{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T12:37:12Z","timestamp":1763642232770,"version":"build-2065373602"},"reference-count":26,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2017,5,16]],"date-time":"2017-05-16T00:00:00Z","timestamp":1494892800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>This paper considers the deployment of a cognitive radio scheme in wireless sensor networks to achieve (1) fair spectrum allocation, (2) maximum spectrum utilization, and (3) priority-based sensor transmissions, while (4) avoiding unnecessary spectrum handover (or handoff). This problem is modelled as a bi-objective optimization problem. We apply modified game theory and a cooperative approach to identify an approximate optimal solution in reasonable time. We perform a series of numerical experiments to show that our scheme achieves fair spectrum allocation (in terms of proportional fairness) while observing transmission priorities and minimizing unnecessary spectrum handover.<\/jats:p>","DOI":"10.3390\/sym9050073","type":"journal-article","created":{"date-parts":[[2017,5,16]],"date-time":"2017-05-16T11:42:11Z","timestamp":1494934931000},"page":"73","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Fair Dynamic Spectrum Allocation Using Modified Game Theory for Resource-Constrained Cognitive Wireless Sensor Networks"],"prefix":"10.3390","volume":"9","author":[{"given":"Sang-Seon","family":"Byun","sequence":"first","affiliation":[{"name":"Department of Computer Engineering, Catholic University of Pusan, Busan 46252, Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6774-8476","authenticated-orcid":false,"given":"Joon-Min","family":"Gil","sequence":"additional","affiliation":[{"name":"School of Information Technology Engineering, Catholic University of Daegu, Gyeongsan, Gyeongbuk 38430, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2017,5,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1109\/MSP.2007.361604","article-title":"A survey of Dynamic Spectrum Access","volume":"79","author":"Zhao","year":"2007","journal-title":"IEEE Signal Process. Mag."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1109\/JSAC.2004.839380","article-title":"Cognitive Radio: Brain-Empowered Wireless Communications","volume":"23","author":"Haykin","year":"2005","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Pioro, M., and Medhi, D. (2004). Routing, Flow, and Capacity Design in Communication and Computer Networks, Elsevier.","DOI":"10.1016\/B978-012557189-0\/50011-1"},{"key":"ref_4","first-page":"1348","article-title":"Combining Cognitive Radio and Software Radio Approach for Low Complexity Receiver Architecture","volume":"2","author":"Coersmeier","year":"2007","journal-title":"Proc. Int. Symp. Adv. Radio Technol."},{"key":"ref_5","unstructured":"(2010, December 10). OMNET++ 3.3. Available online: http:\/\/www.omnetpp.org."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1109\/98.511762","article-title":"Channel Assignment Schemes for Cellular Mobile Telecommunication Systems: A Comprehensive Survey","volume":"3","author":"Katzela","year":"1996","journal-title":"IEEE Pers. Commun."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"602","DOI":"10.3745\/JIPS.03.0019","article-title":"Traffic Analysis of a Cognitive Radio Networks Based on the Concept of Medium Access Probability","volume":"10","author":"Khan","year":"2014","journal-title":"J. Inf. Process. Syst."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1109\/LCOMM.2014.2386349","article-title":"Interference Analysis for Secondary Coexistence in TV White Space","volume":"19","author":"Cacciapuoti","year":"2015","journal-title":"IEEE Commun. Lett."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1109\/JSAC.2015.2452532","article-title":"Cellular-Base-Station-Assisted Device-to-Device Communications in TV White Space","volume":"34","author":"Ding","year":"2016","journal-title":"J. Sel. Areas Commun."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1109\/TCOMM.2015.2498607","article-title":"Optimal Database Access for TV White Space","volume":"64","author":"Cacciapuoti","year":"2016","journal-title":"IEEE Trans. Commun."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1109\/MCOM.2016.7432167","article-title":"IEEE Standard 802.19.1 for TV White Space Coexistence","volume":"54","author":"Filin","year":"2016","journal-title":"IEEE Commun. Mag."