TY - JOUR AU - Ekler, Péter AU - Levendovszky, János AU - Pásztor, Dániel TI - Energy Aware IoT Routing Algorithms in Smart City Environment JF - IEEE ACCESS J2 - IEEE ACCESS VL - 10 PY - 2022 SP - 87733 EP - 87744 PG - 12 SN - 2169-3536 DO - 10.1109/ACCESS.2022.3199757 UR - https://m2.mtmt.hu/api/publication/33091417 ID - 33091417 N1 - Department of Automation and Applied Informatics, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Muegyetem rkp. 3, Budapest, Hungary Department of Networked Systems and Services, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Muegyetem rkp. 3, Budapest, Hungary Export Date: 13 September 2022 AB - Energy efficiency is one of the key aspects of IoT and Wireless Sensor Networks (WSNs) since the nodes of the network are running on battery power and the lifespan of the system is an important mission-critical parameter. In WSNs, where the energy consumption mainly depends on the radio interface and the transmission protocols, reliable packet forwarding from the source node to Base Station (BS) is crucial. In this paper, we focus on developing new routing algorithms which extend the lifespan of WSNs by achieving optimal energy balancing subject to the criterion that the packets must reach the BS with a predefined probability. We will propose novel two-hop and multi-hop routing algorithms to achieve this objective. The performance of the novel algorithms is compared with the LEACH routing protocol. Extensive simulations prove that the new routing methods are indeed energy efficient, and they are able to meet the predefined reliability criteria as well. The results given in this paper can contribute to reliable communication in IoT or WSN networks and result in lower energy consumption. LA - English DB - MTMT ER - TY - CHAP AU - Sik, Dávid AU - Ekler, Péter AU - Levendovszky, János TI - Predictive Maintenance in Distributed Environments T2 - Proceedings of The First Conference on ZalaZONE Related R&I Activities of Budapest University of Technology and Economics 2022 PB - Budapest University of Technology and Economics CY - Budapest SN - 9789634218739 PY - 2022 SP - 85 EP - 88 PG - 4 DO - 10.3311/BMEZalaZONE2022-018 UR - https://m2.mtmt.hu/api/publication/32809300 ID - 32809300 LA - English DB - MTMT ER - TY - JOUR AU - Almazaideh, Mohammed AU - Levendovszky, János TI - A predictive maintenance system for wireless sensor networks: A machine learning approach JF - INDONESIAN JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE J2 - IJEECS VL - 25 PY - 2022 IS - 2 SP - 1047 EP - 1058 PG - 12 SN - 2502-4752 DO - 10.11591/ijeecs.v25.i2.pp1047-1058 UR - https://m2.mtmt.hu/api/publication/32704747 ID - 32704747 N1 - Export Date: 24 February 2022 LA - English DB - MTMT ER - TY - JOUR AU - Pásztor, Dániel AU - Ekler, Péter AU - Levendovszky, János TI - Energy-Efficient Routing in Wireless Sensor Networks JF - ACTA CYBERNETICA J2 - ACTA CYBERN-SZEGED VL - 25 PY - 2021 IS - 2 SP - 421 EP - 434 PG - 14 SN - 0324-721X DO - 10.14232/ACTACYB.288351 UR - https://m2.mtmt.hu/api/publication/32801323 ID - 32801323 N1 - Department of Automation and Applied Informatics, Budapest University of Technology and Economics, Hungary Depatment of Networked Systems and Services, Budapest University of Technology and Economics, Hungary Export Date: 2 May 2022 CODEN: ACCYD LA - English DB - MTMT ER - TY - JOUR AU - Jánoky, László Viktor AU - Ekler, Péter AU - Levendovszky, János TI - Evaluating the Performance of Novel JWT Revocation Strategy JF - ACTA CYBERNETICA J2 - ACTA CYBERN-SZEGED VL - 25 PY - 2021 IS - 2 SP - 307 EP - 318 PG - 12 SN - 0324-721X DO - 10.14232/actacyb.289455 UR - https://m2.mtmt.hu/api/publication/32595465 ID - 32595465 N1 - Department of Automation and Applied Informatics, Budapest University of Technology and Economics, Hungary Department of Networked Systems and Services, Budapest University of Technology and Economics, Hungary Export Date: 2 May 2022 CODEN: ACCYD LA - English DB - MTMT ER - TY - JOUR AU - Yolchuyev, Agil AU - Levendovszky, János TI - Data Chunks