Energy efficient and reliable data gathering using internet of software-defined mobile sinks for WSNs-based smart grid applications

Faheem, Muhammad; Butt, Rizwan Aslam; Raza, Basit; Ashraf, M. Waqar; Ngadi, Md. Asri; Güngör, Vehbi Çağrı

doi:10.1016/j.csi.2019.03.009

Cited by 60 publications

(26 citation statements)

References 28 publications

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“…In summary, energy-efficient networks of the future are expected to harness a combination of all these techniques across the three levels-design and operation, data management, and architecture and routing-in a fashion as to fulfill their design objective. Networks deployed in highaccuracy applications, for example, in [131], would employ a different flavor of energy-efficient techniques from those deployed in noncritical applications. The same goes for all other applications.…”

Section: Transmission Routing Optimization and An Alternativementioning

confidence: 99%

Energy Efficient Design Techniques in Next-Generation Wireless Communication Networks: Emerging Trends and Future Directions

Ogbebor

Imoize

Atayero

2020

Wireless Communications and Mobile Computing

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The projected rise in wireless communication traffic has necessitated the advancement of energy-efficient (EE) techniques for the design of wireless communication systems, given the high operating costs of conventional wireless cellular networks, and the scarcity of energy resources in low-power applications. The objective of this paper is to examine the paradigm shifts in EE approaches in recent times by reviewing traditional approaches to EE, analyzing recent trends, and identifying future challenges and opportunities. Considering the current energy concerns, nodes in emerging wireless networks range from limited-energy nodes (LENs) to high-energy nodes (HENs) with entirely different constraints in either case. In view of these extremes, this paper examines the principles behind energy-efficient wireless communication network design. We then present a broad taxonomy that tracks the areas of impact of these techniques in the network. We specifically discuss the preponderance of prediction-based energy-efficient techniques and their limits, and then discuss the trends in renewable energy supply systems for future networks. Finally, we recommend more context-specific energy-efficient research efforts and cross-vendor collaborations to push the frontiers of energy efficiency in the design of wireless communication networks.

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Section: Transmission Routing Optimization and An Alternativementioning

confidence: 99%

Energy Efficient Design Techniques in Next-Generation Wireless Communication Networks: Emerging Trends and Future Directions

Ogbebor

Imoize

Atayero

2020

Wireless Communications and Mobile Computing

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“…This kind of network is easy to implement and maintain. Also lots of scopes are there to improve the energy efficiency of these protocols 20,43 . Some common methods are occasional deactivation of switches, reducing the size of content addressable memory, etc.…”

Section: Introductionmentioning

confidence: 99%

Minimum energy transmission forest‐based geocast insoftware‐definedwireless sensor networks

Banerjee

Sufian

Sadiq

et al. 2021

Trans Emerging Tel Tech

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Wireless Sensor Networks (WSNs)‐based geographic addressing and routing have many potential applications. Geocast protocols should be made energy efficient to increase the lifetime of nodes and packet delivery ratio. This technique will increase the number of live nodes, reduce message costs, and enhance network throughput. All geocast protocols in the literature of WSN apply mostly restricted flooding and perimeter flooding, which is why still the redundancy they produce significantly high message transmission costs and unnecessarily eats up immense energy of the nodes. Moreover, perimeter flooding cannot succeed in the presence of holes. The present article models WSN with software‐defined (SD) constructs where the network area is divided into some zones. Energy‐efficient transmission tree(s) are constructed in the geocast area to organize the flow of data packets and their links. Therefore, redundancy in the transmission is eliminated while maintaining network throughput as good as regular flooding. Besides, this study introduces a fuzzy controllers named SELECT‐STARTER and GEOCAST‐PROPAGATOR for intellgent energy tansmission control‐making. The proposed technique significantly reduces energy cost and improves nodes' lifetime to function for higher time duration and produce a higher data packet delivery ratio. To the best of the author's knowledge, this is the first work on geocast in SD‐WSNs.

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“…Faheem et al 25 have suggested a new method to deal with the power quality and reliability problems for the supplier of service and consumers. The major objectives of the smart grid in smart cities were protecting the standard of living few numbers of residents and support the full spectrum of its economic processes.…”

Section: Introductionmentioning

confidence: 99%

IoT based energy management in smart energy system: A hybrid SO²SA technique

Muthubalaji

Srinivasan

Lakshmanan

2021

Int J Numerical Modelling

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In this manuscript, an energy management system (EMS) is proposed to the distribution system (DS) using Internet of Things (IoT) framework with a hybrid system. The proposed hybrid method is the combination of the Seagull Optimization Algorithm (SOA) and Owl Search Algorithm (OSA), hence it is called SO2SA technique. The principle objective of the SO2SA technique is to optimize managing distribution system power and resources through continuous monitoring of the data from a communication framework based on IoT. In SO2SA technique, every home device is connected to the module of data acquisition, which indicates an IoT object along with a unique IP address as a result of huge mesh wireless network devices. The sending data are processed through SO2SA technique. Similarly, the IoT architecture of the distribution system enhances the flexibility of these networks and gives optimal utilization of obtainable resources. In addition, the SO2SA technique is responsible for meeting the overall power and supply requirements. The proposed method is implemented in MATLAB/Simulink site and the efficiency is likened to the other different methods. In 50 trail numbers, the RMSE, MAPE, and MBE range of SO2SA technique represents 5.63, 0.90, and 1.035. Thus, the proposed technique is highly competent over all the existing approaches.

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Energy efficient and reliable data gathering using internet of software-defined mobile sinks for WSNs-based smart grid applications

Cited by 60 publications

References 28 publications

Energy Efficient Design Techniques in Next-Generation Wireless Communication Networks: Emerging Trends and Future Directions

Energy Efficient Design Techniques in Next-Generation Wireless Communication Networks: Emerging Trends and Future Directions

Minimum energy transmission forest‐based geocast insoftware‐definedwireless sensor networks

IoT based energy management in smart energy system: A hybrid SO²SA technique

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Energy efficient and reliable data gathering using internet of software-defined mobile sinks for WSNs-based smart grid applications

Cited by 60 publications

References 28 publications

Energy Efficient Design Techniques in Next-Generation Wireless Communication Networks: Emerging Trends and Future Directions

Energy Efficient Design Techniques in Next-Generation Wireless Communication Networks: Emerging Trends and Future Directions

Minimum energy transmission forest‐based geocast insoftware‐definedwireless sensor networks

IoT based energy management in smart energy system: A hybrid SO2SA technique

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IoT based energy management in smart energy system: A hybrid SO²SA technique