Energy Efficiency in Software Defined Networking: A Survey

Rout, Suchismita; Sahoo, Kshira Sagar; Patra, Sudhansu Shekhar; Sahoo, Bibhudatta; Puthal, Deepak

doi:10.1007/s42979-021-00659-9

Cited by 17 publications

(5 citation statements)

References 91 publications

(114 reference statements)

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“…While transmission to the next hop by multi-hop method the residual energies of node j and k are calculated as Eqs. ( 22) and (23).…”

Section: Performance Of Networkmentioning

confidence: 99%

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FSE2R: An Improved Collision-Avoidance-based Energy Efficient Route Selection Protocol in USN

Dash¹,

Hota²,

Panda³

et al. 2023

Computer Systems Science and Engineering

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The 3D Underwater Sensor Network (USNs) has become the most optimistic medium for tracking and monitoring underwater environment. Energy and collision are two most critical factors in USNs for both sparse and dense regions. Due to harsh ocean environment, it is a challenge to design a reliable energy efficient with collision free protocol. Diversity in link qualities may cause collision and frequent communication lead to energy loss; that effects the network performance. To overcome these challenges a novel protocol Forwarder Selection Energy Efficient Routing (FSE2R) is proposed. Our proposal's key idea is based on computation of node distance from the sink, Residual Energy (RE) of each node and Signal to Interference Noise Ratio (SINR). The node distance from sink and RE is computed for reliable forwarder node selection and SINR is used for analysis of collision. The novel proposal compares with existing protocols like H2AB, DEEP, and E2LR to achieve Quality of Service (QoS) in terms of throughput, packet delivery ratio and energy consumption. The comparative analysis shows that FSE2R gives on an average 30% less energy consumption, 24.62% better PDR and 48.31% less end-to-end delay compared to other protocols.

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“…While transmission to the next hop by multi-hop method the residual energies of node j and k are calculated as Eqs. ( 22) and (23).…”

Section: Performance Of Networkmentioning

confidence: 99%

“…It must be kept high in a network by limiting the traffic. If PDR is high throughput will also suffer, thus they are directly proportional [22,23].…”

Section: Performance Metricsmentioning

confidence: 99%

FSE2R: An Improved Collision-Avoidance-based Energy Efficient Route Selection Protocol in USN

Dash¹,

Hota²,

Panda³

et al. 2023

Computer Systems Science and Engineering

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“…The cloud node contains massive storage and processors with high-speed network connectivity and various application services [18][19][20]. For assigning services to suitable service nodes with appropriate distribution of workload in every node, Chen et al [21] proposed RQCSA and FSQSM, which improved the efficiency and minimized queue waiting time and makespan.…”

Section: Related Workmentioning

confidence: 99%

A Whale Optimization Algorithm Based Resource Allocation Scheme for Cloud-Fog Based IoT Applications

et al. 2022

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Fog computing has been prioritized over cloud computing in terms of latency-sensitive Internet of Things (IoT) based services. We consider a limited resource-based fog system where real-time tasks with heterogeneous resource configurations are required to allocate within the execution deadline. Two modules are designed to handle the real-time continuous streaming tasks. The first module is task classification and buffering (TCB), which classifies the task heterogeneity using dynamic fuzzy c-means clustering and buffers into parallel virtual queues according to enhanced least laxity time. The second module is task offloading and optimal resource allocation (TOORA), which decides to offload the task either to cloud or fog and also optimally assigns the resources of fog nodes using the whale optimization algorithm, which provides high throughput. The simulation results of our proposed algorithm, called whale optimized resource allocation (WORA), is compared with results of other models, such as shortest job first (SJF), multi-objective monotone increasing sorting-based (MOMIS) algorithm, and Fuzzy Logic based Real-time Task Scheduling (FLRTS) algorithm. When 100 to 700 tasks are executed in 15 fog nodes, the results show that the WORA algorithm saves 10.3% of the average cost of MOMIS and 21.9% of the average cost of FLRTS. When comparing the energy consumption, WORA consumes 18.5% less than MOMIS and 30.8% less than FLRTS. The WORA also performed 6.4% better than MOMIS and 12.9% better than FLRTS in terms of makespan and 2.6% better than MOMIS and 4.3% better than FLRTS in terms of successful completion of tasks.

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“…Controlling the overall process of networking is done using the software. SwitchWare [9][10] provides networking solutions dynamically through software. There are other examples like Click [11], Quagga [12], XOPR [13] and BIRD [14] giving the solutions for programmable routers for routing through the software.…”

Section: Figure 4 Layered Architecture In Sdnmentioning

confidence: 99%

Energy Efficient End Device Aware Solution Through SDN in Edge-Cloud Platform

et al. 2022

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Recently, the networking industries have gone through tremendous changes. It demands high-speed operations and complex problem-solving abilities. To manage these evolutions Internet-of-Things (IoT) is a proposed solution from several technical corners. Numerous researchers and government organizations showing their interest to provide solutions with IoT implementation. Handling a huge amount of network data, its privacy and security, Quality of Service (QoS) requirements and heterogeneity of underlying networking components are the various challenges in IoT implementations. To provide the solution, Software Defined Networking (SDN) is becoming a bliss in managing such complex networking problems. The allocation of the Virtual Machines (VMs) into the end device is an NP-Hard combinatorial optimization problem. We formulate the problem by using simple Additive Weighing (SAW) or Weighted Sum Method (WSM) to allocate the VMs asymmetrically based on CPU Utilization and Memory usage to optimize the energy. The proposed algorithm ServerCons minimizes the number of live migrations and the number of nodes used as well as the energy usage is at par with the state of art algorithms such as First-Fit-Decreasing(FFD), Best-Fit-Decreasing (BFD), and Modified-Best-Fit-Decreasing (MBFD).

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Energy Efficiency in Software Defined Networking: A Survey

Cited by 17 publications

References 91 publications

FSE2R: An Improved Collision-Avoidance-based Energy Efficient Route Selection Protocol in USN

FSE2R: An Improved Collision-Avoidance-based Energy Efficient Route Selection Protocol in USN

A Whale Optimization Algorithm Based Resource Allocation Scheme for Cloud-Fog Based IoT Applications

Energy Efficient End Device Aware Solution Through SDN in Edge-Cloud Platform

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