Wireless Sensor Network Based Smart Grid Communications: Challenges, Protocol Optimizations, and Validation Platforms

Rekik, Sana; Baccour, Nouha; Jmaïel, Mohamed; Drira, Khalil

doi:10.1007/s11277-017-4038-1

Cited by 36 publications

(26 citation statements)

References 67 publications

(139 reference statements)

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“…It does not deliver multipath routing [43]. Distributed Bellman-Ford algorithm is used for the employment of DSDV protocol [44].WSN supports multipath routing using dynamic topology [45].WSN performance is based on selection of sensor nodes. Nodes should be strong.…”

Section: Opnet Modelermentioning

confidence: 99%

Secure Routing through Refining Reliability for WSN against DoS Attacks using AODSD2V2 Algorithm for AMI

Halle¹,

S.²

2019

IJITEE

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Secure and reliable routing expands the performance of wireless communication infrastructure of the Advanced Metering Infrastructure (AMI).This paper tries to deliver reliable routing using combination of AODV(Reactive type protocol) and DSDV(proactive type protocol) protocol considering WSN. Different kinds of Attack annoys the enactment of communication infrastructure of AMI. This paper defends communication infrastructure from DoS (Denial of service) attack. The main aim of this paper try to provide reliable routing with security. Communication infrastructure is a key element of AMI. Providing reliability and security for communication infrastructure we can improve the performance of AMI. Due to this electricity sector can save millions of dollars and we provide social awareness about importance of electricity security or Smart Grid. This paper calculates the security in terms of delay, energy consumption, throughput, PDR (Packet Delivery Ratio) and overhead. By considering these parameters we will calculate Confidentiality, Integrity, Availability and Accountability (non- repudiation). Wireless Sensor Network (WSN) considered for wireless communication infrastructure for the AMI. Sensor nodes are battered for attack. Intended for AODSD2V2 (Ad Hoc on Demand Destination Sequenced Distance Vector Routing Protocol) protects the data packets from malicious nodes and DoS attack. For the WSN network infrastructure two kinds of topologies are considered 1. Random deployment strategy 2. Grid deployment. Network Simulator2 (NS2) delivers comparatively simulation results intended for the calculation of reliability and security.

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Section: Opnet Modelermentioning

confidence: 99%

Secure Routing through Refining Reliability for WSN against DoS Attacks using AODSD2V2 Algorithm for AMI

Halle¹,

S.²

2019

IJITEE

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“…Unfortunately, centralized scheduling algorithms are not suitable for TSCH networks deployed in smart grid: first, they can present scalability issues, which is one of the requirements of WSN-based smart grid applications [21]. Second, in electric grid environments, typically characterized by highly corrosive conditions, routing topology and physical connectivity are highly dynamic and often unpredictable [21]. Consequently, any change in the network state should be communicated to the central entity to re-compute and redistribute new schedules, resulting in considerable signaling overhead.…”

Section: Orchestra Schedulementioning

confidence: 99%

Autonomous and traffic-aware scheduling for TSCH networks

et al. 2018

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Abstract-Wireless Sensor Networks (WSNs) have been recognized as a promising communication technology for smart grid monitoring and control applications. However, the deployment of WSNs in smart grid brought new challenges that pertain to the harsh electrical grid nature, and the different and often contradicting communication requirements of smart grid monitoring applications. MAC protocols play a crucial role to meet the reliability and latency requirements of WSN-based smart grid communications. In particular, the IEEE 802.15.4 TSCH (Time Slotted Channel Hopping), the latest generation of low-power and highly reliable MAC protocols, orchestrates the medium access according to a time-frequency communication schedule. However, TSCH specification does not provide any practical solution for the establishment of the schedule. Orchestra is a recent scheduling solution for TSCH that brings significant advantages such as, the use of simple scheduling rules, the low signaling overhead, and the high delivery ratio. Despite its unique features, Orchestra has the limitation of computing the TSCH schedule at each node independently from its traffic load, which can drastically affect the communication delay. This limitation makes Orchestra not sufficiently convenient for several delaysensitive smart grid applications. Further, the current TSCH specification does not support traffic differentiation (i.e. handle all packets equally regardless of their criticality levels). In this paper, we propose an enhanced Orchestra-based TSCH protocol, called e-TSCH-Orch, that dynamically adjusts time slots assignment according to traffic load and criticality level. The performance analysis of e-TSCH-Orch shows that it significantly reduces the communication delay compared to the original Orchestra-based TSCH, while preserving the low signaling overhead and the high packet delivery ratio.

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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%

“…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 Constraints resources: Constraints resources such as limited memory, limited energy of the battery, and high energy consumption due to CR spectrum sensing activity are major predicaments in CRSN communications in an SG .…”

Section: Introductionmentioning

confidence: 99%

“…Harsh propagation conditions in the SG environment: Varying network topologies and harmonics from power lines including obstructions hinder efficient communication signals in SG Constraints resources: Constraints resources such as limited memory, limited energy of the battery, and high energy consumption due to CR spectrum sensing activity are major predicaments in CRSN communications in an SG . Hence, adequate energy efficiency is essential in addressing the limited energy issue. Communication protocol: A CRSN protocol is unique due to the dynamic multiple channel access.…”

Section: Introductionmentioning

confidence: 99%

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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: Challenges, Protocol Optimizations, and Validation Platforms

Cited by 36 publications

References 67 publications

Secure Routing through Refining Reliability for WSN against DoS Attacks using AODSD2V2 Algorithm for AMI

Secure Routing through Refining Reliability for WSN against DoS Attacks using AODSD2V2 Algorithm for AMI

Autonomous and traffic-aware scheduling for TSCH networks

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

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