Wireless Sensor Network Based Smart Grid Communications: Cyber Attacks, Intrusion Detection System and Topology Control

Chhaya, Lipi; Sharma, Paawan; Bhagwatikar, Govind; Kumar, Adesh

doi:10.3390/electronics6010005

Cited by 97 publications

(49 citation statements)

References 88 publications

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“…WSN facilitates both sensing and communication requirements. Small sensor nodes collectively form a sensor network which is used for the remote wireless communication [19].…”

Section: Id:p0255mentioning

confidence: 99%

The Control of Greenhouses Based on Fuzzy Logic Using Wireless Sensor Networks

Alpay¹,

Erdem²

2019

IJCIS

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Wireless sensor network Fuzzy logic Internet of things Smart greenhouse Greenhouse climate control A B S T R A C T ID:p0060Greenhouses cannot be easily controlled because their climate parameters are interrelated. This study contributes to increasing the quality and yield of greenhouses by saving time, energy, light and water consumption via measuring and controlling the climate parameters that are effective in forming climate factors in greenhouses. The greenhouse climate variables including temperature, relative humidity, soil moisture and light intensity were measured by a realistic sensor application. In this way, several sensor nodes, that belong to the nodal packages were distributed to a wireless sensor network (WSN) constructed in a star topology. In addition, the data obtained from the nodes, have been controlled and monitored with the fuzzy logic-based control strategy proposed as a developing, smart and remotely accessible Android-based interface. The proposed method has been analyzed, and its performances have been evaluated in terms of the benefits of both the user and the greenhouse.

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“…WSN facilitates both sensing and communication requirements. Small sensor nodes collectively form a sensor network which is used for the remote wireless communication [19].…”

Section: Id:p0255mentioning

confidence: 99%

The Control of Greenhouses Based on Fuzzy Logic Using Wireless Sensor Networks

Alpay¹,

Erdem²

2019

IJCIS

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“…In the last few years, technological progress in the wireless communication, energy consumption, and chip miniaturization have facilitated the growth and the deployment of original applications based on Wireless Sensor Networks (WSNs) [1][2][3][4][5]. Several works have been published in the research fields related to WSNs, and many architectures [6][7][8] and protocols [9][10][11] have been produced.…”

Section: Introductionmentioning

confidence: 99%

Wireless Sensor Networks for Smart Homes: A Fuzzy-Based Solution for an Energy-Effective Duty Cycle

Pau

Salerno

2019

Electronics

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This paper introduces a fuzzy-based method that, according to the ratio of Throughput to Workload and the battery level, manages the sleeping time of devices in Wireless Sensor Networks (WSNs) for smart homes. The purpose of this work is a system that can be executed on off-the-shelf hardware and offers enhanced performance confronted with other approaches. The challenge here is to achieve a practical method that reaches the target while bypassing complex and computationally expensive solutions, which would diminish the possible applicability of the method in real scenarios. The retrieved results prove that the proposed approach outperforms other solutions, significantly prolonging the life of battery-powered wireless devices with also satisfactory values of the ratio Throughput to Workload. Besides, a proof-of-concept implementation on off-the-shelf devices confirms that the proposed method does not expect powerful hardware and can be surely implemented on a low-cost device.

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“…This is because a particular SG application has specific Quality of Service (QoS) requirements that are different from other SG applications. These essential requirements include latency, link reliability, and throughput. Design challenges: Other major problems are design challenges that involve scalability for additional smart devices/technologies, cybersecurity for mitigating vulnerability in SG, and interoperability for communication of different networks and standardization of protocols Harsh propagation conditions in the SG environment: Varying network topologies and harmonics from power lines including obstructions hinder efficient communication signals in SG …”

Section: Introductionmentioning

confidence: 99%

Performance measurements of communication access technologies and improved cognitive radio model for smart grid communication

Ogbodo

Dorrell

Abu‐Mahfouz

2019

Trans Emerging Tel Tech

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Traditional power grids have unidirectional power flow and often information transfer, this limits their capacity for scalability, efficiency, and renewable energy integration. Smart grids (SGs) are being developed as more intelligent power grids with bidirectional power flow and information interchange. A reliable communication network is required in order to realize some important SG features, such as renewable energy integration, distributed energy resources, scalability, self‐healing and efficient holistic monitoring, and control capability. However, this communication network needs to comply with critical requirements. Cognitive radio (CR) has been projected as a possible solution to common problems in conventional wireless systems such as spectrum scarcity and interference. The CR accesses a greater range of spectra via dynamic spectrum access capability. This paper focuses on the evaluation of communication access technologies performance measurements and improved CR model for SG communications. This paper employs the National Institute of Standard framework for SG interoperability, the low power wide area network (LPWAN), multihoming, and a CR device such as TV white space band devices (TVBDs). The results from simulation analysis show that the performance of TVBDs outperforms the legacy Wi‐Fi in terms of latency; also, LPWA devices, such as LTE Cat1/LTE‐M devices, outperform the legacy cellular, such as CDMA 1x‐EVDO, in terms of latency and throughput. In addition, the improved CR model, which involves a proposed channel fragmentation strategy–based Alamouti scheme, outperforms legacy CR in terms of blocking probability and throughput in the harsh SG environment.

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Wireless Sensor Network Based Smart Grid Communications: Cyber Attacks, Intrusion Detection System and Topology Control

Cited by 97 publications

References 88 publications

The Control of Greenhouses Based on Fuzzy Logic Using Wireless Sensor Networks

The Control of Greenhouses Based on Fuzzy Logic Using Wireless Sensor Networks

Wireless Sensor Networks for Smart Homes: A Fuzzy-Based Solution for an Energy-Effective Duty Cycle

Performance measurements of communication access technologies and improved cognitive radio model for smart grid communication

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