Pásztor Dániel and Ekler Péter and Levendovszky János: Energy-efficient routing in wireless sensor networks. In: Acta cybernetica, (25) 2. pp. 421-434. (2021)
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Abstract
Efficient data collection is the core concept of implementing Industry4.0 on IoT platforms. This requires energy aware communication protocols for Wireless Sensor Networks (WSNs) where different functions, like sensing and processing on the IoT nodes must be supported by local battery power. Thus, energy aware network protocols, such as routing, became one of fundamental challenges in IoT data collection schemes. In our research, we have developed novel routing algorithms which guarantee minimum energy consumption data transfer which is achieved subject to pre-defined reliability constraints. We assume that data is transmitted in the form of packets and the routing algorithm identifies the paths over which the packets can reach the Base Station (BS) with minimum transmission energy, while the probability of successful packet transmission still exceeds a pre-defined reliability parameter. In this way, the longevity and the information throughput of the network is maximized and the low energy transmissions will considerably extend the lifetime of the IoT nodes. In this paper we propose a solution that maximizes the lifetime of the nodes.
Item Type: | Article |
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Journal or Publication Title: | Acta cybernetica |
Date: | 2021 |
Volume: | 25 |
Number: | 2 |
ISSN: | 0324-721X |
Page Range: | pp. 421-434 |
Language: | English |
Publisher: | University of Szeged, Institute of Informatics |
Place of Publication: | Szeged |
Event Title: | Conference of PhD Students in Computer Science (12.) (2020) (Szeged) |
Related URLs: | http://acta.bibl.u-szeged.hu/75565/ |
DOI: | 10.14232/actacyb.288351 |
Uncontrolled Keywords: | Számítástechnika, Számítógép-hálózat - Internet |
Additional Information: | Bibliogr.: p. 433-434. ; ill. ; összefoglalás angol nyelven |
Subjects: | 01. Natural sciences 01. Natural sciences > 01.02. Computer and information sciences |
Date Deposited: | 2022. May. 12. 15:45 |
Last Modified: | 2022. May. 12. 15:45 |
URI: | http://acta.bibl.u-szeged.hu/id/eprint/75617 |
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