Joint Optimization of Resources and Routes for Minimum Resistance: From Communication Networks to Power Grids

Wireless Sensor Networks (WSNs) have the characteristics of large-scale deployment, flexible networking, and many applications. They are important parts of wireless communication networks. However, due to limited energy supply, the development of WSNs is greatly restricted. Wireless rechargeable sensor networks (WRSNs) transform the distributed energy around the environment into usable electricity through energy collection technology. In this work, a two-phase scheme is proposed to improve the energy management efficiency for WRSNs. In the first phase, we designed an annulus virtual force based particle swarm optimization (AVFPSO) algorithm for area coverage. It adopts the multi-parameter joint optimization method to improve the efficiency of the algorithm. In the second phase, a queuing game-based energy supply (QGES) algorithm was designed. It converts energy supply and consumption into network service. By solving the game equilibrium of the model, the optimal energy distribution strategy can be obtained. The simulation results show that our scheme improves the efficiency of coverage and energy supply, and then extends the lifetime of WSN.

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Authentication of Smart Grid

Cryptography ◽

10.4018/978-1-7998-1763-5.ch015 ◽

2020 ◽

pp. 257-276

Author(s):

Melesio Calderón Muñoz ◽

Melody Moh

Keyword(s):

Smart Grid ◽

Communication Networks ◽

Smart Grids ◽

Mesh Networks ◽

Quantum Computer ◽

Electrical Power ◽

Public Key Cryptography ◽

Power Grids ◽

Public Key ◽

Self Healing

The electrical power grid forms the functional foundation of our modern societies, but in the near future our aging electrical infrastructure will not be able to keep pace with our demands. As a result, nations worldwide have started to convert their power grids into smart grids that will have improved communication and control systems. A smart grid will be better able to incorporate new forms of energy generation as well as be self-healing and more reliable. This paper investigates a threat to wireless communication networks from a fully realized quantum computer, and provides a means to avoid this problem in smart grid domains. We discuss and compare the security aspects, the complexities and the performance of authentication using public-key cryptography and using Merkel trees. As a result, we argue for the use of Merkle trees as opposed to public key encryption for authentication of devices in wireless mesh networks (WMN) used in smart grid applications.

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Design of multi-energy joint optimization dispatching system for regional power grids based on B/S architecture

Energy Procedia ◽

10.1016/j.egypro.2019.01.464 ◽

2019 ◽

Vol 158 ◽

pp. 6236-6241

Author(s):

Zhipeng Ma ◽

Sen Wang ◽

Jianjian Shen ◽

Shanzong Li ◽

Yunyun Shi

Keyword(s):

Power Grids ◽

Joint Optimization ◽

Regional Power

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Joint Optimization QoS and Security of Wireless Communication Networks

Proceedings of the 2019 7th International Conference on Information Technology: IoT and Smart City ◽

10.1145/3377170.3377230 ◽

2019 ◽

Author(s):

Xiaochun Su ◽

Yanheng Liu ◽

Jian Wan

Keyword(s):

Wireless Communication ◽

Communication Networks ◽

Joint Optimization ◽

Wireless Communication Networks

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Communication Technologies for Smart Grid: A Comprehensive Survey

Sensors ◽

10.3390/s21238087 ◽

2021 ◽

Vol 21 (23) ◽

pp. 8087

Author(s):

Fredrik Ege Abrahamsen ◽

Yun Ai ◽

Michael Cheffena

Keyword(s):

Smart Grid ◽

Power Systems ◽

Communication Networks ◽

High Speed ◽

Essential Feature ◽

Data Communication ◽

Communication Technologies ◽

Electric Power System ◽

Power Grids ◽

Comprehensive Survey

With the ongoing trends in the energy sector such as vehicular electrification and renewable energy, the Smart Grid (SG) is clearly playing a more and more important role in the electric power system industry. One essential feature of the SG is the information flow over high-speed, reliable, and secure data communication networks in order to manage the complex power systems effectively and intelligently. SGs utilize bidirectional communication to function whereas traditional power grids mainly only use one-way communication. The communication requirements and suitable techniques differ depending on the specific environment and scenario. In this paper, we provide a comprehensive and up-to-date survey on the communication technologies used in the SG, including the communication requirements, physical layer technologies, network architectures, and research challenges. This survey aims to help the readers identify the potential research problems in the continued research on the topic of SG communications.

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Bifurcation in Transmission Networks Under Variation of Link Capacity

International Journal of Bifurcation and Chaos ◽

10.1142/s0218127418500931 ◽

2018 ◽

Vol 28 (07) ◽

pp. 1850093 ◽

Cited By ~ 3

Author(s):

Jiajing Wu ◽

Xi Zhang ◽

Shicong Ma ◽

Zhihai Rong ◽

Chi K. Tse

Keyword(s):

Dynamical Systems ◽

Communication Networks ◽

Network Topology ◽

Behavioral Change ◽

Power Grids ◽

Transmission Networks ◽

Research Attention ◽

Link Capacity ◽

The Impact ◽

Crucial Parameter

Much research attention has been devoted to the investigation of how the structure of a network affects its intended performance. However, conclusions drawn from the previous studies are often inconsistent and even contradictory. In order to identify the causes of these diverse results and to explore the impact of network topology on performance, we apply the concept of bifurcation in dynamical systems and consider the effect of varying a crucial parameter for networks of different structures. In this paper, we study transmission networks and identify the capacity setting as the parameter. Upon varying this parameter, the behavioral change of the network is observed. Specifically, we focus on communication networks and power grids, and study the improvement or degradation of robustness of such networks under variation of link capacity. We observe that the effect of increasing link capacity on robustness differs for different networks, and a bifurcation point exists in some cases which divides regions of opposite robustness behavior. Our work demonstrates that capacity settings play a crucially important role in determining how network structure affects the intended performance of transmission networks, and clarifies the previous reported contradictory results.

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