Cross Layer Optimization and Simulation of Smart Grid Home Area Network
An electrical “Grid” is a network that carries electricity from power plants to customer premises. Smart Grid is an assimilation of electrical and communication infrastructure. Smart Grid is characterized by bidirectional flow of electricity and information. Smart Grid is a complex network with hier...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Modelling and Simulation in Engineering |
| Online Access: | http://dx.doi.org/10.1155/2018/3561739 |
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| author | Lipi K. Chhaya Paawan Sharma Adesh Kumar Govind Bhagwatikar |
| author_facet | Lipi K. Chhaya Paawan Sharma Adesh Kumar Govind Bhagwatikar |
| author_sort | Lipi K. Chhaya |
| collection | DOAJ |
| description | An electrical “Grid” is a network that carries electricity from power plants to customer premises. Smart Grid is an assimilation of electrical and communication infrastructure. Smart Grid is characterized by bidirectional flow of electricity and information. Smart Grid is a complex network with hierarchical architecture. Realization of complete Smart Grid architecture necessitates diverse set of communication standards and protocols. Communication network protocols are engineered and established on the basis of layered approach. Each layer is designed to produce an explicit functionality in association with other layers. Layered approach can be modified with cross layer approach for performance enhancement. Complex and heterogeneous architecture of Smart Grid demands a deviation from primitive approach and reworking of an innovative approach. This paper describes a joint or cross layer optimization of Smart Grid home/building area network based on IEEE 802.11 standard using RIVERBED OPNET network design and simulation tool. The network performance can be improved by selecting various parameters pertaining to different layers. Simulation results are obtained for various parameters such as WLAN throughput, delay, media access delay, and retransmission attempts. The graphical results show that various parameters have divergent effects on network performance. For example, frame aggregation decreases overall delay but the network throughput is also reduced. To prevail over this effect, frame aggregation is used in combination with RTS and fragmentation mechanisms. The results show that this combination notably improves network performance. Higher value of buffer size considerably increases throughput but the delay is also greater and thus the choice of optimum value of buffer size is inevitable for network performance optimization. Parameter optimization significantly enhances the performance of a designed network. This paper is expected to serve as a comprehensive analysis and performance enhancement of communication standard suitable for Smart Grid HAN applications. |
| format | Article |
| id | doaj-art-0705d879d9fa4663813cf4239814a8f3 |
| institution | Kabale University |
| issn | 1687-5591 1687-5605 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Modelling and Simulation in Engineering |
| spelling | doaj-art-0705d879d9fa4663813cf4239814a8f32025-02-03T05:46:54ZengWileyModelling and Simulation in Engineering1687-55911687-56052018-01-01201810.1155/2018/35617393561739Cross Layer Optimization and Simulation of Smart Grid Home Area NetworkLipi K. Chhaya0Paawan Sharma1Adesh Kumar2Govind Bhagwatikar3Department of Instrumentation and Electronics Engineering, University of Petroleum and Energy Studies, Dehradun, IndiaDepartment of Instrumentation and Electronics Engineering, University of Petroleum and Energy Studies, Dehradun, IndiaDepartment of Instrumentation and Electronics Engineering, University of Petroleum and Energy Studies, Dehradun, IndiaSANY Group, Pune, IndiaAn electrical “Grid” is a network that carries electricity from power plants to customer premises. Smart Grid is an assimilation of electrical and communication infrastructure. Smart Grid is characterized by bidirectional flow of electricity and information. Smart Grid is a complex network with hierarchical architecture. Realization of complete Smart Grid architecture necessitates diverse set of communication standards and protocols. Communication network protocols are engineered and established on the basis of layered approach. Each layer is designed to produce an explicit functionality in association with other layers. Layered approach can be modified with cross layer approach for performance enhancement. Complex and heterogeneous architecture of Smart Grid demands a deviation from primitive approach and reworking of an innovative approach. This paper describes a joint or cross layer optimization of Smart Grid home/building area network based on IEEE 802.11 standard using RIVERBED OPNET network design and simulation tool. The network performance can be improved by selecting various parameters pertaining to different layers. Simulation results are obtained for various parameters such as WLAN throughput, delay, media access delay, and retransmission attempts. The graphical results show that various parameters have divergent effects on network performance. For example, frame aggregation decreases overall delay but the network throughput is also reduced. To prevail over this effect, frame aggregation is used in combination with RTS and fragmentation mechanisms. The results show that this combination notably improves network performance. Higher value of buffer size considerably increases throughput but the delay is also greater and thus the choice of optimum value of buffer size is inevitable for network performance optimization. Parameter optimization significantly enhances the performance of a designed network. This paper is expected to serve as a comprehensive analysis and performance enhancement of communication standard suitable for Smart Grid HAN applications.http://dx.doi.org/10.1155/2018/3561739 |
| spellingShingle | Lipi K. Chhaya Paawan Sharma Adesh Kumar Govind Bhagwatikar Cross Layer Optimization and Simulation of Smart Grid Home Area Network Modelling and Simulation in Engineering |
| title | Cross Layer Optimization and Simulation of Smart Grid Home Area Network |
| title_full | Cross Layer Optimization and Simulation of Smart Grid Home Area Network |
| title_fullStr | Cross Layer Optimization and Simulation of Smart Grid Home Area Network |
| title_full_unstemmed | Cross Layer Optimization and Simulation of Smart Grid Home Area Network |
| title_short | Cross Layer Optimization and Simulation of Smart Grid Home Area Network |
| title_sort | cross layer optimization and simulation of smart grid home area network |
| url | http://dx.doi.org/10.1155/2018/3561739 |
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