An Adaptive Threshold Load Balancing Scheme for the End-to-End Reconfigurable System

Zhang, Yongjing; Zhang, Kui; Ji, Yang; Zhang, Feng; Zhang, Ping

doi:10.1007/s11277-007-9355-3

Cited by 13 publications

(4 citation statements)

References 10 publications

(16 reference statements)

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“…This solution aims to optimize radio resource use while still fulfilling the Quality-of-Service standards established by the application. According to [26], adaptive technology for load balancing-based handovers has been implemented. As opposed to the previous strategy, this one recognizes when necessary to conduct a handover but does not identify the proper destination access network.…”

Section: Related Workmentioning

confidence: 99%

Routing Algorithm in Hybrid Network for Vanet Under Load Distribution

Shukla¹

2022

INDJCSE

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This study presents the interconnected VANET and 4G mobile networks linked. Its benefit is the highspeed transmission of VANET on the one hand and the massive 4G system on the other, which makes it a valuable resource. Furthermore, the advantages of this network outweigh the disadvantages of WiMAX and ad-hoc networks. Routing in heterogeneous networks has emerged as a prominent study subject in VANET to preserve the varied features of ITS (Intelligent Transport Systems) applications while maintaining their diverse characteristics. We offer a routing technique that includes no extra network cost for hybrid networks. The findings demonstrate that the suggested approach generates better results when varied simulation settings are considered. This technique maximized the average packet deliver ratio while simultaneously minimizing average latency, route length (including transmission time), and request block rate (as measured by the results).

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Section: Related Workmentioning

confidence: 99%

Routing Algorithm in Hybrid Network for Vanet Under Load Distribution

Shukla¹

2022

INDJCSE

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“…Figure 1 demonstrates the algorithmic classification of load balancing in SDN network. The classificationisdonebasedonrouting,filtering,optimization,probabilistic,frameworks,scheduling anddistanceparameters.Accordingly,inrouting,RBSR ,Taser , Bellman-Fordalgorithm(Lee&Sheu,2016),routingwavelengthalgorithms (Simeonidou,et al, 2013)wereadoptedthatcontributes6.66%oftheentirecontribution.Similarly,filteringoffersabout 8.33%oftheentirecontributionthatinvolvesschemeslike,NLMSalgorithm (Montazerolghaem, et al,2017),FlowMon (Xing,et al,2016), CHA(Trajano&Fernandez,2016),LM (Bradai,et al,2015),PTA (Liu,et al,2015).Optimizationalgorithmscompriseabout18.33%oftheentire contributionanditincludesschemessuchas,POS (Basta,et al,2017),MCOPSO (He,et al,2016), PressureStaticAlgorithm (Tuncer,et al,2015),SA (Lange,et al,2015) (Ahmadi&Khorramizadeh, 2018;Hu,et al,2015),CSO ,P-Pathalgorithm (Ru,et al,2013), DPS (Kanonakis,et al,2013)andHFA (Kang&Choo,2016).Also,probabilisticschemesincludes algorithmslike,SMDM (Wang,et al,2017c),Markovapproximation (Huang,et al,2016),Vgala (Han&Ansari,2016),BHT (Lin,et al,2016a),UCHO (Tartarini,et al,2018),TPR (Chen,et al,2018a),PFSCA ,PTA (Lin,et al,2016b),ANCE (Silva,et al,2016),Non-Markovianmodel (Longo,et al,2015),FLA (Guo,et al,2014),DMDA (Tao,2018),ANDSF (Yang, et al,2016),PDO (Duan,et al,2015),ATLB (Zhang,et al,2008)andEMA (Wang,et al,2017d) models,thatprovidesabout26.67%oftheentirecontribution.Inaddition,frameworkscomprises of10%ofthetotalcontributionwhichinvolvesschemeslike,RFHC (Wang,et al,2017b),crosslayerdesign (Niu,et al,2016),dataplanescheme…”

Section: Algorithmic Classificationsmentioning

confidence: 99%

Extensive Literature Survey on Load Balancing in Software-Defined Networking

Darade

Akkalakshmi

2020

International Journal of Business Data Communications and Networking

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The localization of underwater sensors is the most crucial task in underwater wireless sensor networks (UWSNs). The sensors, which are situated under the water, sense data from the environment, and sensed data is transmitted to the monitoring station. Although the monitoring station receives the sensed data, the data is meaningless without knowing the exact position of the sensor. Localization is the major issue in UWSN to be resolved. There are several localization algorithms available for terrestrial wireless sensor networks (WSN), but there are comparatively few localization algorithms available for UWSNs. An improved range-based localization method is introduced in this paper to discover localization issue. To evaluate the location of the target sensors, localization error is further to be reduced. The localization error is reduced by applying the whale optimization algorithm (WOA) in this technique. Simulation results demonstrate that performance metrics of the proposed approach outperform the existing work in terms of localization error and localization coverage.

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“…An adaptive threshold for load balancing based handover enforcement initiation was introduced in [16]. Although this approach makes it possible to detect the need of initiating a handover, the suitable target access network is not addressed.…”

Section: Related Workmentioning

confidence: 99%

Efficient Load Balancing Algorithm over Heterogeneous Wireless Packet Networks

Nguyen-Vuong

Agoulmine

2011

REV-JEC

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Abstract-The paper aims at improving the load balancing algorithm in wireless packet cellular networks and particularly in coordinated heterogeneous wireless packet networks. Our main contributions are two-fold. First, we introduce a new approach to compute the network load metric based on the radio link quality and scheduling information, which can be applied to any wireless packet system. This load metric hides the radio resources heterogeneity of different access technologies from the load balancer. Secondly, we propose a new practical load balancing algorithm which provides a more efficient way to manage the scarce radio resources. The proposed approach has been compared with different existing schemes and the results show the superiority of the proposed solution.

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An Adaptive Threshold Load Balancing Scheme for the End-to-End Reconfigurable System

Cited by 13 publications

References 10 publications

Routing Algorithm in Hybrid Network for Vanet Under Load Distribution

Routing Algorithm in Hybrid Network for Vanet Under Load Distribution

Extensive Literature Survey on Load Balancing in Software-Defined Networking

Efficient Load Balancing Algorithm over Heterogeneous Wireless Packet Networks

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