A Reliable and Secure Smart Grid Communication Network Using a Comprehensive Cost Function

Kouhdaragh, Vahid

doi:10.17265/1934-8975/2017.02.006

Cited by 3 publications

(9 citation statements)

References 15 publications

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“…With the aim of designing a reliable and secure heterogeneous network, load balancing methods have been introduced [10]. Round-robin method, which distributes the traffic evenly among all the available base stations, regardless of existing load and performance, is proposed in [11].…”

Section: Literature Reviewmentioning

confidence: 99%

“…The delay requirement of the node is considered as a sufficient value for the target MMPR and RAT latency and is D ij . MMPR depends also on the packet loss probability, P lij , that is usually considered equal to 0.01 in the literature [10,28]. Hence, the MMPR between the SG node type i and the RAT j can be defined as.…”

Section: Kpismentioning

confidence: 99%

“…The SG node security requirements exist in the literature and are evaluated by these terms: high, very high, and medium. The reliability weight numeric values proportional to the quality scale of security are given as [10].…”

Section: Kpismentioning

confidence: 99%

“…To define the normalized value for each different type of nodes in the SG supported by different communication technologies, some RAT characteristics should be considered [10]. The main parts are the response time (RST), encryption policy (ENP), and RATs communication standards complexity (COMC).…”

Section: Kpismentioning

confidence: 99%

“…Furthermore, the communication requirements of different SG node types (i.e., data rate, delay sensitivity, reliability, and security) are explained [8]. Although there is no unique solution for elaborating a certain RAT for SG, the SG node communication requirements give a high-level vision to SG communication network designer in order to design the optimized RAT [9].With the aim of designing a reliable and secure heterogeneous network, load balancing methods have been introduced [10]. Round-robin method, which distributes the traffic evenly among all the available base stations, regardless of existing load and performance, is proposed in [11].…”

mentioning

confidence: 99%

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Density-Aware Smart Grid Node Allocation in Heterogeneous Radio Access Technology Environments

Kouhdaragh¹,

Tarchi²,

Vanelli‐Coralli³

2019

Advanced Communication and Control Methods for Future Smartgrids

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Smart grid (SG) is an intelligent enhancement of the conventional energy grid allowing a smarter management. In order to be implemented, SG needs to rely on a communication network connecting different node types, implementing the SG services, with different communication and energy requirements. Heterogeneous network (Het-Net) solutions are very attractive, gaining from the allocation of different radio access technologies (RATs) to the different SG node types; however, due to the heterogeneity of the system, an efficient radio resource optimization and energy management are a complex task. Through the exploitation of the most significant key performance indicators (KPIs) of the SG node types and the key features of the RATs, a joint communication and energy cost function are here defined. Through this approach it is possible to optimally assign the nodes to the RATs while respecting their requirements. In particular, we show the effect of different nodes' density scenarios on the proposed allocation algorithm.Keywords: smart grid, wireless communications, heterogeneous networks, heuristic optimization function (CCF) is defined based on some KPIs as a function of node types and densities and RAT characteristics. At the same time, low-power communication is the key for the realization of reduced form factor SG nodes; to this aim a suitable energy cost function (ECF) is also defined for minimizing energy per transferred data bit. A novel approach to assign the node to different RATs based on jointly exploiting the CCF and the ECF is here proposed resulting in a heterogeneous network that is efficient in both energy and communication aspects. Cost function (CF), based on node communication requirements, node type densities, and RAT features, defines the percentage of each node type which should be allocated to each RAT. The numerical results show the advantage of the proposed node allocation approach to different RATs with respect to the separate CFs. Moreover, a variable number of nodes are considered for understanding the impact of the nodes' density in terms of allocation efficiency. Literature reviewIn the literature there are several papers dealing with SGCN, the node type communication requirements, and RAT selection. The summary of some of the most important papers is given in this section. In [1] a complete research on advanced metering infrastructure (AMI) exploring how to link consumer data gathered by utilities and managing insufficient communication network resources is considered. As an outcome of [1], it is clear that several data relay nodes and aggregators are needed to collect data produced by smart meters (SMs). Moreover, the SM message gathering problem is considered, and a method to collect multiple SM information incoming at the data collector nodes in order to reduce protocol overhead is considered. In [2] the capacity of a backhaul network to support the distribution grid in SG is considered. Several communication technologies are taken into consideration for coping with the SG communication ...

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Section: Literature Reviewmentioning

confidence: 99%

Section: Kpismentioning

confidence: 99%

Section: Kpismentioning

confidence: 99%

Section: Kpismentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

Density-Aware Smart Grid Node Allocation in Heterogeneous Radio Access Technology Environments

Kouhdaragh¹,

Tarchi²,

Vanelli‐Coralli³

2019

Advanced Communication and Control Methods for Future Smartgrids

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Development of an Assessment Tool to Review Communication Technologies for Smart Grid in India

Bhatt

Jani²,

Harish

2021

Springer Proceedings in Energy

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Smart grid load balancing methods to make an efficient heterogeneous network by using the communication cost function

2018

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Different node types in smart grid (SG) system have different communication necessities. Different type of information such as power grid status and demand requests and responses are established between control station (CS) and different SG node types. Assigning the certain percentage of the nodes traffic to the radio access technologies (RATs) with respect to their cost functions (CFs) value can help to achieve this goal by defining the highest fitness degree between SG node type communication requirements and RATs communication characteristics to have an efficient load balance. In this study, the key performance indicators (KPIs) for CFs are the SG node communication requirements which are defined as data rate, delay, reliability, and security. The value of the work can be seen in node assigning method based on the CFs as a function of different RAT communication characteristics and node type communication requirements. The highest fitness degree between node communication needs and RAT characteristics are achieved in an efficient way which causes to make an efficient heterogeneous network. The work impact of using a certain RAT which has the best efficiency in sense of communication aspects by using a well-defined CF is the innovation of this study as well.

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A Reliable and Secure Smart Grid Communication Network Using a Comprehensive Cost Function

Cited by 3 publications

References 15 publications

Density-Aware Smart Grid Node Allocation in Heterogeneous Radio Access Technology Environments

Density-Aware Smart Grid Node Allocation in Heterogeneous Radio Access Technology Environments

Development of an Assessment Tool to Review Communication Technologies for Smart Grid in India

Smart grid load balancing methods to make an efficient heterogeneous network by using the communication cost function

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