Advanced Traffic Differentiation in LoRaWAN IIoT Networks Through Contention Window Strategies

dc.contributor.affiliationGonzález-Palacio M., Universidad de Medellín, Medellín, 050022, Colombia
dc.contributor.affiliationGonzalez-Palacio L., Universidad EAFIT, Medellín, 050021, Colombia
dc.contributor.affiliationSepúlveda-Cano L.M., Universidad EAFIT, Medellín, 050021, Colombia
dc.contributor.affiliationGómez-Álvarez M.C., Universidad Nacional, Bogotá, 050036, Colombia
dc.contributor.authorGonzález-Palacio M.; Gonzalez-Palacio L.; Sepúlveda-Cano L.M.; Gómez-Álvarez M.C.
dc.contributor.conferencename18th Colombian Conference on Computing, CCC 2024spa
dc.date.accessioned2025-04-28T22:09:55Z
dc.date.available2025-04-28T22:09:55Z
dc.date.issued2024
dc.descriptionThe Industrial Internet of Things (IIoT) has emerged as a factory paradigm in Industry 4.0, and aims for transmitting and receiving information from sensors and actuators. The information collected by the IIoT End Nodes (ENs) is processed to detect patterns that optimize the associated processes. In addition, in some factories, there are thousands of sensors, making wired transmissions impractical and expensive. Thus, Wireless Sensor Networks (WSNs) have become cost- and time-effective technologies to replace traditional wired transmitters. Long Range Wide Area Network (LoRaWAN) is a cutting-edge communication protocol currently applied to IIoT since it can cover large areas and operate for years with low energy consumption requirements. However, since LoRaWAN uses a Pure-ALOHA Medium Access Control (MAC), it does not include a mechanism to assign higher priorities to mission-critical sensors such that they have a higher probability of accessing the channel and a lower probability of experiencing collisions. In this paper, we propose a novel mechanism to reduce the probability of collisions and include a traffic differentiation scheme using an enhanced version of the Carrier Sense Multiple Access/Collision Avoidance (CSMA/CA) strategy. Besides, we use a Contention Window (CW) approach to assign higher priorities to mission-critical ENs. Numerical studies showed that the use of the CW approach increases the probability of accessing the channel by 74.6%. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
dc.identifier.doi10.1007/978-3-031-75236-0_21
dc.identifier.instnameinstname:Universidad de Medellínspa
dc.identifier.isbn978-303175235-3
dc.identifier.issn18650929
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellínspa
dc.identifier.repourlrepourl:https://repository.udem.edu.co/
dc.identifier.urihttp://hdl.handle.net/11407/8859
dc.language.isoeng
dc.publisher.facultyFacultad de Ingenieríasspa
dc.publisher.programIngeniería de Sistemasspa
dc.relation.citationendpage307
dc.relation.citationstartpage293
dc.relation.citationvolume2209 CCIS
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85213959074&doi=10.1007%2f978-3-031-75236-0_21&partnerID=40&md5=eb9b2c20f40a01d721b3d1a166231309
dc.relation.referencesBorgosz L., Dikicioglu D., Industrial internet of things: What does it mean for the bioprocess industries, Biochem. Eng. J, 724, (2024)
dc.relation.referencesGonzalez-Palacio M., Tobon-Vallejo D., Sepulveda-Cano L.M., Rua S., Pau G., Le L.B., LoRaWAN path loss measurements in an urban scenario including environmental effects, Data, 8, 1, (2022)
dc.relation.referencesGomez D.L., Montoya G.A., Lozano-Garzon C., Donoso Y., Strategies for assuring low latency, scalability and interoperability in edge computing and TSN networks for critical IIoT services, IEEE Access, 11, pp. 42546-42577, (2023)
dc.relation.referencesGonzalez-Palacio M., Et al., Internet of things baseline method to improve health sterilization in hospitals: An approach from electronic instrumentation and processing of steam quality, 2018 13Th Iberian Conference on Information Systems and Technologies (CISTI), Pp. 1–6. IEEE, (2018)
dc.relation.referencesYu H., Zeng P., Zheng M., Xu C., Jin X., Liang W., Overview of industrial wireless networks, Performance Controllable Industrial Wireless Networks, Pp. 1–12. Springer, (2023)
