Research on the Optimization Method about Data Distribution and Transmission Protocol Based on Mesh Network Architecture

2014 ◽  
Author(s):  
Tan Ying-Jun ◽  
Zhang Tie-Tou
Keyword(s):  
Network Architecture ◽  
Data Distribution ◽  
Optimization Method ◽  
Mesh Network ◽  
Transmission Protocol

scholarly journals Collaborative Virtual Surgery: Techniques, Applications and Challenges

2010 ◽  
Vol 9 (3) ◽  
pp. 1-7 ◽  
Author(s):  
Jing Qin ◽  
Kup-Sze Choi ◽  
Wai-Man Pang ◽  
Zhang Yi ◽  
Pheng-Ann Heng
Keyword(s):  
Medical Education ◽  
Network Architecture ◽  
Schedule Algorithm ◽  
User Interaction ◽  
Virtual Surgery ◽  
Transmission Protocol ◽  
Distributed Environments ◽  
Considerable Effort ◽  
Surgical Simulators ◽  
Haptic Communication

While considerable effort has been dedicated to improve medical education with virtual reality based surgical simulators, relatively little attention is given to the simulation of the collaborative procedures in distributed environments. In this paper, we first present a literature review of techniques involved in the development of collaborative simulators, including network architecture, transmission protocol, collaboration mechanism, schedule algorithm, collaborative user-interaction feature and haptic communication. We introduce the details of each technique and discuss the advantages and drawbacks. Then, we review some of the existing applications to illustrate how to apply these techniques to implement an efficient and robust collaborative simulator. Finally, we discuss the challenges that need to be addressed in the future.

Deployment of a Wireless Mesh Network for Traffic Control

2012 ◽  
pp. 290-310
Author(s):  
Kun-chan Lan ◽  
Zhe Wang ◽  
Mahbub Hassan ◽  
Tim Moors ◽  
Rodney Berriman ◽  
...  
Keyword(s):  
Traffic Control ◽  
Network Architecture ◽  
Wireless Mesh Network ◽  
Critical Infrastructure ◽  
Mesh Networks ◽  
New Technology ◽  
Mesh Network ◽  
Traffic Light ◽  
Wireless Mesh ◽  
Communication Needs

Wireless mesh networks (WMN) have attracted considerable interest in recent years as a convenient, new technology. However, the suitability of WMN for mission-critical infrastructure applications remains by and large unknown, as protocols typically employed in WMN are, for the most part, not designed for real-time communications. In this chapter, the authors describe a wireless mesh network architecture to solve the communication needs of the traffic control system in Sydney. This system, known as SCATS and used in over 100 cities around the world — from individual traffic light controllers to regional computers and the central TMC —places stringent requirements on the reliability and latency of the data exchanges. The authors discuss experience in the deployment of an initial testbed consisting of 7 mesh nodes placed at intersections with traffic lights, and share the results and insights learned from measurements and initial trials in the process.

Using Wireless Mesh Network for Traffic Control

2010 ◽  
pp. 331-347 ◽  
Author(s):  
Kun-Chan Lan
Keyword(s):  
Traffic Control ◽  
Network Architecture ◽  
Wireless Mesh Network ◽  
Mesh Networks ◽  
Great Majority ◽  
Mesh Network ◽  
Traffic Light ◽  
Available Bandwidth ◽  
Wireless Mesh ◽  
Communication Needs

Wireless mesh networks (WMN) have attracted considerable interest in recent years as a convenient, flexible and low-cost alternative to wired communication infrastructures in many contexts. However, the great majority of research on metropolitan-scale WMN has been centered around maximization of available bandwidth, suitable for non-real-time applications such as Internet access for the general public. On the other hand, the suitability of WMN for missioncritical infrastructure applications remains by and large unknown, as protocols typically employed in WMN are, for the most part, not designed for realtime communications. In this chapter, we describe a real-world testbed, which sets a goal of designing a wireless mesh network architecture to solve the communication needs of the traffic control system in Sydney, Australia. This system, known as SCATS (Sydney Coordinated Adaptive Traffic System) and used in over 100 cities around the world, connects a hierarchy of several thousand devices -- from individual traffic light controllers to regional computers and the central Traffic Management Centre (TMC) - and places stringent requirements on the reliability and latency of the data exchanges. We discuss some issues in the deployment of this testbed consisting of 7 mesh nodes placed at intersections with traffic lights, and show some results from the testbed measurements.

