MobiRPL: Adaptive, robust, and RSSI-based mobile routing in low power and lossy networks

Kim, Hongchan; Kim, Hyung-Sin; Bahk, Saewoong

doi:10.23919/jcn.2022.000004

Cited by 12 publications

(7 citation statements)

References 39 publications

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“…Moreover, the authors in [19] designed a method called MobiRPL in which they suggested an adaptive time out for DIO to detect the disconnection more quickly. They also produced an adaptive probing mechanism to check the connectivity and a proactive discovery mechanism to discover new parents by sending specific DIS messages.…”

Section: A Reactive Methodsmentioning

confidence: 99%

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MSE-RPL: Mobility Support Enhancement in RPL for IoT Mobile Applications

Vaezian

Darmani

2022

IEEE Access

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Due to the expansion of IoT applications which causes the generation of a massive amount of data, data routing is one of the most important challenges in these networks. The Routing Protocol for Lowpower and Lossy Networks (RPL) was developed to cope with the Low-power and lossy network constraints, which play a significant role in IoT networks. Although most IoT applications involve mobility and topology change that makes mobility support a substantial need to prevent disconnection of nodes and data loss, the RPL is designed for static networks. This article proposes a mobility support method called MSE as an extension of RPL. The MSE supports mobility of all nodes except the root node, and it provides a seamless connection during the mobility. It also manages a situation when a physical obstacle settles between two paired nodes in a dynamic environment. To this end, it uses a dynamic trickle timer with two different ranges, a neighbor link quality table, a function to select the best parent in case of mobility, confidence, critical zones, and a blacklist. Simulations in multiple scenarios indicate that MSE, despite causing a slight increase in signaling cost and power consumption, significantly reduces hand-off delay, increases Packet Delivery Ratio, reduces the number of lost data packets, and outperforms both RPL as a reactive and mRPL as a proactive protocol regarding mobility.

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Section: A Reactive Methodsmentioning

confidence: 99%

“…The RSSI determines the link quality in the MSE method, and a threshold is defined based on the RSSI value to determine the boundary between the confidence zone and the critical zone. Similarly, some previous methods utilized the concept of RSSI-based defined zones in different ways and functionalities [19,21].…”

Section: Critical and Confidence Zonesmentioning

confidence: 99%

MSE-RPL: Mobility Support Enhancement in RPL for IoT Mobile Applications

Vaezian

Darmani

2022

IEEE Access

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“…IEEE 802.15.4e time-slotted channel hopping (TSCH) [2], a MAC protocol for low-power and lossy network (LLN), is one of those examples. It has been designed to satisfy the growing demand for more reliable and energy-efficient LLNs in emerging Internet of Things (IoT) applications such as industrial IoT [3]- [8], in-vehicle IoT [9], [10], environmental monitoring [11]- [14], home IoT [15], and health IoT [16]- [18]. TSCH brings the benefits of time-slotted communication to LLN, and its channel hopping allows the network to become more robust to external interference or multi-path fading through frequency diversity.…”

Section: Introductionmentioning

confidence: 99%

Slot-Size Adaptation and Utility-Based Packet Aggregation for IEEE 802.15.4e Time-Slotted Communication Networks

Kim,

Lee,

Shin

et al. 2024

IEEE Internet Things J.

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Time-slotted communication is used in countless protocols and systems. IEEE 802.15.4e time-slotted channel hopping (TSCH) is one of those examples which has shown remarkable performances in the literature. However, time-slotted systems have one fundamental drawback: a slot is predefined to be sufficiently long enough to accommodate one exchange of a maximum-sized packet and an acknowledgment. If most packets in the system are far smaller than the maximum, a significant amount of residue time within each slot is wasted, leading to corresponding loss in effective data rate. To address this fundamental challenge, we propose utility-based adaptation of slot-size and aggregation of packets (ASAP) which reduces wasted time in slotted systems to improve throughput and latency. ASAP consists of two orthogonal approaches: slot-length adaptation (SLA) dynamically adapts timeslot length to actual packet size distribution, and utility-based packet aggregation (UPA) transmits aggregated packets in multiple consecutive slots to maximize slot utility. We case-study ASAP in the context of TSCH. We implement ASAP on real embedded devices, and evaluate on large-scale testbeds using state-of-the-art schedulers to demonstrate a 2.21x improvement in throughput as well as a 78.7% reduction in latency.

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“…The name "Internet of Things" is regarded a misnomer because gadgets do not need to be linked to the public Internet, only to a network and be individually addressable (Alsulaimani & Islam, 2022). The IoT refers to the network of physical devices, vehicles, home appliances, and other objects embedded with sensors, software, and connectivity that enables these objects to connect and exchange data (Fekete & Kiss, 2023;Kim et al, 2022). This technology allows for increased automation, improved efficiency, and enhanced connectivity between various devices (Qamar, 2023).…”

Section: Introductionmentioning

confidence: 99%

Priority RPL for IOT Based Smart Manufacturing Industries

2023

JAETS

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A routing protocol used in heterogeneous transport networks for low-power, lossy networks. This is a routing protocol for wireless networks. This protocol follows the same specifications as Zigbee, 6 lopan is IEEE 802.15. 4 Enables both many-to-one and one-to-one communication. To address the need for enhancing in this study proposes a novel methodology called RPL-PG (Routing Protocol for Low-Power and Lossy Networks Priority Generation). Initially sensors like Temperature, Humidity, Vibration, Proximity, Gas and Current Monitoring Sensors are used for smart manufacturing. Consequently, Destination Oriented Directed Acyclic Graph (DODAG) is used for RPL configuration. Based on selected RPL configuration the priority is generated using assign priority count and priority-based queuing. Finally, Fuzzy rules are used to select the RPL path and then update the DODAG finally reached the destination. The study involves setting up a simulated environment using appropriate tools, such as MATLAB. Experimental findings evaluate and compares performance measures, such as Energy Consumption, Network Life Time, Packet Loss Ratio, Packet Delivery Ratio (PDR), E2E Delay, and Network Throughput. The Energy Consumption of the proposed RPL-PG method achieves 43.6 % lower than 38 % and 35.8 % in terms of OMC-RPL and RMA-RP respectively.

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MobiRPL: Adaptive, robust, and RSSI-based mobile routing in low power and lossy networks

Abstract: Article that has been accepted for inclusion in a future issue of a journal. Content is final as presented, with the exception of pagination.

Cited by 12 publications

References 39 publications

MSE-RPL: Mobility Support Enhancement in RPL for IoT Mobile Applications

MSE-RPL: Mobility Support Enhancement in RPL for IoT Mobile Applications

Slot-Size Adaptation and Utility-Based Packet Aggregation for IEEE 802.15.4e Time-Slotted Communication Networks

Priority RPL for IOT Based Smart Manufacturing Industries

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