{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:OEFMB227XXSNMLGU4DZZWX2MTM","short_pith_number":"pith:OEFMB227","schema_version":"1.0","canonical_sha256":"710ac0eb5fbde4d62cd4e0f39b5f4c9b0dd9783b6ee357ad62c44cb985c6a274","source":{"kind":"arxiv","id":"1608.03875","version":1},"attestation_state":"computed","paper":{"title":"Sensor Selection and Power Allocation Strategies for Energy Harvesting Wireless Sensor Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Carles Ant\\'on-Haro, Javier Matamoros, Miguel Calvo-Fullana","submitted_at":"2016-08-12T18:59:23Z","abstract_excerpt":"In this paper, we investigate the problem of jointly selecting a predefined number of energy-harvesting (EH) sensors and computing the optimal power allocation. The ultimate goal is to minimize the reconstruction distortion at the fusion center. This optimization problem is, unfortunately, non-convex. To circumvent that, we propose two suboptimal strategies: (i) a joint sensor selection and power allocation (JSS-EH) scheme that, we prove, is capable of iteratively finding a stationary solution of the original problem from a sequence of surrogate convex problems; and (ii) a separate sensor sele"},"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":"1608.03875","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2016-08-12T18:59:23Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"bc2a11f51db00330d30cdd98c5bcdcd8b8aa227238c5a282f6c01572f30a6e0b","abstract_canon_sha256":"936298f8d12f370505e754c5549d9191817dd0e5bbb42863e563b441b6179ad2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:09:11.131869Z","signature_b64":"kMiIoqkQykpwDqbe5zxPmUOrPqrDp8xRDxAUuluwdj+TnbXLgOIbOp1CqBb8qsoXvdierRACefGaFBZgUdDmBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"710ac0eb5fbde4d62cd4e0f39b5f4c9b0dd9783b6ee357ad62c44cb985c6a274","last_reissued_at":"2026-05-18T01:09:11.131242Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:09:11.131242Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Sensor Selection and Power Allocation Strategies for Energy Harvesting Wireless Sensor Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Carles Ant\\'on-Haro, Javier Matamoros, Miguel Calvo-Fullana","submitted_at":"2016-08-12T18:59:23Z","abstract_excerpt":"In this paper, we investigate the problem of jointly selecting a predefined number of energy-harvesting (EH) sensors and computing the optimal power allocation. The ultimate goal is to minimize the reconstruction distortion at the fusion center. This optimization problem is, unfortunately, non-convex. To circumvent that, we propose two suboptimal strategies: (i) a joint sensor selection and power allocation (JSS-EH) scheme that, we prove, is capable of iteratively finding a stationary solution of the original problem from a sequence of surrogate convex problems; and (ii) a separate sensor sele"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.03875","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":""},"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":"1608.03875","created_at":"2026-05-18T01:09:11.131359+00:00"},{"alias_kind":"arxiv_version","alias_value":"1608.03875v1","created_at":"2026-05-18T01:09:11.131359+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.03875","created_at":"2026-05-18T01:09:11.131359+00:00"},{"alias_kind":"pith_short_12","alias_value":"OEFMB227XXSN","created_at":"2026-05-18T12:30:36.002864+00:00"},{"alias_kind":"pith_short_16","alias_value":"OEFMB227XXSNMLGU","created_at":"2026-05-18T12:30:36.002864+00:00"},{"alias_kind":"pith_short_8","alias_value":"OEFMB227","created_at":"2026-05-18T12:30:36.002864+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/OEFMB227XXSNMLGU4DZZWX2MTM","json":"https://pith.science/pith/OEFMB227XXSNMLGU4DZZWX2MTM.json","graph_json":"https://pith.science/api/pith-number/OEFMB227XXSNMLGU4DZZWX2MTM/graph.json","events_json":"https://pith.science/api/pith-number/OEFMB227XXSNMLGU4DZZWX2MTM/events.json","paper":"https://pith.science/paper/OEFMB227"},"agent_actions":{"view_html":"https://pith.science/pith/OEFMB227XXSNMLGU4DZZWX2MTM","download_json":"https://pith.science/pith/OEFMB227XXSNMLGU4DZZWX2MTM.json","view_paper":"https://pith.science/paper/OEFMB227","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1608.03875&json=true","fetch_graph":"https://pith.science/api/pith-number/OEFMB227XXSNMLGU4DZZWX2MTM/graph.json","fetch_events":"https://pith.science/api/pith-number/OEFMB227XXSNMLGU4DZZWX2MTM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OEFMB227XXSNMLGU4DZZWX2MTM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OEFMB227XXSNMLGU4DZZWX2MTM/action/storage_attestation","attest_author":"https://pith.science/pith/OEFMB227XXSNMLGU4DZZWX2MTM/action/author_attestation","sign_citation":"https://pith.science/pith/OEFMB227XXSNMLGU4DZZWX2MTM/action/citation_signature","submit_replication":"https://pith.science/pith/OEFMB227XXSNMLGU4DZZWX2MTM/action/replication_record"}},"created_at":"2026-05-18T01:09:11.131359+00:00","updated_at":"2026-05-18T01:09:11.131359+00:00"}