Routing optimization for cloud services in SDN-based Internet of Things with TCAM capacity constraint

Xu, Shizhong; Xiong, Wei; Yang, Guangxu; Ren, Jing; Wang, Sheng

doi:10.1109/jcn.2020.000006

Cited by 47 publications

(25 citation statements)

References 32 publications

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“…Comprehensive development focusing only on a certain aspect will inevitably be limited to passivity. Domestic theories of emergency management still lack systematic and comprehensive research, or they only emphasize the responsibility of the government or relevant organizations [ 19 ], which should attract the attention of relevant people, or they only discuss how to formulate corresponding laws, policies, and regulations or just some problems related to system design. Emergency organizations are generally divided into national and local levels [ 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things

Feng

Zhong-yu

2021

Journal of Healthcare Engineering

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Due to the limitation of economic geography condition, the existing health resources distribution is uneven, the emergence of remote medical disciplines perfectly solved this difficult problem, using computer and network communication network on audio video information transmissions, querying, display, storage, and backup and realizing the network of outpatient service, remote consultation, health advice, and other functions. Telemedicine enables the limited available medical resources to be shared and fully utilized and also enables many economically underdeveloped provinces to enjoy a higher level of medical sharing services. Public health emergency management system on the overall design of the low latency according to system function will be based on the Internet of things. The remote public health emergency management system is divided into three subsystems low latency modules, basic subsystems of platform, application platform, and specific application subsystems, and designs the structure of the various modules. The implementation process is given. In the realization of the system, this paper describes in detail how to realize the functions of the public medical low delay emergency management system, and, in the end, the realization process of the system is reasonably summarized. The application of Internet of things technology in regional emergency rescue can realize the identification and real-time positioning of material personnel, the collection and transmission of the wounded’s physiological information, real-time information transmission, and interaction based on mobile handheld devices, as well as the integration of emergency rescue resources, information integration, and command decision-making, so as to assist rescue operations and improve rescue efficiency.

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Section: Introductionmentioning

confidence: 99%

Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things

Feng

Zhong-yu

2021

Journal of Healthcare Engineering

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“…The methods adopted for the evaluation include: SecTrust‐RPL, 4 PMIpv6 approach, 19 SCOTRES, 16 QER, 23 Xu et al 24 and proposed ASSFO algorithm.…”

Section: Resultsmentioning

confidence: 99%

“…However, security was the major issue of this method. Xu et al 24 developed many approximate algorithms for software‐defined networking (SDN)‐based IoT with TCAM capacity constraints to solve the routing optimization problems. This method was performed well in the load balancing in SDN‐based IoT.…”

Section: Motivationsmentioning

confidence: 99%

Atom search sunflower optimization for trust‐based routing in internet of things

Jadhav¹,

Joshi

2020

Int J Numerical Modelling

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Internet of Things (IoT) is a ubiquitous network that assists the system to monitor and organize the world by processing, collection, and analysis of produced data by IoT nodes. The IoT is susceptible to numerous attacks, wherein the sinkhole attack is the most destructive one, which affects the communication amongst network devices. The security of the IoT is affected due to the lack of dynamic network topology, centralized control, and network communications, so that the trust-based routing is important. The conventional trust-based routing strategies are ineffective to offer protection against attack and thus, trust management remains a major challenge in routing. This paper proposes a novel technique namely Atom Search Sunflower Optimization (ASSFO) for providing trust-based routing in IoT network. The proposed ASSFO is designed by incorporating Sunflower Optimization (SFO) in Atom Search Optimization (ASO). The method utilizes several trust factors for determining and isolating attacks while optimizing the performance of the network. The trust factors considered in the method include indirect trust, recent trust, integrity factor, direct trust, and availability factor. Moreover, the trusted nodes are selected using the trust factor and further used for secure routing using the proposed ASSFO algorithm. The proposed ASSFO outperformed other methods with maximal energy of 0.908, maximal trust of 0.845, maximal PDR of 0.907, and maximal throughput of 0.909.

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“…In energy minimization procedure, SDN can take the step to reduce energy consumption by incorporating various rules. Network programmability gives flexibility in adding various rules as to manage the data rate or incorporating sleep rules in switches [75]. Dynamically the controller manages to minimize energy consumption by monitoring the traffic load at a particular time.…”

Section: Energy Consumption In Sdnmentioning

confidence: 99%

Energy Efficiency in Software Defined Networking: A Survey

Rout¹,

Sahoo

Patra

et al. 2021

SN COMPUT. SCI.

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Software defined networking has solved many challenging issues in the field of networking industry. It separates the control plane from the data forwarding plane. This makes SDN to be more powerful than traditional networking. However, energy cost enhances the overall network cost. Therefore, this issue needs to be addressed to improve design requirements and boost the networking performance. In this article, several energy efficiency techniques have been discussed. To represent it in more detail, a thematic taxonomy of energy efficiency techniques in SDN is given by considering several technical studies of the past research. These studies have been categorized into three sub categories of traffic aware model, end-host aware model and finally rule placement. These models are provided with detailed objective functions, parameters, constraints and detailed information. Furthermore, useful visions of each approach, its advantages and disadvantages and compressive analysis of energy efficiency techniques are also discussed. Finally, the paper is highlighted with the future directions for energy efficiency in SDN.

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Routing optimization for cloud services in SDN-based Internet of Things with TCAM capacity constraint

Cited by 47 publications

References 32 publications

Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things

Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things

Atom search sunflower optimization for trust‐based routing in internet of things

Energy Efficiency in Software Defined Networking: A Survey

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