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Existing approaches, including centralized and hybrid scheduling schemes, fail to scale effectively due to their reliance on global coordination and static allocation mechanisms. This paper presents NEMO (neighbourhood\u2010aware efficient management and optimization), a fully decentralized neighbourhood\u2010aware RFID network framework that dynamically optimizes scheduling, power control, and frequency allocation without requiring global coordination. NEMO leverages a novel adaptive scheduling mechanism to mitigate collisions while ensuring fair and efficient tag interrogation. Extensive universal software radio peripheral\u2010based hardware experiments and large\u2010scale simulations with up to 5000 readers and 1,000,000 tags demonstrate that NEMO outperforms state\u2010of\u2010the\u2010art protocols by achieving 25% higher throughput, 30% fewer collisions, 40% reduction in redundant reads, and improved energy efficiency by 18%. Additionally, NEMO exhibits scalability and robustness under extreme network congestion by maintaining high performance even as the numbers of readers and tags increase. The proposed framework is highly applicable to real\u2010world RFID deployments in warehouses, logistics, smart retail, Internet of Things, and industrial automation, where dense RFID environments demand efficient, adaptive, and decentralized resource\u00a0management.<\/jats:p>","DOI":"10.1049\/cmu2.70095","type":"journal-article","created":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T18:29:54Z","timestamp":1761762594000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["NEMO: Neighbourhood\u2010Aware Efficient Management and Optimization in Dense RFID Systems"],"prefix":"10.1049","volume":"19","author":[{"given":"Bernard","family":"Amoah","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering Auburn University Auburn Alabama USA"}]},{"given":"Xiangyu","family":"Wang","sequence":"additional","affiliation":[{"name":"RFID Lab Auburn University Auburn Alabama USA"}]},{"given":"Jian","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering Kennesaw State University Kennesaw Georgia USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7052-0007","authenticated-orcid":false,"given":"Shiwen","family":"Mao","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering Auburn University Auburn Alabama USA"}]},{"given":"Senthilkumar C. 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