Mehdi Zirak, Yasser Sedaghat, Mohammad Hossein Yaghmaee Moghaddam
{"title":"RPL-TSCH跨层设计提高工业物联网lln服务质量","authors":"Mehdi Zirak, Yasser Sedaghat, Mohammad Hossein Yaghmaee Moghaddam","doi":"10.1016/j.adhoc.2025.103843","DOIUrl":null,"url":null,"abstract":"<div><div>The Internet of Things (IoT) facilitates mutual interaction by establishing a connection between humans and objects. The adoption of IoT is rapidly expanding across various aspects of human life. Industrial IoT (IIoT) is the intersection point between IoT and industry, serving as a key driver of the Fourth Industrial Revolution, also referred to as Industry 4.0 (I4.0). Low-Power and Lossy Networks (LLNs), which contain many resource-constrained nodes, as the basic block in IoT and IIoT, are an essential part of this revolution. Given the resource constraint of LLNs and the mission, safety, and business criticality of IIoT, enhancing Quality of Service (QoS) has become a significant challenge. Addressing this challenge requires the optimal utilization of resources and fully coordinated decision-making across different layer protocols, which can be achieved through cross-layer design. Routing Protocol for Low-Power and Lossy Networks (RPL) and Time Slotted Channel Hopping (TSCH) are two widely used standard protocols in the IIoT protocol stack. In this paper, we investigate the fundamental factors affecting QoS within the RPL and TSCH and propose an RPL-TSCH Cross-Layer (RTCL) design for LLNs in IIoT, motivated by equations derived from queuing theory. The equations and simulation results reveal that the inconsistency between the arrival rate and service rate of the node's queue leads to increasing <em>queue overflow</em> and delay and decreasing reliability and throughput. The proposed RTCL design, structured as a six-step solution that integrates RPL and TSCH information, enhances QoS by employing two primary strategies: <em>controlling the arrival rate</em> and <em>increasing the service rate</em> of the nodes’ queues. Evaluation results from various simulation scenarios demonstrate that RTCL improves QoS parameters while also enhancing load balancing and network stability.</div></div>","PeriodicalId":55555,"journal":{"name":"Ad Hoc Networks","volume":"174 ","pages":"Article 103843"},"PeriodicalIF":4.4000,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"RPL-TSCH cross-layer design for improve quality of service in LLNs of IIoT\",\"authors\":\"Mehdi Zirak, Yasser Sedaghat, Mohammad Hossein Yaghmaee Moghaddam\",\"doi\":\"10.1016/j.adhoc.2025.103843\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The Internet of Things (IoT) facilitates mutual interaction by establishing a connection between humans and objects. The adoption of IoT is rapidly expanding across various aspects of human life. Industrial IoT (IIoT) is the intersection point between IoT and industry, serving as a key driver of the Fourth Industrial Revolution, also referred to as Industry 4.0 (I4.0). Low-Power and Lossy Networks (LLNs), which contain many resource-constrained nodes, as the basic block in IoT and IIoT, are an essential part of this revolution. Given the resource constraint of LLNs and the mission, safety, and business criticality of IIoT, enhancing Quality of Service (QoS) has become a significant challenge. Addressing this challenge requires the optimal utilization of resources and fully coordinated decision-making across different layer protocols, which can be achieved through cross-layer design. Routing Protocol for Low-Power and Lossy Networks (RPL) and Time Slotted Channel Hopping (TSCH) are two widely used standard protocols in the IIoT protocol stack. In this paper, we investigate the fundamental factors affecting QoS within the RPL and TSCH and propose an RPL-TSCH Cross-Layer (RTCL) design for LLNs in IIoT, motivated by equations derived from queuing theory. The equations and simulation results reveal that the inconsistency between the arrival rate and service rate of the node's queue leads to increasing <em>queue overflow</em> and delay and decreasing reliability and throughput. The proposed RTCL design, structured as a six-step solution that integrates RPL and TSCH information, enhances QoS by employing two primary strategies: <em>controlling the arrival rate</em> and <em>increasing the service rate</em> of the nodes’ queues. Evaluation results from various simulation scenarios demonstrate that RTCL improves QoS parameters while also enhancing load balancing and network stability.</div></div>\",\"PeriodicalId\":55555,\"journal\":{\"name\":\"Ad Hoc Networks\",\"volume\":\"174 \",\"pages\":\"Article 103843\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2025-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ad Hoc Networks\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1570870525000915\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ad Hoc Networks","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1570870525000915","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
RPL-TSCH cross-layer design for improve quality of service in LLNs of IIoT
The Internet of Things (IoT) facilitates mutual interaction by establishing a connection between humans and objects. The adoption of IoT is rapidly expanding across various aspects of human life. Industrial IoT (IIoT) is the intersection point between IoT and industry, serving as a key driver of the Fourth Industrial Revolution, also referred to as Industry 4.0 (I4.0). Low-Power and Lossy Networks (LLNs), which contain many resource-constrained nodes, as the basic block in IoT and IIoT, are an essential part of this revolution. Given the resource constraint of LLNs and the mission, safety, and business criticality of IIoT, enhancing Quality of Service (QoS) has become a significant challenge. Addressing this challenge requires the optimal utilization of resources and fully coordinated decision-making across different layer protocols, which can be achieved through cross-layer design. Routing Protocol for Low-Power and Lossy Networks (RPL) and Time Slotted Channel Hopping (TSCH) are two widely used standard protocols in the IIoT protocol stack. In this paper, we investigate the fundamental factors affecting QoS within the RPL and TSCH and propose an RPL-TSCH Cross-Layer (RTCL) design for LLNs in IIoT, motivated by equations derived from queuing theory. The equations and simulation results reveal that the inconsistency between the arrival rate and service rate of the node's queue leads to increasing queue overflow and delay and decreasing reliability and throughput. The proposed RTCL design, structured as a six-step solution that integrates RPL and TSCH information, enhances QoS by employing two primary strategies: controlling the arrival rate and increasing the service rate of the nodes’ queues. Evaluation results from various simulation scenarios demonstrate that RTCL improves QoS parameters while also enhancing load balancing and network stability.
期刊介绍:
The Ad Hoc Networks is an international and archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in ad hoc and sensor networking areas. The Ad Hoc Networks considers original, high quality and unpublished contributions addressing all aspects of ad hoc and sensor networks. Specific areas of interest include, but are not limited to:
Mobile and Wireless Ad Hoc Networks
Sensor Networks
Wireless Local and Personal Area Networks
Home Networks
Ad Hoc Networks of Autonomous Intelligent Systems
Novel Architectures for Ad Hoc and Sensor Networks
Self-organizing Network Architectures and Protocols
Transport Layer Protocols
Routing protocols (unicast, multicast, geocast, etc.)
Media Access Control Techniques
Error Control Schemes
Power-Aware, Low-Power and Energy-Efficient Designs
Synchronization and Scheduling Issues
Mobility Management
Mobility-Tolerant Communication Protocols
Location Tracking and Location-based Services
Resource and Information Management
Security and Fault-Tolerance Issues
Hardware and Software Platforms, Systems, and Testbeds
Experimental and Prototype Results
Quality-of-Service Issues
Cross-Layer Interactions
Scalability Issues
Performance Analysis and Simulation of Protocols.