An Active RFID Tag-Enabled Locating Approach With Multipath Effect Elimination in AGV

Lu, Shao-Ping; Xu, Chen; Zhong, Ray Y.

doi:10.1109/tase.2016.2573595

Cited by 48 publications

(19 citation statements)

References 24 publications

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“…The seven elements have the granularity matrices: Based on the granularity matrix, the entropy space is shown in Fig. 2 For R(5), using the same steps from the proposed algorithm, we can get the entropy set 2, 3, 4), (5,6,9), (7,8,10)…”

Section: An Experimental Casementioning

confidence: 99%

“…3. Granularity space topology for R (5) For R (3), there is only one element 3 1 (1,2,3,4,5,6,7,8,9,10) x  , the matrix is then as follows: (13) 3 1 1 ((2,1,1), (5, 3, 2) ((3, 2,1), (7, 5, 3)) 1 ((5, 3, 2), (8,6,3) (1,1,1,1), (2,1,1,1), (3, 2,1,1), (4, 2,1,1), (5,3,2,1)…”

Section: An Experimental Casementioning

confidence: 99%

“…The need for network service has exceeded the service capacity of the network, and the Quality of Service (QoS) is gradually declining [2]. The purpose of optimizing network resources is to make full use of the resources under the premise of satisfying the quality requirements of the service and to avoid the situation where some resources are not fully utilized [3][4][5][6][7]. The traditional 63…”

Section: Introductionmentioning

confidence: 99%

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QoS Routing Algorithm Based on Entropy Granularity in the Network Transmission

2019

Cybernetics and Information Technologies

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With the rapid development of computer networks, more hosts are connected to the Internet where they could communicate with each other. The need for network service has exceeded the service capacity of the network, and the Quality of Service (QoS) is gradually declining. Based on existing Shortest Path First (SPF) algorithm, this paper proposes a new QoS required transmission path approach by considering the overhead balance of network resources. This paper uses the entropy granularity as the main line in the application of routing protocols. Firstly, it researches the optimization of routing algorithms for network load balancing resources, routing algorithms based on link traffic distributing weights, link weight optimization based on adaptive genetic algorithm and computational intelligence based on entropy granularity theory. This research proposes a method to apply entropy granularity to Open Shortest Path First (OSPF) routing, including the implementation of the method. After that, a case study is presented by using some examples.Shortest Path First (SPF) algorithm (such as Dijkstra's algorithm) mainly focuses on how to find a best path to meet the request or have the largest possibility to meet the request path [8,9]. However, it may ignore the overall network resources and cause low comprehensive utilization. There may even be some problems such as network congestion, which may cause the decreasing in the overall number of requests and affect the performance of the network [10].Bellman-Ford algorithm considering two variables (path bandwidth, link transmission delay) was proposed to solve the QoS routing problem [11]. This algorithm makes assumptions about the network model, assuming that a node-based router adopts a rate-based scheduling algorithm. From the calculation formula of the maximum end-to-end delay of the scheduling algorithm, the factors that determine the path delay including link transmission delay and path bandwidth can be identified. Therefore, the network topology maps based on different bandwidths was introduced to calculate the shortest path according to the link length on different topological maps [12]. The algorithm maximizes the use of network resources at the time and satisfies a certain QoS request at that time. However, the algorithm does not consider the cost paid by the network. For example, when the available network topology map is constructed to meet a traffic request, some bandwidth is insufficient, and the link is pruned [13,14]. When there are more requests, especially in the cast of heavy network load, subsequent requests may not be satisfied because of the previous occupancy of bandwidth, which may lead to a decrease in overall reception rate [15]. In addition, if the load balancing algorithm pursues the greatest degree of balanced use of network resources, not only delay sensitive services cannot accept the computational delay caused by complex calculations, but also it is not necessary to achieve the absolute equilibrium state of the network.Based on existing SPF algor...

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Section: An Experimental Casementioning

confidence: 99%

Section: An Experimental Casementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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QoS Routing Algorithm Based on Entropy Granularity in the Network Transmission

2019

Cybernetics and Information Technologies

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“…RBPA is the progressing methodology used to organize programming or an "Autonomous Robot" to translate existing applications for handling the product. It is changing the way in which we think in the business perspective [14,15].…”

Section: B Intelligent Agv and Rbpamentioning

confidence: 99%

A Self Configurable Edge Computing for Industrial IoT

Chandramohan¹,

Senthilkumaran²

2019

IJEAT

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The proliferation of Industrial Internet of Things (IIoT) introduces the concept of a smarter production environment. The emerging technologies like software defined network (SDN), IIoT and cloud computing will bring great advancements in the modern industrial revolution called Industry 4.0. Therefore, with the rapid development of IIoT technology, the proposed work incorporates with Edge Computing (EC). The current manufacturing process and automation, computing and wireless network reaches out to headways in innovation from easy to the point where all things (devices) and machines can interface through an Internet of Everything (IoE). This paper extends the work carried out in traditional methods, by integrating the cloud layer, Automatic Guided Vehicles (AGV), Industrial Wireless networks (IWN) and Industrial robots through EC is conferred to make autonomous decision-making capabilities. EC is emerging as a significant element in the smart industry to bring legacy in the context of Industrial IoT (IIoT). Finally, our proposed framework demonstrates that the active RFID-enabled AGV and industrial robots are brought in to exploit for effective resource management under the EC-based IIoT architecture, subsequently, it improves the conveyor efficiency and overall energy consumption in the warehouse for material handling.

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“…Despite the benefits offered by RFID, such as low cost and small size, it also has constraints, for example, it cannot provide detailed information about objects state, pin-point position, or environment. It more or less provides unique identification and general positional area (Lu et al, 2016(Lu et al, , 2017. It also has no processing power, so it cannot perform logic or filter/clean any data (Wang et al, 2014).…”

Section: Internet Of Thingsmentioning

confidence: 99%

Internet of things enabled manufacturing: a review

Zhong

2018

IJASM

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Internet of things (IoT) plays an important role in the manufacturing sector, allowing objects to be sensed and/or controlled remotely across existing network infrastructure, creating opportunities for more direct integration of the physical world into computer-based systems, and therefore resulting in improved efficiency, accuracy and economic benefit in addition to reduced human intervention. With the worldwide spread of Industry 4.0, IoT-enabled manufacturing is now one of the key supports to smart factory, intelligent automation, and real-time adaptive decision-makings. This paper comprehensively reviews related technologies and worldwide movements so that insights and lessons could be useful for academia and practitioners when contemplating IoT technologies for upgrading and transforming traditional manufacturing into an new future in the context of Industry 4.0.

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An Active RFID Tag-Enabled Locating Approach With Multipath Effect Elimination in AGV

Cited by 48 publications

References 24 publications

QoS Routing Algorithm Based on Entropy Granularity in the Network Transmission

QoS Routing Algorithm Based on Entropy Granularity in the Network Transmission

A Self Configurable Edge Computing for Industrial IoT

Internet of things enabled manufacturing: a review

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