dc.relation.referencesLin C.-C., Chin H.-H., Lin W.-X., Lu K.-W., Dynamic energy-efficient surveillance routing in uncertain group-based industrial wireless sensor networks, Wireless Netw, 28, 6, pp. 2597-2608, (2022)
dc.relation.referencesShahjalal M., Islam M.M., Alam M.M., Jang Y.M., Implementation of a secure LoRaWAN system for industrial internet of things integrated with IPFs and blockchain, IEEE Syst. J, 16, 4, pp. 5455-5464, (2022)
dc.relation.referencesPhilip M.S., Singh P., Enhancing energy efficiency in LoRaWAN system for smart city applications, IEEE Sens. Lett, 7, 12, pp. 1-4, (2023)
dc.relation.referencesGonzalez-Palacio M., Tobon-Vallejo D., Sepulveda-Cano L.M., Rua S., Le L.B., Machine-learning-based combined path loss and shadowing model in LoRaWAN for energy efficiency enhancement, IEEE Internet Things J, (2023)
dc.relation.referencesHeusse M., Caillouet C., Duda A., Performance of unslotted aloha with capture and multiple collisions in LoRaWAN, IEEE Internet Things J, (2023)
dc.relation.referencesBeltramelli L., Mahmood A., Osterberg P., Gidlund M., Lora beyond aloha: An investigation of alternative random access protocols, IEEE Trans. Industr. Inf, 17, 5, pp. 3544-3554, (2020)
dc.relation.referencesJimaa S., Al-Dwiek A., Alenezi M., Chai K.K., Vendiola H., Hathal W., Deep learning collision aware transmission scheduling for dense LPWANs, IEEE Access, (2024)
dc.relation.referencesReddy S.K., Naik A.S., Mandela G.R., Development of a reliable wireless communication system to monitor environmental parameters from various positions of underground mines to the surface using ZigBee modules, J. Inst. Eng. (India): Ser. D, 105, 1, pp. 359-383, (2024)
dc.relation.referencesGonzalez-Palacio M., Tobon-Vallejo D., Sepulveda-Cano L.M., Luna-Delrisco M., Roehrig C., Le L.B., Machine-learning-assisted transmission power control for LoRaWAN considering environments with high signal-to-noise variation, IEEE Access, (2024)
dc.relation.referencesXiao W., El Rachkidy N., Guitton A., Improving collision resolution of superposed LoRa signals using a slot-free decoding scheme, Ad Hoc Netw, 724, (2024)
dc.relation.referencesLeonardi L., Lo Bello L., Battaglia F., Patti G., Comparative assessment of the LoRaWAN medium access control protocols for IoT: Does listen before talk perform better than aloha?, Electronics, 9, 4, (2020)
dc.relation.referencesLeonardi L., Lo Bello L., Patti G., Pirri A., Pirri M., Combined use of LoRaWAN medium access control protocols for IoT applications. Appl, Sci, 13, 4, (2023)
dc.relation.referencesZhang M., Cai G., He J., Performance analysis of mac protocols for single-cell LoRa network with power control. IEEE Commun, Lett, (2023)
dc.relation.referencesAhmar A.-U.-H., Aras E., Nguyen T.D., Michiels S., Joosen W., Hughes D., Design of a robust mac protocol for LoRa. ACM Trans, Internet Things, 4, 1, pp. 1-25, (2023)
dc.relation.referencesZhong C., Springer A., Analysis of a novel media access control protocol for LoRa, IEEE Internet Things J, 10, 1, pp. 341-356, (2022)
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceCommunications in Computer and Information Science
dc.sourceCommun. Comput. Info. Sci.
dc.sourceScopus
dc.subjectCSMA/CA
dc.subjectLoRaWAN
dc.subjectMedium Access Control
dc.subjectTraffic Differentiation
dc.subjectHealth risks
dc.subjectIndustrial internet of things (IIoT)
dc.subjectInternet protocols
dc.subjectSensor nodes
dc.subjectSolar power plants
dc.subjectCarrier sense multiple access/collision avoidances
dc.subjectContention window
dc.subjectLong range wide area network
dc.subjectMedium access
dc.subjectMission critical
dc.subjectSensors and actuators
dc.subjectSensors network
dc.subjectTraffic differentiation
dc.subjectWide-area networks
dc.subjectWireless sensor
dc.subjectCarrier sense multiple access
dc.subjectCSMA/CA
dc.subjectLoRaWAN
dc.subjectMedium Access Control
dc.subjectTraffic Differentiation
dc.titleAdvanced Traffic Differentiation in LoRaWAN IIoT Networks Through Contention Window Strategies
dc.typeConference paper
dc.type.localDocumento de conferenciaspa
dc.type.versioninfo:eu-repo/semantics/publishedVersion

Archivos

Colecciones