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

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

doi:10.20944/preprints201610.0092.v2

Cited by 5 publications

(10 citation statements)

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“…Therefore, interference avoidance and detection schemes must be designed, as well as energy efficient routing protocols in order to provide reliable performance and to maximize the network lifetime. f) WirelessHART: WirelessHART is an extension of the HART (Highway Addressable Remote Transducer) protocol that is a hardwire control protocol designed for industrial automation [208], [209]. HART is a global standard that is widely installed.…”

Section: ) Wireless Technologiesmentioning

confidence: 99%

“…It is a low power communication protocol that is based on IEEE 802. 15.4 and operates on 2.4GHz band [208], [210]. It has a range of 200m, offers 115 Kbps data rate [211] and it uses 128-bit AES encryption for security [208].…”

Section: ) Wireless Technologiesmentioning

confidence: 99%

“…Advantages: WirelessHART is backward compatible, e.g., systems operating on wired protocol can be connected to WirelessHART network using simple adapters by offering the least resistance path while updating to the wireless medium [209]. It overcomes the limitations of ZigBee, such as reliability, robustness, message delivery [208]. Lennvall et al [215] have made a comparison of ZigBee and WirelessHART for industrial applications and discussed how WirelessHART can outperform ZigBee.…”

Section: ) Wireless Technologiesmentioning

confidence: 99%

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Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

et al. 2019

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Traditional power grids are being transformed into Smart Grids (SGs) to address the issues in existing power system due to uni-directional information flow, energy wastage, growing energy demand, reliability and security. SGs offer bi-directional energy flow between service providers and consumers, involving power generation, transmission, distribution and utilization systems. SGs employ various devices for the monitoring, analysis and control of the grid, deployed at power plants, distribution centers and in consumers' premises in a very large number. Hence, an SG requires connectivity, automation and the tracking of such devices. This is achieved with the help of Internet of Things (IoT). IoT helps SG systems to support various network functions throughout the generation, transmission, distribution and consumption of energy by incorporating IoT devices (such as sensors, actuators and smart meters), as well as by providing the connectivity, automation and tracking for such devices. In this paper, we provide a comprehensive survey on IoTaided SG systems, which includes the existing architectures, applications and prototypes of IoT-aided SG systems. This survey also highlights the open issues, challenges and future research directions for IoT-aided SG systems. energy in accordance with the needs of the consumers within the constraints of power systems. Nearly, all the generation, transmission and distribution of electrical energy is owned by the utility companies who provide electrical energy to consumers and bill them accordingly to recover their costs and earn profit.The traditional power grid worked very well from its inception in 1870 until 1970 [1]. Even though the consumers' demand for energy grew exponentially, it was still rather predictable. However, there has been a dramatic change in the nature of electrical energy consumption since 1970, as the load of electronic devices has become the fastest growing element of the total electricity demand and new sources of high electricity consumption have been developed, such as Electric Vehicles (EVs). The power grids endure a significant wastage of energy due to a number of factors, such as consumers' inefficient appliances and lack of smart technology, inefficient routing and dispensation of electrical energy, unreliable communication and monitoring, and most importantly, lack of a mechanism to store the generated electrical energy [2]- [4]. Furthermore, power grids face some other challenges as well, including growing energy demand, reliability, security, emerging renewable energy sources and aging infrastructure problems to name a few.In order to solve these challenges, the Smart Grid (SG) paradigm has appeared as a promising solution with a variety of information and communication technologies. Such technologies can improve the effectiveness, efficiency, reliability, security, sustainability, stability and scalability of the traditional power grid [5]. SG differs from traditional power grids in many aspects. For instance, SG offers a bi-directional communicat...

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Section: ) Wireless Technologiesmentioning

confidence: 99%

Section: ) Wireless Technologiesmentioning

confidence: 99%

Section: ) Wireless Technologiesmentioning

confidence: 99%

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Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

et al. 2019

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“…Integrity refers to messages being received unaffected at the intention. Authorization denotes that only sensor nodes that are authorized can contact and illegal data sharing should be restricted (Chhaya et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Glowworm Swarm Optimization for Enhancing the Lifespan of Wireless Sensor Networks

Raja

Ayyasamy

2021

Preprint

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The special features of smart grid technology includes regular metering communication, renewable power incorporation, allotment computerization and whole scrutinizing and organization of complete power grid. Little micro-electrical automatic schemes that are deployed in collecting and broadcasting data from ambience are Wireless Sensor Networks (WSNs). Providing security and energy consumptions are the most emerging issues in Wireless sensor network communication. To enhance the lifespan of a network, energy efficiency should be increased by decreasing energy consumption of the sensor nodes, thus striking a balance in the power consumption of each node. As the primary source of origin of energy consumption of sensor nodes is long distance transmission of data, good impact on energy consumption can be provided through an efficient routing protocol. So as to enhance the lifespan of a network, a number of protocols have been put forth in the form of optimization algorithms. This study involves Glowworm Swarm Optimization (GSO). In GSO, a probabilistic cost is computed by every glowworm in spite of finding its neighboring glowworm that has the enhanced luciferin intensity than others. Based on this probability cost, a glow worm moves towards the chosen glowworm. To enhance GSO performance, the GSO hybrid optimized with Harmony Search (HS) and Tabu Search (TS) local methods are also proposed. Results prove that proposed method achieves better performance.

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“…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, 20 cybersecurity for mitigating vulnerability in SG, 21,22 and interoperability for communication of different networks and standardization of protocols. 20 • 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 5 publications

References 43 publications

Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions

A Hybrid Glowworm Swarm Optimization for Enhancing the Lifespan of Wireless Sensor Networks

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

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