{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2008:R7IHRH6G5MF2R7XPLX25LSWHUL","short_pith_number":"pith:R7IHRH6G","schema_version":"1.0","canonical_sha256":"8fd0789fc6eb0ba8feef5df5d5cac7a2cfb26924efe04ac0f52d42edaed854e1","source":{"kind":"arxiv","id":"0808.1062","version":1},"attestation_state":"computed","paper":{"title":"Optimization of Location Management for PCS Networks with CTRW Mobility Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.PF"],"primary_cat":"cs.NI","authors_text":"Qinglin Zhao, Soung C. Liew","submitted_at":"2008-08-07T16:32:51Z","abstract_excerpt":"This paper considers the design of the optimal locationupdate area (LA) of the distance-based scheme for personal communication service (PCS) networks. We focus on the optimization of two design parameters associated with the LA: 1) initial position upon LA update; 2) distance threshold for triggering of LA update. Based on the popular continuous-time random walk (CTRW) mobility model, we propose a novel analytical framework that uses a diffusion equation to minimize the location management cost. In this framework, a number of measurable physical parameters, such as length of road section, ang"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"0808.1062","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2008-08-07T16:32:51Z","cross_cats_sorted":["cs.PF"],"title_canon_sha256":"cf56f247bc2e49b6af09aaaeeb997ac3c6e092c93b87d78046d5de1fd4250219","abstract_canon_sha256":"831054f0f5678c18f4679c33ebc2767427625296a9d6c31f9f91210991b857d5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T15:13:29.350210Z","signature_b64":"3Alaa2jpyeuzElN5H3p1KNO8ZTztuIPghP2JQq/70kmVI2txCqBD/sFGwWGPx2BN6uroloclgUddS5l20wueCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8fd0789fc6eb0ba8feef5df5d5cac7a2cfb26924efe04ac0f52d42edaed854e1","last_reissued_at":"2026-07-04T15:13:29.349729Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T15:13:29.349729Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Optimization of Location Management for PCS Networks with CTRW Mobility Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.PF"],"primary_cat":"cs.NI","authors_text":"Qinglin Zhao, Soung C. Liew","submitted_at":"2008-08-07T16:32:51Z","abstract_excerpt":"This paper considers the design of the optimal locationupdate area (LA) of the distance-based scheme for personal communication service (PCS) networks. We focus on the optimization of two design parameters associated with the LA: 1) initial position upon LA update; 2) distance threshold for triggering of LA update. Based on the popular continuous-time random walk (CTRW) mobility model, we propose a novel analytical framework that uses a diffusion equation to minimize the location management cost. In this framework, a number of measurable physical parameters, such as length of road section, ang"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0808.1062","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/0808.1062/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"0808.1062","created_at":"2026-07-04T15:13:29.349798+00:00"},{"alias_kind":"arxiv_version","alias_value":"0808.1062v1","created_at":"2026-07-04T15:13:29.349798+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.0808.1062","created_at":"2026-07-04T15:13:29.349798+00:00"},{"alias_kind":"pith_short_12","alias_value":"R7IHRH6G5MF2","created_at":"2026-07-04T15:13:29.349798+00:00"},{"alias_kind":"pith_short_16","alias_value":"R7IHRH6G5MF2R7XP","created_at":"2026-07-04T15:13:29.349798+00:00"},{"alias_kind":"pith_short_8","alias_value":"R7IHRH6G","created_at":"2026-07-04T15:13:29.349798+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/R7IHRH6G5MF2R7XPLX25LSWHUL","json":"https://pith.science/pith/R7IHRH6G5MF2R7XPLX25LSWHUL.json","graph_json":"https://pith.science/api/pith-number/R7IHRH6G5MF2R7XPLX25LSWHUL/graph.json","events_json":"https://pith.science/api/pith-number/R7IHRH6G5MF2R7XPLX25LSWHUL/events.json","paper":"https://pith.science/paper/R7IHRH6G"},"agent_actions":{"view_html":"https://pith.science/pith/R7IHRH6G5MF2R7XPLX25LSWHUL","download_json":"https://pith.science/pith/R7IHRH6G5MF2R7XPLX25LSWHUL.json","view_paper":"https://pith.science/paper/R7IHRH6G","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=0808.1062&json=true","fetch_graph":"https://pith.science/api/pith-number/R7IHRH6G5MF2R7XPLX25LSWHUL/graph.json","fetch_events":"https://pith.science/api/pith-number/R7IHRH6G5MF2R7XPLX25LSWHUL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/R7IHRH6G5MF2R7XPLX25LSWHUL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/R7IHRH6G5MF2R7XPLX25LSWHUL/action/storage_attestation","attest_author":"https://pith.science/pith/R7IHRH6G5MF2R7XPLX25LSWHUL/action/author_attestation","sign_citation":"https://pith.science/pith/R7IHRH6G5MF2R7XPLX25LSWHUL/action/citation_signature","submit_replication":"https://pith.science/pith/R7IHRH6G5MF2R7XPLX25LSWHUL/action/replication_record"}},"created_at":"2026-07-04T15:13:29.349798+00:00","updated_at":"2026-07-04T15:13:29.349798+00:00"}