{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:36:41Z","timestamp":1760240201292,"version":"build-2065373602"},"reference-count":42,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2019,3,28]],"date-time":"2019-03-28T00:00:00Z","timestamp":1553731200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61502230","61501224","61073197"],"award-info":[{"award-number":["61502230","61501224","61073197"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20150960"],"award-info":[{"award-number":["BK20150960"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key R&amp;D Program of China","award":["2018YFC0808500"],"award-info":[{"award-number":["2018YFC0808500"]}]},{"name":"Natural Science Foundation of the Jiangsu Higher Education Institutions of China","award":["15KJB520015"],"award-info":[{"award-number":["15KJB520015"]}]},{"name":"National Engineering Research Center Program of Communications and Networking","award":["GCZX012"],"award-info":[{"award-number":["GCZX012"]}]},{"name":"Nanjing Municipal Science and Technology Plan Project","award":["201608009"],"award-info":[{"award-number":["201608009"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>Compressed sensing based in-network compression methods which minimize data redundancy are critical to cognitive video sensor networks. However, most existing methods require a large number of sensors for each measurement, resulting in significant performance degradation in energy efficiency and quality-of-service satisfaction. In this paper, a cluster-based distributed compressed sensing scheme working together with a quality-of-service aware routing framework is proposed to deliver visual information in cognitive video sensor networks efficiently. First, the correlation among adjacent video sensors determines the member nodes that participate in a cluster. On this basis, a sequential compressed sensing approach is applied to determine whether enough measurements are obtained to limit the reconstruction error between decoded signals and original signals under a specified reconstruction threshold. The goal is to maximize the removal of unnecessary traffic without sacrificing video quality. Lastly, the compressed data is transmitted via a distributed spectrum-aware quality-of-service routing scheme, with an objective of minimizing energy consumption subject to delay and reliability constraints. Simulation results demonstrate that the proposed approach can achieve energy-efficient data delivery and reconstruction accuracy of visual information compared with existing quality-of-service routing schemes.<\/jats:p>","DOI":"10.3390\/e21040345","type":"journal-article","created":{"date-parts":[[2019,3,29]],"date-time":"2019-03-29T03:50:21Z","timestamp":1553831421000},"page":"345","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["CDCS: Cluster-Based Distributed Compressed Sensing to Facilitate QoS Routing in Cognitive Video Sensor Networks"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8804-2787","authenticated-orcid":false,"given":"Hang","family":"Shen","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, Nanjing Tech University, Nanjing 211816, China"},{"name":"National Engineering Research Center of Communications and Networking, Nanjing University of Posts and Telecommunications, Nanjing 210003, China"}]},{"given":"Lingli","family":"Li","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Nanjing Tech University, Nanjing 211816, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6152-4292","authenticated-orcid":false,"given":"Tianjing","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Nanjing Tech University, Nanjing 211816, China"}]},{"given":"Guangwei","family":"Bai","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Nanjing Tech University, Nanjing 211816, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,3,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.jnca.2016.05.013","article-title":"Routing in wireless multimedia sensor networks: A survey and challenges ahead","volume":"71","author":"Shen","year":"2016","journal-title":"J. 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