000089860 001__ 89860 000089860 005__ 20210902121639.0 000089860 0247_ $$2doi$$a10.1109/ACCESS.2020.2980795 000089860 0248_ $$2sideral$$a118003 000089860 037__ $$aART-2020-118003 000089860 041__ $$aeng 000089860 100__ $$0(orcid)0000-0002-0299-0859$$aHernandez-Solana, A.$$uUniversidad de Zaragoza 000089860 245__ $$aBluetooth Mesh Analysis, Issues, and Challenges 000089860 260__ $$c2020 000089860 5060_ $$aAccess copy available to the general public$$fUnrestricted 000089860 5203_ $$aBLE is a widely used short-range technology which has gained a relevant position inside the Internet-of-Things (IoT) paradigm development thanks to its simplicity, low-power consumption, low-cost and robustness. New enhancements over BLE have focused on supporting mesh network topology. Compared to other mesh networks, BLE mesh has only considered a managed flooding protocol in its first version. Managed flooding may generally seem inefficient in many contexts, but it is a high desirable option when data transmission is urgent, the network is small or its configuration changes in a very dynamic way. Knowing the interest to many application contexts, this paper analyses the impact of tweaking several features over the reliability and efficiency of the mesh network. These features are configured and controlled in different layers: message repetition schemes, the transmission randomization, the election of a scheme based on an acknowledged or unacknowledged transmission, etc. In order to estimate the real performance of a mesh network deployment, this paper evaluates the effects of the interaction of the chosen parameters, their appropriate adjustment in relation with the characteristics of real implementations and the true overhead related to the whole protocol stack. The paper identifies configuration challenges, proposes network tuning criteria and outlines possible standard improvements. For this purpose, a detailed assessment on the implementation and execution of real devices has been performed with their chipset limitations. 000089860 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000089860 590__ $$a3.367$$b2020 000089860 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b65 / 162 = 0.401$$c2020$$dQ2$$eT2 000089860 591__ $$aTELECOMMUNICATIONS$$b36 / 91 = 0.396$$c2020$$dQ2$$eT2 000089860 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b94 / 273 = 0.344$$c2020$$dQ2$$eT2 000089860 592__ $$a0.586$$b2020 000089860 593__ $$aComputer Science (miscellaneous)$$c2020$$dQ1 000089860 593__ $$aMaterials Science (miscellaneous)$$c2020$$dQ1 000089860 593__ $$aEngineering (miscellaneous)$$c2020$$dQ1 000089860 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000089860 700__ $$aPerez-Diaz-De-Cerio, D. 000089860 700__ $$aGarcia-Lozano, M. 000089860 700__ $$0(orcid)0000-0003-2664-6339$$aValdovino Bardaji, A.$$uUniversidad de Zaragoza 000089860 700__ $$aValenzuela, J.L. 000089860 7102_ $$15008$$2560$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Ingeniería Telemática 000089860 773__ $$g8 (2020), 53784-53800$$pIEEE Access$$tIEEE Access$$x2169-3536 000089860 8564_ $$s7404696$$uhttps://zaguan.unizar.es/record/89860/files/texto_completo.pdf$$yVersión publicada 000089860 8564_ $$s528325$$uhttps://zaguan.unizar.es/record/89860/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000089860 909CO $$ooai:zaguan.unizar.es:89860$$particulos$$pdriver 000089860 951__ $$a2021-09-02-08:59:05 000089860 980__ $$aARTICLE