Sökning: WFRF:(Recio Lopez P) > Joint Learning :
Fältnamn | Indikatorer | Metadata |
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000 | 03287naa a2200349 4500 | |
001 | oai:DiVA.org:lnu-129977 | |
003 | SwePub | |
008 | 240605s2023 | |||||||||||000 ||eng| | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-1299772 URI |
024 | 7 | a https://doi.org/10.1145/3628034.36280432 DOI |
040 | a (SwePub)lnu | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a kon2 swepub-publicationtype |
100 | 1 | a Provoost, Michielu Katholieke Universiteit Leuven, Belgium4 aut |
245 | 1 0 | a Joint Learning :b A Pattern for Efficient Decision-Making and Reliable Communication in Self-Adaptive Internet of Things |
264 | 1 | b ACM Publications,c 2023 |
338 | a print2 rdacarrier | |
520 | a An Internet-of-Things (IoT) system typically comprises many small computing elements (nodes) that are battery-powered and communicate over a wireless network. These elements monitor properties in the environment and send the data to client applications via gateways. The wireless networks used by the elements are subject to uncertainties that are difficult to predict upfront, such as dynamic objects (swaying trees, cars, …) and changing weather conditions that may deteriorate the transmissions. To ensure reliable communication over a wireless network of energy-constrained elements, recent research has proposed self-adaptive IoT systems. Such a self-adaptive system equips the network of elements – referred to as the managed system – with a feedback loop – the managing system. The managing system monitors the changing conditions and adapts the transmission settings of the IoT network to ensure the system’s quality goals. Leveraging and consolidating the existing knowledge in this area, we present a pattern that we coined Joint Learning that provides a solution to the decision-making problem of large, distributed self-adaptive IoT systems. With this pattern, elements use a joint learner to make adaptation decisions for individual elements while yielding reliable communication of the overall network. The pattern is applied to two cases to show that the solutions realize the system goals while operating under uncertainties. | |
650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskap0 (SwePub)1022 hsv//swe |
650 | 7 | a NATURAL SCIENCESx Computer and Information Sciences0 (SwePub)1022 hsv//eng |
653 | a Data- och informationsvetenskap | |
653 | a Computer and Information Sciences Computer Science | |
700 | 1 | a Weyns, Dannyu Linnéuniversitetet,Institutionen för datavetenskap och medieteknik (DM),Katholieke Universiteit Leuven, Belgium4 aut0 (Swepub:lnu)daweaa |
700 | 1 | a Van Landuyt, Dimitriu Katholieke Universiteit Leuven, Belgium4 aut |
700 | 1 | a Michiels, Samu Katholieke Universiteit Leuven, Belgium4 aut |
700 | 1 | a Bureš, Tomášu Charles University, Czech Republic4 aut |
710 | 2 | a Katholieke Universiteit Leuven, Belgiumb Institutionen för datavetenskap och medieteknik (DM)4 org |
773 | 0 | t EuroPLoP '23: Proceedings of the 28th European Conference on Pattern Languages of Programs, 5 July 2023d : ACM Publicationsz 9798400700408 |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-129977 |
856 | 4 8 | u https://doi.org/10.1145/3628034.3628043 |
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