6G systems, such as Large Intelligent Surfaces, will require distributed, complex, and coordinated decisions throughout a very heterogeneous and cell free infrastructure. This will require a fundamentally redesigned s...
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ISBN:
(纸本)9781665467636
6G systems, such as Large Intelligent Surfaces, will require distributed, complex, and coordinated decisions throughout a very heterogeneous and cell free infrastructure. This will require a fundamentally redesigned software infrastructure accompanied by massively distributed and heterogeneous computing resources, vastly different from current wireless networks. To address these challenges, in this paper, we propose and motivate the concept of a 6G computing Continuum (6GCC) and two research testbeds, to advance the rate and quality of research. 6G computing Continuum is an end-to-end compute and software platform for realizing large intelligent surfaces and its tenant users and applications. One for addressing the challenges or orchestrating shared computational resources in the wireless domain, implemented on a Large Intelligent Surfaces testbed. Another simulation-based testbed is intended to address scalability and global-scale orchestration challenges.
Securing Internet of Things (IoT) networks is critical due to their increasing prevalence and susceptibility to cyberattacks. Machine Learning (ML) and Deep Learning (DL)powered Intrusion Detection systems (IDS) provi...
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To address the impact of communication delay, which occurring the participation of wide-area multiple energy storages in power system frequency regulation, this paper designs a delay compensation distributed model pre...
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It has created challenges in the processing of data and analysis, which need to go beyond the traditional centralized architecture to solve the current data volume, speed, and types. To address these challenges, fault...
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Microgrids are self-sustaining systems that are small in size. They have become more popular in recent years, especially with the addition of renewable energy sources. Due to the degree of unpredictability this penetr...
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Technological evolutions in intelligent transportation have enabled smart and connected vehicles to support novel safety and infotainment services. The provision of such services is guaranteed with effective sharing a...
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ISBN:
(纸本)9781665495127
Technological evolutions in intelligent transportation have enabled smart and connected vehicles to support novel safety and infotainment services. The provision of such services is guaranteed with effective sharing and allocation of resources for task offloading and processing. The use of vehicular fogs also helps this process by lowering the latency in communications and the resource share among the fog members. However, allocation in Fogs introduces challenges related to the intermittency of Fog vehicle nodes, clustering, topology changes, and resource allocation problems. The use of metaheuristic algorithms has been explored in several works to solve these optimization problems, such as resource allocation, clustering, task allocation, and network communications, especially regarding efficiency. We thus propose a bat bio-inspired decision-making algorithm for task allocation in vehicular fogs called AEGIS. AEGIS uses the cluster members and task parameters to do the decision-making process in the task allocation process that helps to choose the best vehicle of the fog to allocate a determined task. The AEGIS was compared to a GWO approach (meta-heuristic), Greedy, and Random (traditional) approaches. We considered allocated, denied, and lost tasks for the simulation criteria. AEGIS lost fewer tasks than the other algorithms and allocated more tasks than the traditional algorithms.
When designing wireless sensor networks, security and energy efficiency are regarded as crucial considerations. Since nodes in wireless networks run on power sources, it is crucial to create an energy-efficient techni...
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A distributed constrained optimization problem with strongly convex functions is researched in this article. The network structure between the multi agents is weight-unbalanced. Each agent's state is constrained t...
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Wireless sensor Networks (WSNs) are distinct from wired networks in that they are important for low-latency real-time data analysis. [3]. Energy conservation is a significant limitation influencing the lifespan of sen...
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In order to deeply implement the sustainable development strategy, effectively implement the 'dual carbon' goal, improve the efficiency and lifespan of electronic equipment, in-depth research on new power syst...
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