{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T07:48:56Z","timestamp":1767340136765,"version":"3.44.0"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,5]]},"DOI":"10.1109\/dcoss.2019.00117","type":"proceedings-article","created":{"date-parts":[[2019,8,22]],"date-time":"2019-08-22T13:29:54Z","timestamp":1566480594000},"page":"644-651","source":"Crossref","is-referenced-by-count":9,"title":["Decentralized Spectrum Learning for IoT Wireless Networks Collision Mitigation"],"prefix":"10.1109","author":[{"given":"Christophe","family":"Moy","sequence":"first","affiliation":[{"name":"Universit&#x00E9; de Rennes"}]},{"given":"Lilian","family":"Besson","sequence":"additional","affiliation":[{"name":"Universit&#x00E9; de Rennes"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/0196-8858(85)90002-8"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1561\/2200000024"},{"key":"ref12","article-title":"Analysis of Thompson sampling for the Multi-Armed Bandit problem","author":"agrawal","year":"2012","journal-title":"JMLR Conference On Learning Theory"},{"key":"ref13","first-page":"199","author":"kaufmann","year":"2012","journal-title":"Thompson Sampling an Asymptotically Optimal Finite-Time Analysis"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/PIMRC.2016.7794785"},{"key":"ref15","article-title":"Competition: Channel Exploration\/Exploitation Based on a Thompson Sampling Approach in a Radio Cognitive Environment","author":"maskooki","year":"2016","journal-title":"EWSN"},{"key":"ref16","article-title":"Proof-of-Concept System for Opportunistic Spectrum Access in Multi-user Decentralized Networks","volume":"2","author":"moy","year":"2016","journal-title":"EAI Endorsed Transactions on Cognitive Communications"},{"journal-title":"PyCom Documentation","year":"0","key":"ref17"},{"journal-title":"SMPyBandits an Open-Source Research Framework for Single and Multi-Players Multi-Arms Bandits (MAB) Algorithms in Python","year":"0","author":"besson","key":"ref18"},{"journal-title":"LoRaWAN Specification v1 1","year":"2017","key":"ref19"},{"key":"ref4","article-title":"MALIN: Multi-Armed bandit Learning for Iot Networks with GRC: A TestBed Implementation and Demonstration that Learning Helps","author":"besson","year":"2018","journal-title":"ICT 2018"},{"key":"ref3","article-title":"Reinforcement Learning Real Experiments for Opportunistic Spectrum Access","author":"moy","year":"2014","journal-title":"5 th Karlsruhe Workshop on Software Radio"},{"key":"ref6","article-title":"Multi-Armed Bandit Learning in IoT Networks: Learning helps even in non-stationary settings","author":"bonnefoi","year":"2017","journal-title":"CROWNCOM 2017"},{"key":"ref5","doi-asserted-by":"crossref","DOI":"10.1023\/A:1013689704352","article-title":"Finite-time analysis of the multiarmed bandit problem","volume":"47","author":"auer","year":"2002","journal-title":"Machine Learning"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/25.3-4.285"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2011.110406"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2010.5502014"},{"journal-title":"LoRaWAN Specification","year":"2015","author":"sornin","key":"ref1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1090\/S0002-9904-1952-09620-8"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.23919\/URSIAP-RASC.2019.8738711"}],"event":{"name":"2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS)","start":{"date-parts":[[2019,5,29]]},"location":"Santorini, Greece","end":{"date-parts":[[2019,5,31]]}},"container-title":["2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8790388\/8804474\/08804828.pdf?arnumber=8804828","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,20]],"date-time":"2025-08-20T18:30:49Z","timestamp":1755714649000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8804828\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/dcoss.2019.00117","relation":{},"subject":[],"published":{"date-parts":[[2019,5]]}}}