{"paper":{"title":"Signaling in sensor networks for sequential detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SY","authors_text":"Ashutosh Nayyar, Demosthenis Teneketzis","submitted_at":"2014-03-12T22:20:39Z","abstract_excerpt":"Sequential detection problems in sensor networks are considered. The true state of nature/true hypothesis is modeled as a binary random variable $H$ with known prior distribution. There are $N$ sensors making noisy observations about the hypothesis; $\\mathcal{N} =\\{1,2,\\ldots,N\\}$ denotes the set of sensors. Sensor $i$ can receive messages from a subset $\\mathcal{P}^i \\subset \\mathcal{N}$ of sensors and send a message to a subset $\\mathcal{C}^i \\subset \\mathcal{N}$. Each sensor is faced with a stopping problem. At each time $t$, based on the observations it has taken so far and the messages it"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1403.3126","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"}