Design and Performance Analysis of an Industrial IoT-based Mobility Management for Smart Manufacturing

Kim, Jeehyeong; Jeong, Jongpil

doi:10.1109/iemcon.2019.8936162

Cited by 8 publications

(3 citation statements)

References 10 publications

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“…Te emergence of IoT has broken the barrier between the physical world and the information world, successfully integrating reinforced concrete, machines, and the Internet into a new whole and better serving human production and life. Terefore, IoT is also called a new wave of technology in the world of information and has become a hotspot for research and development and a technological high point in the new round of information technology [7]. Te IoT positioning technology is an important technology of IoT, which refers to the technology of obtaining the location of objects through various sensors in the IoT [8].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Control System Design of Ring Light via IOT Mobile Robot

Kang¹,

Teng²

2023

Journal of Robotics

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In the Internet of Things (IoT) era, the combination of mobile robots and IoT technology has realized the complementary advantages of the IoT and robots, which has brought new challenges and opportunities for the development and application of the IoT and mobile robots. In this study, a mobile robot positioning system based on the wireless positioning technology of the IoT is first designed, and an adaptive federated filtering algorithm based on the confidence of the sensor measurement data is given, and the data fusion processing is carried out for the positioning system to achieve the accurate positioning of the mobile robot. Then, we embed the intelligent control system of the ring lamp and propose an adaptive fuzzy PI double closed loop equalization control strategy, which can automatically identify the number of interlaced parallel and ensure its equalization effect. The experimental results show that the equalization strategy designed in this study has a good equalization effect in the loop interleaving parallel topology, strong adaptive parameter adjustment ability, good robustness, and anti-interference.

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Section: Introductionmentioning

confidence: 99%

Intelligent Control System Design of Ring Light via IOT Mobile Robot

Kang¹,

Teng²

2023

Journal of Robotics

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“…Among the global mobility protocols, PMIPv6 [18,19] and HMIPv6 [20] use traffic to locate target addresses in the network and to access top-level gateways. This is applied to the smart factory [21][22][23][24], which is divided into connecting the factory with the factory and connecting the mobile with the mobile. However, when applying the global mobility protocol to communications between adjacent mobile devices, the traffic is less efficient.…”

Section: Introductionmentioning

confidence: 99%

Design and Performance Analysis for Edge Intelligence‐Based F‐PMIPv6 Mobility Support for Smart Manufacturing

Kim

Park

Moon

et al. 2021

Wireless Communications and Mobile Computing

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In this paper, we propose a new mobility management network, i-FP, to be used in the smart factory that continues to develop in the Fourth Industrial Revolution. i-FP was created to solve the current local mobility management problem of legacy frameworks. MN (mobile node) refers to a mobile device in a manufacturing environment that includes workers, production facilities, and AGV. To allow mobile nodes (MNs) to move from one domain to another, i-FP uses three network entities: LFA (Local Factory Anchor), FAG (Factory Access Gateway), and MN, as an extended concept of PMIPv6. Among the three network entities in i-FP, LFA and FAG can act as edge intelligence devices to reduce the handover latency of the MNs. i-FP also uses IP header-swapping mechanisms to prevent traffic overhead and enhance network throughput. We evaluate new framework i-FP, PMIPv6, and HMIPv6, which are legacy protocols of local mobility management, in various ways and evaluate three schemes. We confirm that i-FP works better than do the other network methods used in the smart factory.

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“…This routing architecture uses a data structure to store routing information. In paper [5], the authors propose a mobility management technique for smart factories, which uses the IoT technique, in a sensor-based network. The performance analysis that was carried out, which takes mobility into account, shows that the proposed technique is effective compared to the PMIPv6 technique (Proxy Mobile Internet Protocol version 6).…”

mentioning

confidence: 99%

New Mobility Model for Mobile and Geographic Cross-layer Architecture for Mobile IoT Networks

2022

JMTCM

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The paper proposes a new mobility model. For a mobile and geographic cross-layer architecture. This cross-layer architecture allows service differentiation between real-time and best-effort traffic. for a mobile internet of things (IoT) network. We present a mathematical model, which works on the parameters of the MAC layer and the network layer. The mathematical model makes it possible to calculate the throughput, between a source object and a destination object (gateway). Under conditions of stable queues. We use the positional (geographic) information in the mathematical model of the proposed cross-layer architecture. To study the impact of mobility on the performance of the proposed mathematical model. The proposed mobility model defines two-time intervals. The first interval for communication (transmission and reception of data without mobility at the same time). And the second time interval for the mobility of objects of the IoT network (without communication at the same time). The results show that the calculated throughput depends on the position of the objects, as well as the probability of transmission. Finally, we study the effect of distance and speed on the performance of the proposed cross-layer architecture.

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Design and Performance Analysis of an Industrial IoT-based Mobility Management for Smart Manufacturing

Cited by 8 publications

References 10 publications

Intelligent Control System Design of Ring Light via IOT Mobile Robot

Intelligent Control System Design of Ring Light via IOT Mobile Robot

Design and Performance Analysis for Edge Intelligence‐Based F‐PMIPv6 Mobility Support for Smart Manufacturing

New Mobility Model for Mobile and Geographic Cross-layer Architecture for Mobile IoT Networks

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