Extensive Literature Survey on Load Balancing in Software-Defined Networking

Darade, Santosh; Akkalakshmi, M.

doi:10.4018/ijbdcn.2020070101

Cited by 3 publications

(3 citation statements)

References 92 publications

(66 reference statements)

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“…SDN removes all the middle boxes which are cumbersome on the way, for taking the right decision about where to send the actual packet. Removing all such obstacles in traditional networking, SDN makes a programmable network where the router is free from all complex time consuming and computationally expensive routing algorithms [37,41,42].…”

Section: Background Of Sdnmentioning

confidence: 99%

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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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Section: Background Of Sdnmentioning

confidence: 99%

“…Table 1 presents the comparison between different survey papers [31][32][33][34][35][36][37][38][39]. The table columns show the survey papers, year, overview, performance, energy, security, load balancing, QoS.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency in Software Defined Networking: A Survey

Rout¹,

Sahoo

Patra

et al. 2021

SN COMPUT. SCI.

View full text Add to dashboard Cite

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“…Global positioning system is a de facto standard for localization, but this system does not always work because sometime GPS might not available in indoor system, buildings and subways. GPS system also need line of sight and it may cost high because of the receiver cost [4].…”

Section: Introductionmentioning

confidence: 99%

Network Aided Positioning Techniques Based on Rssi and Signal Processing

Kevin¹

2020

ijarcs

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The researcher's attentiveness has been diverted to create mobile positioning techniques based on RSSI and with signal processing techniques like GPS and multidimensional scaling. The localization system has been proposed in different topologies with a lot of tactical challenges in mobile positioning. Several positioning systems has been proposed for mobile based wireless sensor network and some are in a dense environment. In consequence, it is not practical to use a same localization system for different types of networks. Therefore, a system and algorithm are required which can calibrate itself and transform the global coordinates according to the environmental changes. In this article we provide an overview of different localization systems and provide some insight overview for future researchers.

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A survey on node localization technologies in UWSNs: Potential solutions, recent advancements, and future directions

Nain,

Goyal,

Dhurandher

et al. 2024

Int J Communication

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SummaryLocation‐based underwater communication applications such as strategic surveillance, disaster prevention, marine research, and mine detection have given the field of underwater wireless sensor networks (UWSN) a head start. Node localization is a prerequisite for accurate data collection, target monitoring, and network management in UWSNs. However, the unique characteristics of the underwater environment, such as signal attenuation, multipath propagation, and variable acoustic properties, pose a major challenge to effective node localization. Accurate sensor node location data is essential for successful underwater data collection, but difficult to achieve as the GPS system cannot be used in an underwater environment. In this paper, existing node localization techniques such as ALS, SLUM, MASL, SLMP, UDB, USP, etc., and recent advances such as the fusion of range‐based and range‐free techniques, the fusion of RSSI and AoA to improve localization accuracy by using directional information in addition to signal strength, and the use of optimization techniques such as PSO, COA, and WOA algorithms to improve the accuracy of the applied node localization algorithm, e.g., TP‐TSFLA, and challenges related to UWSN are discussed. Also, different localization algorithms that affect the accuracy of UWSN localization techniques have been evaluated and compared with NS2 in terms of localization error, localization coverage, energy consumption, and average communication cost metrics. In addition, this paper also provides an up‐to‐date investigation of localization techniques. Finally, the tools available for simulation are presented, followed by open research questions that need to be addressed in the localization of nodes.

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Extensive Literature Survey on Load Balancing in Software-Defined Networking

Cited by 3 publications

References 92 publications

Energy Efficiency in Software Defined Networking: A Survey

Energy Efficiency in Software Defined Networking: A Survey

Network Aided Positioning Techniques Based on Rssi and Signal Processing

A survey on node localization technologies in UWSNs: Potential solutions, recent advancements, and future directions

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