Placement Optimization for Hybrid Storage Systems JF - FUTURE INTERNET J2 - FUTURE INTERNET VL - 13 PY - 2021 IS - 7 PG - 12 SN - 1999-5903 DO - 10.3390/fi13070181 UR - https://m2.mtmt.hu/api/publication/32300657 ID - 32300657 N1 - Export Date: 15 June 2022 Correspondence Address: Yolchuyev, A.; Department of Networked Systems and Services, Magyar Tudosok krt. 2, Hungary; email: yolchuyev@hit.bme.hu Funding details: National Research, Development and Innovation Office Funding text 1: Acknowledgments: The research presented in this paper, carried out by the Budapest University of Technology and Economics was supported by the Ministry of Innovation and the National Research, Development and Innovation Office within the framework of the Artificial Intelligence National Laboratory Programme. Funding text 2: Funding: This research was funded by Artificial Intelligence National Laboratory. AB - “Hybrid Cloud Storage” (HCS) is a widely adopted framework that combines the functionality of public and private cloud storage models to provide storage services. This kind of storage is especially ideal for organizations that seek to reduce the cost of their storage infrastructure with the use of “Public Cloud Storage” as a backend to on-premises primary storage. Despite the higher performance, the hybrid cloud has latency issues, related to the distance and bandwidth of the public storage, which may cause a significant drop in the performance of the storage systems during data transfer. This issue can become a major problem when one or more private storage nodes fail. In this paper, we propose a new framework for optimizing the data uploading process that is currently used with hybrid cloud storage systems. The optimization is concerned with spreading the data over the multiple storages in the HCS system according to some predefined objective functions. Furthermore, we also used Network Coding technics for minimizing data transfer latency between the receiver (private storages) and transmitter nodes. LA - English DB - MTMT ER - TY - CHAP AU - Sik, Dávid AU - Levendovszky, János ED - Dunaev, Dmitriy ED - Vajk, István TI - Remaining useful life based Predictive Maintenance T2 - Proceedings of the Automation and Applied Computer Science Workshop 2021 PB - Budapesti Műszaki és Gazdaságtudományi Egyetem CY - Budapest SN - 9789634218524 PY - 2021 SP - 224 EP - 231 PG - 8 UR - https://m2.mtmt.hu/api/publication/32095995 ID - 32095995 LA - English DB - MTMT ER - TY - JOUR AU - Almazaideh, Mohammed AU - Levendovszky, János TI - A multi-hop routing algorithm for WSNs based on compressive sensing and multiple objective genetic algorithm JF - JOURNAL OF COMMUNICATIONS AND NETWORKS J2 - J COMMUN NETW-S KOR VL - 23 PY - 2021 IS - 2 SP - 138 EP - 147 PG - 10 SN - 1229-2370 DO - 10.23919/JCN.2021.000003 UR - https://m2.mtmt.hu/api/publication/32041567 ID - 32041567 N1 - Cited By :5 Export Date: 16 June 2022 Correspondence Address: Mazaideh, M.A.; The Department of Computer Engineering, Hungary; email: Almazaida@hit.bme.hu LA - English DB - MTMT ER - TY - CHAP AU - Jánoky, László Viktor AU - Levendovszky, János AU - Ekler, Péter ED - Dunaev, Dmitriy ED - Gulyás, Gábor György ED - Vajk, István TI - Performance Evaluation of a Novel JWT Revocation Algorithm T2 - Proceedings of the Automation and Applied Computer Science Workshop 2020 PB - Budapesti Műszaki és Gazdaságtudományi Egyetem, Villamosmérnöki és Informatikai Kar CY - Budapest SN - 9789634218166 PY - 2020 SP - 199 EP - 205 PG - 7 UR - https://m2.mtmt.hu/api/publication/32595461 ID - 32595461 LA - English DB - MTMT ER - TY - JOUR AU - Almazaideh, Mohammed AU - Levendovszky, János TI - A New Energy-Efficient and Reliable Protocol for Stochastic WSNs Based on Back-Pressure and Entropy of Residual Energy JF - Journal of Computer and Communications J2 - Journal of Computer and Communications VL - 8 PY - 2020 IS - 11 SP - 1 EP - 13 PG - 13 SN - 2327-5219 DO - 10.4236/jcc.2020.811001 UR - https://m2.mtmt.hu/api/publication/31963091 ID - 31963091 LA - English DB - MTMT ER -