects which downstream anchor receives a reconciled payload. The bounding rules at the gateway can be tighter than internal bounding (a gateway may admit only highest-trust anchors) without changing the underlying routing function.

It composes with the audit ledger that backs scope governance: the routing audit record is itself a credentialed observation written into the scope's ledger, subject to the same retention, replication, and dispute-resolution policy as any other governed record. Routing decisions are not ephemeral; they are first-class auditable artifacts.

It composes with policy versioning: when a scope's weighting vector or bounding values change, the change is itself a credentialed mutation in the scope ledger, and routing audits produced before and after the change reference the policy version under which they ran. A reviewer can determine, for any historical decision, exactly which policy was in effect at the time.

Prior-Art Distinction

Anycast routing in DNS and IP networks routes to the nearest replica by network metric, but it does not consider trust or governance scope. A compromised anycast node nearer the client wins the route by definition. The disclosed architecture adds the trust dimension and the bounding floor, structurally excluding compromised-but-near nodes.

Content delivery networks (CDNs) route to edges by latency, sometimes augmented by simple health checks and capacity. They do not maintain per-edge trust scores updated by observed governance behavior, do not enforce minimum-trust bounds, and do not emit reproducible routing audits suitable for after-the-fact governance review. The disclosed architecture replaces ad-hoc health-checked routing with a bounded, audit-required composite function.

Distributed hash tables (DHTs) such as Kademlia and Chord route by identifier proximity in a synthetic key space, ignoring the network's physical topology, the candidates' governance state, and the request's semantic intent. The disclosed architecture's multi-dimensional proximity composition is not expressible in a DHT routing model.

BGP and other inter-domain routing protocols select paths by policy expressed in static configuration, with no runtime trust-score input and no per-decision audit record. Operator policy changes propagate slowly and are not bound to per-decision evidence. The disclosed architecture binds policy, evidence, and selection into a single audited decision.

Trust-routing research in ad-hoc networks (e.g., trust-aware AODV variants) has explored single-dimensional trust weighting in routing, but typically without the bounding-floor structural guarantee, without per-scope policy variation, and without the audit-record requirement that makes the decision reproducible. The disclosed architecture differs in that the routing function is structurally bounded, the policy is per-scope and versioned, and every decision emits a credentialed audit artifact.

Disclosure Scope

The disclosure encompasses the routing function that combines multiple proximity dimensions with per-anchor trust scores under a per-scope weighting vector and per-scope bounding rules, the structural exclusion of candidates failing eligibility or bounding checks, the credentialed routing audit record produced for each decision, and the composition of the routing function with the trust-score, credential, ledger, and reconciliation primitives that surround it.

The disclosed scope contemplates network, geographic, semantic, and additional proximity dimensions; per-action-type weighting within a scope; configurable bounding floors and ceilings; configurable audit retention; and tie-breaking strategies ranging from rotating to deterministic. It contemplates implementation in CDN, IoT, vehicular, federated, regulated, and tactical operating contexts. Implementations that bound routing under credentialed inputs and emit reproducible audit records are within the disclosure regardless of the underlying transport.