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1115\/1.2912781","article-title":"Modified Game Theory Approach to Multiobjective Optimization","volume":"113","author":"Rao","year":"1991","journal-title":"J. Mech. Transm. Autom. Des."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"831","DOI":"10.1109\/TVT.2016.2551721","article-title":"Energy-Harvesting-Aided Spectrum Sensing and Data Transmission in Heterogeneous Cognitive Radio Sensor Network","volume":"66","author":"Zhang","year":"2017","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1549","DOI":"10.1109\/JSEN.2017.2647878","article-title":"Cognitive Radio Sensor Networks with Green Power Beacon","volume":"17","author":"Nobar","year":"2017","journal-title":"IEEE Sens. J."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"550","DOI":"10.1109\/COMST.2016.2610578","article-title":"A Survey of Multi-Objective Optimization in Wireless Sensor Networks: Metrics, Algorithms, and Open Problems","volume":"19","author":"Fei","year":"2017","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"3143","DOI":"10.1109\/TWC.2016.2517618","article-title":"Dynamic Channel Access to Improve Energy Efficiency in Cognitive Radio Sensor Networks","volume":"15","author":"Ren","year":"2016","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1366","DOI":"10.1109\/TCOMM.2005.852826","article-title":"Fair Multiuser Channel Allocation for OFDMA Networks Using Nash Bargaining Solutions and Coalitions","volume":"53","author":"Han","year":"2005","journal-title":"IEEE Trans. Commun."},{"key":"ref_18","first-page":"1","article-title":"Achieving Fair Spectrum Allocation and Reduced Spectrum Handoff in Wireless Sensor Networks: Modeling via Biobjective Optimization","volume":"2014","author":"Byun","year":"2014","journal-title":"Model. Simul. Eng."},{"key":"ref_19","first-page":"295","article-title":"The Effect of Multiple Energy Detector on Evidence Theory Based Cooperative Spectrum Sensing Scheme for Cognitive Radio Networks","volume":"12","author":"Saijad","year":"2016","journal-title":"J. Inf. Process. Syst."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Rahman, M.A., Lee, Y., and Koo, I. (2016). An Efficient Transmission Mode Selection on Reinforcement Learning for Cooperative Cognitive Radio Networks. Hum. Centric Comput. Inf. Sci.","DOI":"10.1186\/s13673-016-0057-2"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1109\/MCOM.2004.1273768","article-title":"Spectrum Pooling: An Innovative Strategy for Enhancement of Spectrum Efficiency","volume":"42","author":"Weiss","year":"2004","journal-title":"IEEE Commun. Mag."},{"key":"ref_22","unstructured":"Berthold, U., and Jondral, F. (2005, January 8\u201311). Guidelines for Designing OFDM Overlay Systems. Proceedings of the 2005 First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, DySPAN 2005, Baltimore, MD, USA."},{"key":"ref_23","unstructured":"Tang, H. (2005, January 8\u201311). Some Physical Layer Issues of Wide-band Cognitive Radio Systems. Proceedings of the 2005 First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, DySPAN 2005, Baltimore, MD, USA."},{"key":"ref_24","unstructured":"Osborne, M. (2004). An Introduction to Game Theory, Oxford University Press."},{"key":"ref_25","unstructured":"(2010, December 07). GNU Linear Programming Toolkit. Available online: http:\/\/www.gnu.org\/software\/glpk."},{"key":"ref_26","unstructured":"Jain, R., Chiu, D.M., and Hawe, W. (1984). A Quantitative Measure of Fairness and Discrimination for Resource Allocation in Shared Computer Systems, Eastern Research Laboratory, Digital Equipment Corporation."}],"container-title":["Symmetry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-8994\/9\/5\/73\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:36:02Z","timestamp":1760207762000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-8994\/9\/5\/73"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5,16]]},"references-count":26,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2017,5]]}},"alternative-id":["sym9050073"],"URL":"https:\/\/doi.org\/10.3390\/sym9050073","relation":{},"ISSN":["2073-8994"],"issn-type":[{"type":"electronic","value":"2073-8994"}],"subject":[],"published":{"date-parts":[[2017,5,16]]}}}