this study proposes a SMC-based longitudinal cruise controller of truck platoon. Firstly, the platoon model withthe constant time headway spacing is characterized and the platoon control objectives including rear-end...
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Withthe continuous variation of the power demand and the weather-dependent characteristics of the distributed energy resources (DERs), the balance of operation security and customers' benefits, is not easy to har...
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Wireless Adhoc and sensor Networks (WASN) are examples of resource constrained networks. Energy is one of the most useful and scarce resources. Numerous works have been done in order to make these networks live with t...
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distributed detection with multiple sensors and a fusion center over binary symmetric channels has been investigated. the fusion center receives noisy observations of the local binary decisions. A fundamental tradeoff...
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the advent of Internet of things (IoT) has bring a new era in communication technology by expanding the current inter-networking services and enabling the machine-to-machine communication. IoT massive deployments will...
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ISBN:
(纸本)9781665439299
the advent of Internet of things (IoT) has bring a new era in communication technology by expanding the current inter-networking services and enabling the machine-to-machine communication. IoT massive deployments will create the problem of optimal power allocation. the objective of the optimization problem is to obtain a feasible solution that minimizes the total power consumption of the WSN, when the error probability at the fusion center meets certain criteria. this work studies the optimization of a wireless sensor network (WNS) at higher dimensions by focusing to the power allocation of decentralized detection. More specifically, we apply and compare four algorithms designed to tackle Large scale global optimization (LSGO) problems. these are the memetic linear population size reduction and semi-parameter adaptation (MLSHADE-SPA), the contribution-based cooperative coevolution recursive differential grouping (CBCC-RDG3), the differential grouping with spectral clustering-differential evolution cooperative coevolution (DGSC-DECC), and the enhanced adaptive differential evolution (EADE). To the best of the authors knowledge, this is the first time that LSGO algorithms are applied to the optimal power allocation problem in IoT networks. We evaluate the algorithms performance in several different cases by applying them in cases with 300, 600 and 800 dimensions.
In order to solve the problems of poor accuracy and slow speed in face retrieval for large-scale social networking avatars, this paper proposes a real-time distributed face retrieval system supporting hundreds of mill...
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Mobile Edge computing (MEC) has been envisioned as a promising distributedcomputing paradigm, where mobile users offload their tasks to edge nodes to decrease the cost of energy and computation. However, most existin...
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ISBN:
(纸本)9781665449359
Mobile Edge computing (MEC) has been envisioned as a promising distributedcomputing paradigm, where mobile users offload their tasks to edge nodes to decrease the cost of energy and computation. However, most existing works only consider the congestion of wireless channels as the crucial factor influencing the strategy-making process, and ignore the impact of the offloading among edge nodes. In addition, centralized task offloading strategies result in heavy computation complexity in center nodes. Along this line, we take boththe congestion of wireless channels and the offloading among multiple edge nodes into consideration to enrich users' offloading strategies. To this end, we first formulate the offloading problem as a multi-user potential game, and then propose a distributed task offloading algorithm to reach an equilibrium state which can also protect individual privacy. Specifically, in the above task offloading algorithm, we propose two subalgorithms to select users for updating strategies: Parallel User Selection Algorithm (PUS) and Single User Selection Algorithm (SUS) in order to substantially accelerate the convergence. Extensive experiments on three real-world data sets validate that the proposed algorithm achieves a Nash equilibrium and effectively decreases the total user cost which is acceptable compared to the optimal solution.
In this paper, we investigate a scenario where a distributed satellite system (DSS) serves as a distributedcomputing platform within the space-terrestrial integrated network (STIN), catering to ground users. To enhan...
In this paper, we investigate a scenario where a distributed satellite system (DSS) serves as a distributedcomputing platform within the space-terrestrial integrated network (STIN), catering to ground users. To enhance the scalability of the distributedcomputing system and adapt to variations in user request traffic, we propose an auto-scaling service strategy based on traffic prediction. the prediction is implemented using the long short-term memory recurrent neural network (LSTM-RNN) method. Numerical results are presented to demonstrate the superiority of our proposed traffic prediction algorithm compared to existing approaches, while experimental findings confirm that our auto-scaling service strategy effectively enhances system performance in terms of service quality.
the proceedings contain 33 papers. the topics discussed include: research on non-invasive specific electrical load identification based on VMD algorithm;a carbon emission accounting model of transmission line consider...
ISBN:
(纸本)9781665487832
the proceedings contain 33 papers. the topics discussed include: research on non-invasive specific electrical load identification based on VMD algorithm;a carbon emission accounting model of transmission line considering measurement error;distributed consistent coordinated control of modular converters on ac side of electric power router;optimal charging power tracking control of advanced adiabatic compressed air energy storage over wide operation ranges;expansion planning of transmission network considering abundance and depletion characteristics of hydropower-dominated power system;research on carbon measurement models of substations;research on data leakage prevention technology in power industry;a power quality data transmission scheme for the distribution network;research on the optimal allocation method of flexible resources in power system;and reserve capacity allocation and optimization method of power systems with renewable energy.
A network is a distributed dynamic multi-hop MANET (mobile ad-hoc network). It's critical to create a successful ad-hoc network routing system in order to address the issue with MANET-based WSN (Wireless sensor Ne...
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ISBN:
(数字)9798331522667
ISBN:
(纸本)9798331522674
A network is a distributed dynamic multi-hop MANET (mobile ad-hoc network). It's critical to create a successful ad-hoc network routing system in order to address the issue with MANET-based WSN (Wireless sensor Network). In this proposal, various WSN communication routing algorithms are analyzed. there is also a brief description of significant routing and security issues. this research focuses on taxonomies associated with adhoc routing approaches and assesses the merits of suggested routing protocols for setting up sensor nodes and sending sensor signals.
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