{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T03:48:29Z","timestamp":1747194509705,"version":"3.40.5"},"reference-count":42,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2018,4,1]],"date-time":"2018-04-01T00:00:00Z","timestamp":1522540800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"Spanish Ministry of Economy and Competitiveness","award":["TIN2013-47272-C2-1-R"],"award-info":[{"award-number":["TIN2013-47272-C2-1-R"]}]},{"name":"AEI\/FEDER, UE","award":["TEC2017-85830-C2-1-P"],"award-info":[{"award-number":["TEC2017-85830-C2-1-P"]}]},{"DOI":"10.13039\/501100004895","name":"European Social Fund","doi-asserted-by":"publisher","award":["BES-2014-068998"],"award-info":[{"award-number":["BES-2014-068998"]}],"id":[{"id":"10.13039\/501100004895","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Distributed Sensor Networks"],"published-print":{"date-parts":[[2018,4]]},"abstract":"<jats:p> We model a wireless sensors\u2019 connectivity scenario mathematically and analyze it using capacity provision mechanisms, with the objective of maximizing the profits of a network operator. The scenario has several sensors\u2019 clusters with each one having one sink node, which uploads the sensing data gathered in the cluster through the wireless connectivity of a network operator. The scenario is analyzed both as a static game and as a dynamic game, each one with two stages, using game theory. The sinks\u2019 behavior is characterized with a utility function related to the mean service time and the price paid to the operator for the service. The objective of the operator is to maximize its profits by optimizing the network capacity. In the static game, the sinks\u2019 subscription decision is modeled using a population game. In the dynamic game, the sinks\u2019 behavior is modeled using an evolutionary game and the replicator dynamic, while the operator optimal capacity is obtained solving an optimal control problem. The scenario is shown feasible from an economic point of view. In addition, the dynamic capacity provision optimization is shown as a valid mechanism for maximizing the operator profits, as well as a useful tool to analyze evolving scenarios. Finally, the dynamic analysis opens the possibility to study more complex scenarios using the differential game extension. <\/jats:p>","DOI":"10.1177\/1550147718772544","type":"journal-article","created":{"date-parts":[[2018,4,27]],"date-time":"2018-04-27T06:50:34Z","timestamp":1524811834000},"page":"155014771877254","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Dynamic capacity provision for wireless sensors\u2019 connectivity: A profit optimization approach"],"prefix":"10.1177","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8136-8541","authenticated-orcid":false,"given":"Angel","family":"Sanchis-Cano","sequence":"first","affiliation":[{"name":"ITACA, Universitat Polit\u00e8cnica de Val\u00e8ncia, Valencia, Spain"},{"name":"Department of Informatics, King\u2019s College London, London, 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