Optimized Path and Reduced Rule Caching Cost for Software Defined Network (SDN) Based Internet of Things (IOT)

Mahantesh, H. M.; Guptha, M. Nageswara; Hema, M.

doi:10.1007/s11277-021-08698-4

Cited by 11 publications

(3 citation statements)

References 13 publications

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“…Considering that the vehicle load, fuel consumption and user demand are changing in real time during the distribution process, the study has decided to use the improved AFSA to solve the problem. The traditional AFSA consists of four behaviours: foraging, swarming, tail-chasing and randomisation [18]. The foraging behaviour, in which the artificial fish finds the water with the most food through its own mutual perception with the environment, is the basis of the whole algorithm and is calculated in Equation 2.17.…”

Section: Vehicle Path Optimization Strategy Based On Afsa Algorithmmentioning

confidence: 99%

A Dynamic Path Optimization Model of IOT Delivery Vehicles for E-commerce Logistics Distribution

2023

SCPE

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Logistics and distribution is a vital link to guarantee the stable supply of the e-commerce market and the healthy development of the industry. With the constant growth of the e-commerce, the efficiency and service quality of logistics and distribution have been paid more and more attention to. Therefore, the study firstly Considering distribution fixed cost, transportation penalty cost and carbon emission cost, the vehicle routing optimization model is transformed into the lowest transportation cost model, then uses an improved traditional artificial fish swarm algorithm to find the optimum way for this model, and finally verifies its performance and applicability through experiments. The performance test results show that the algorithm finds the optimal solution 3589 and 3590 in 63 and 78 iterations in the Oxford Robot Car dataset and Apollo Scape dataset, respectively; the average running time of the algorithm is 11.864s and 11.967s in the 10 operation time tests; in the operation function test, the algorithm. The algorithm was able to overcome the local optimal solution problem. The applicability simulation shows that this algorithm stabilizes after 53 iterations, the minimum cost of the optimal solution of the model is $41,224, and the total distance of distribution is 9035 km. The research algorithm is fast in finding the optimal value, which is close to it, indicating that the algorithm is highly efficient and reliable, and can greatly optimize the path of e-commerce logistics delivery vehicles, and give a theoretical foundation for the optimization of logistics delivery paths in other industries.

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Section: Vehicle Path Optimization Strategy Based On Afsa Algorithmmentioning

confidence: 99%

A Dynamic Path Optimization Model of IOT Delivery Vehicles for E-commerce Logistics Distribution

2023

SCPE

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“…Based on the analysis of various research papers, the related works are summarized below. Mahantesh et al [25] established a SDN architecture based on IoT devices for the efficient selection of optimal path for data forwarding. In order to attain effective heterogeneous flows, maintenance of cache, method of QOPS-RCP (QoS aware optimum path selection and rule caching policy) were implemented.…”

Section: Related Workmentioning

confidence: 99%

QoS based Optimal Path Selection Using Adaptive Sparse Bayesian Find-FixFinish-Exploit-Analyze Based Extreme Learning Machine for SDN based IoT Networks

2023

IJIES

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SDN (software defined network) is a networking approach which enables the IoT (internet of things) to be maintained through programming. The assessment of best routing path satisfying the requirements of QoS (quality of service) possess a significant role in networking. Several methods have been employed by the researchers for maintaining the necessities of QoS. But due to certain limitations like data latency, protocol complexity and bursty traffic which affects the network performance. In the proposed work, adaptive sparse bayesian-find fix finish exploit analyze-extreme learning machine (ASB-F3EA-ELM) is employed with four steps such as cluster formation, cluster head selection, rule caching policy and optimal path selection. The cluster formation is performed by using grid structures for forwarding the data packets. To avoid data transfer from all the IoT nodes, process of cluster head selection for each cluster is performed by modified aquila optimizer (MAO). A prominent rule caching policy is implemented for reducing rule caching cost in SDN based IoT architecture. The best routing path for effective data transfer is performed by the approach of ASB-F3EA-ELM. The performances of proposed approach are analyzed in the NS2 platform. The outcomes are estimated in terms of bandwidth, rule caching cost, delay, throughput, network lifetime and packet loss rate. When comparing to the existing methods, the proposed work shows better output in satisfying the requirements of QoS as it achieved improvement in throughput of 3.89% to 7.97%, packet loss rate reduced from 0.11% to 0.07%, network lifetime increased by 13.75% to 27.5% as compared to PSO, GA, ACO and GWO methods.

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“…We use the Internet of ings technology to improve the quality, integration, and safety of the park and its buildings and realize the intelligent development of the park. is is the current concern of many park managers and park economic researchers, and it is also the development direction of park construction [20][21][22]. Based on the results of the demand analysis, we conducted a research on the construction plan of the smart park in the era of the Internet of ings, including the use of the Internet of ings technology to build the platform of the smart park, and the ideas and access methods of the intelligent systems in the smart park to access the platform.…”

Section: Introductionmentioning

confidence: 99%

Application of Internet of Things and Data Optimization in the Design of Smart Medical Park

Liao

Zhong

2022

Mobile Information Systems

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The ecological development of industrial parks has become a concern in current urban planning. The traditional development model and development ideas of pharmaceutical industrial parks need to be changed urgently, not only to improve their own functions but also to use land more effectively and save resource costs. Aiming at the problems existing in the construction of the park, this paper studies the use of the Internet of Things technology to build a smart park platform to realize the access of intelligent systems and equipment in the park. First of all, starting from the background of the combination of smart parks and the Internet of Things, by analyzing the architecture of the Internet of Things, it studies the requirements for the combination of smart parks and the Internet of Things technology. Second, according to the results of the demand analysis, we conducted a research on the construction plan of the smart park in the Internet of Things era, including the construction of the smart park platform using the Internet of Things technology, the ideas and access methods of the intelligent system access platforms in the smart park, and the research on the construction of the intelligent park platform architecture based on the Internet of Things and decision tree technology. Finally, the specific implementation process of its access to the smart campus platform is studied through simulation tests, and the feasibility of the access method is verified.

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Optimized Path and Reduced Rule Caching Cost for Software Defined Network (SDN) Based Internet of Things (IOT)

Cited by 11 publications

References 13 publications

A Dynamic Path Optimization Model of IOT Delivery Vehicles for E-commerce Logistics Distribution

A Dynamic Path Optimization Model of IOT Delivery Vehicles for E-commerce Logistics Distribution

QoS based Optimal Path Selection Using Adaptive Sparse Bayesian Find-FixFinish-Exploit-Analyze Based Extreme Learning Machine for SDN based IoT Networks

Application of Internet of Things and Data Optimization in the Design of Smart Medical Park

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