{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:32:52Z","timestamp":1760243572758,"version":"build-2065373602"},"reference-count":81,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2013,9,26]],"date-time":"2013-09-26T00:00:00Z","timestamp":1380153600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Interest in the cognitive radio sensor network (CRSN) paradigm has gradually grown among researchers. This concept seeks to fuse the benefits of dynamic spectrum access into the sensor network, making it a potential player in the next generation (NextGen) network, which is characterized by ubiquity. Notwithstanding its massive potential, little research activity has been dedicated to the network layer. By contrast, we find recent research trends focusing on the physical layer, the link layer and the transport layers. The fact that the cross-layer approach is imperative, due to the resource-constrained nature of CRSNs, can make the design of unique solutions non-trivial in this respect. This paper seeks to explore possible design opportunities with wireless sensor networks (WSNs), cognitive radio  ad-hoc networks (CRAHNs) and cross-layer considerations for implementing viable CRSN routing solutions. Additionally, a detailed performance evaluation of WSN routing strategies in a cognitive radio environment is performed to expose research gaps. With this work, we intend to lay a foundation for developing CRSN routing solutions and to establish a basis for future work in this area.<\/jats:p>","DOI":"10.3390\/s131013005","type":"journal-article","created":{"date-parts":[[2013,9,26]],"date-time":"2013-09-26T12:48:59Z","timestamp":1380199739000},"page":"13005-13038","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Assessing Routing Strategies for Cognitive Radio  Sensor Networks"],"prefix":"10.3390","volume":"13","author":[{"given":"Suleiman","family":"Zubair","sequence":"first","affiliation":[{"name":"UTM-MIMOS Centre of Excellence in Telecommunication Technology,  Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Malaysia"}]},{"given":"Norsheila","family":"Fisal","sequence":"additional","affiliation":[{"name":"UTM-MIMOS Centre of Excellence in Telecommunication Technology,  Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Malaysia"}]},{"given":"Yakubu","family":"Baguda","sequence":"additional","affiliation":[{"name":"UTM-MIMOS Centre of Excellence in Telecommunication Technology,  Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Malaysia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8062-3301","authenticated-orcid":false,"given":"Kashif","family":"Saleem","sequence":"additional","affiliation":[{"name":"Center of Excellence in Information Assurance (CoEIA), King Saud University, 11195 Riyadh,  Saudi Arabia"}]}],"member":"1968","published-online":{"date-parts":[[2013,9,26]]},"reference":[{"key":"ref_1","unstructured":"Federal Communications Commission (FCC) Available online: http:\/\/www.fcc.gov\/document\/facilitating-opportunities-flexible-efficient-and-reliable-spectrum-use-employing-cognitive."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1109\/MNET.2009.5191144","article-title":"Cognitive radio sensor networks","volume":"23","author":"Akan","year":"2009","journal-title":"IEEE Netw."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1109\/JSTSP.2010.2093210","article-title":"Advances in cognitive radio networks: A survey","volume":"5","author":"Wang","year":"2011","journal-title":"IEEE J. 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