On Self-configuring IoT with Dual Radios: A Cross-Layer Approach

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dc.contributor.authorJung, Jinhwanko
dc.contributor.authorHong, Joonkiko
dc.contributor.authorYi, Yungko
dc.date.accessioned2022-10-27T01:00:11Z-
dc.date.available2022-10-27T01:00:11Z-
dc.date.created2021-11-25-
dc.date.created2021-11-25-
dc.date.issued2022-11-
dc.identifier.citationIEEE TRANSACTIONS ON MOBILE COMPUTING, v.21, no.11, pp.4064 - 4077-
dc.identifier.issn1536-1233-
dc.identifier.urihttp://hdl.handle.net/10203/299133-
dc.description.abstractGrowing interest in emerging IoT applications provides a strong drive to release a plethora of communication radios from different standards, which are largely classified into short-range (IEEE 802.15.4) and long-range radios (IEEE 802.15.4g). In this paper, we propose a joint, self-configuring MAC and routing protocol, SEDA-Net, which aims at adaptively choosing the best configuration for communication coordination and data delivery, depending on different deployed topologies and external conditions. SEDA-Net is a combination of SEDA-MAC, SEDA-Routing, and Cross-Opt. SEDA-MAC and SEDA-Routing adaptively determine (i) the best radio configuration for communication coordination under duty-cycling and (ii) each node's next-hop over which radio and Cross-Opt jointly optimizes inter-coupled MAC and routing iteratively. SEDA-Net differs from prior approaches which are designed with static configurations of radios and/or mainly with the goal of throughput maximization for dual Wi-Fi or Wi-Fi/LTE setups. We implement SEDA-Net on Contiki OS and perform extensive simulations and experiments using a testbed in an office building. This testbed consists of 45 nodes equipped with a commercial platform, Firefly, having 2.4 GHz short-range and 920 MHz long-range radios. We demonstrate that energy efficiency quantified by the network lifetime increases by up to 2.1 times, compared to that of existing approaches.-
dc.languageEnglish-
dc.publisherIEEE COMPUTER SOC-
dc.titleOn Self-configuring IoT with Dual Radios: A Cross-Layer Approach-
dc.typeArticle-
dc.identifier.wosid000864325200019-
dc.identifier.scopusid2-s2.0-85103169662-
dc.type.rimsART-
dc.citation.volume21-
dc.citation.issue11-
dc.citation.beginningpage4064-
dc.citation.endingpage4077-
dc.citation.publicationnameIEEE TRANSACTIONS ON MOBILE COMPUTING-
dc.identifier.doi10.1109/tmc.2021.3066441-
dc.contributor.localauthorYi, Yung-
dc.contributor.nonIdAuthorHong, Joonki-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorRouting-
dc.subject.keywordAuthorMedia Access Protocol-
dc.subject.keywordAuthorRouting protocols-
dc.subject.keywordAuthorInternet of Things-
dc.subject.keywordAuthorStandards-
dc.subject.keywordAuthorLinear programming-
dc.subject.keywordAuthorIEEE 802-
dc.subject.keywordAuthor15 Standard-
dc.subject.keywordAuthorDual radios-
dc.subject.keywordAuthorInternet of Things-
dc.subject.keywordAuthorwireless sensor network-
dc.subject.keywordAuthorMAC protocol-
dc.subject.keywordAuthorrouting protocol-
dc.subject.keywordAuthorcross-layer-
dc.subject.keywordPlusCHANNEL ASSIGNMENT-
dc.subject.keywordPlusSENSOR NETWORKS-
dc.subject.keywordPlusWIRELESS-
dc.subject.keywordPlusLIFETIME-
dc.subject.keywordPlusTREE-
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