scholarly journals Deep kernel learning approach to engine emissions modeling

2020 ◽  
Vol 1 ◽  
Author(s):  
Changmin Yu ◽  
Marko Seslija ◽  
George Brownbridge ◽  
Sebastian Mosbach ◽  
Markus Kraft ◽  
...  
Keyword(s):  
Network Architecture ◽  
Mean Squared Error ◽  
Computational Cost ◽  
Optimization Method ◽  
Surrogate Models ◽  
Kernel Learning ◽  
High Dimensional Model Representation ◽  
Compression Ignition ◽  
Compression Ignition Engine ◽  
Engine Emissions

Abstract We apply deep kernel learning (DKL), which can be viewed as a combination of a Gaussian process (GP) and a deep neural network (DNN), to compression ignition engine emissions and compare its performance to a selection of other surrogate models on the same dataset. Surrogate models are a class of computationally cheaper alternatives to physics-based models. High-dimensional model representation (HDMR) is also briefly discussed and acts as a benchmark model for comparison. We apply the considered methods to a dataset, which was obtained from a compression ignition engine and includes as outputs soot and NO x emissions as functions of 14 engine operating condition variables. We combine a quasi-random global search with a conventional grid-optimization method in order to identify suitable values for several DKL hyperparameters, which include network architecture, kernel, and learning parameters. The performance of DKL, HDMR, plain GPs, and plain DNNs is compared in terms of the root mean squared error (RMSE) of the predictions as well as computational expense of training and evaluation. It is shown that DKL performs best in terms of RMSE in the predictions whilst maintaining the computational cost at a reasonable level, and DKL predictions are in good agreement with the experimental emissions data.

scholarly journals Performance Analysis on Hybrid Wireless Mesh Network Topology using Interference Aware Bandwidth Reservation

2019 ◽  
Vol 8 (2) ◽  
pp. 2666-2670
Keyword(s):  
Network Architecture ◽  
Wireless Mesh Network ◽  
Average Energy ◽  
Mesh Network ◽  
Network Simulator ◽  
Performance Parameters ◽  
Packet Size ◽  
Bandwidth Reservation ◽  
Wireless Mesh ◽  
Simulation Results

Ubiquitous of modern era which utilises Hybrid Wireless Mesh Network (HWMN) topology which gave birth to ample of modern application which demands reliability, fault tolerance and scalability. HWSN topology utilises minimum of two or multiple standard network architectural topologies, in a fashion that the resultant network architecture doesn’t depict any particular topologies like bus, star or ring but as a combination of any of those standard topologies. Prime motive of the proposed Optimised Channel Assignment Algorithm (OCSA) is which focuses on priority oriented interference minimization for all the trees which are existed, and constraint in terms of delay for evolving tree addition. Interference Aware Bandwidth Reservation (IABR) provides controllability over data flow admission for end-to-end optimal bandwidth accommodation in Multi-Radio Multi-Channel (MRMC) wireless mesh network. Proposed Priority Based Interference Aware Bandwidth Reservation (PBIABR) utilises disseminated and polynomialtime heuristic oriented assignment in channel to minimize interference in WMN with the awareness of channel priority as a primary consideration. Interference and Priority of the channel are made indirectly proportional to each other. For the channel of high priority the path which has low interference is opted. In PBIABR the whole path delay constraint of tree is sub organised into multiple node, based on delay to identify the best node which embodies minimal interference. Dominant Performance Parameters (DPP) like Throughput, Packet Size, Propagation Interval and Average Energy under HWSN Scenario. All the DPP parameters are analysed for multiple flow parameters for Interference Aware Bandwidth Reservation (IABR) and Proposed Priority Based Interference Aware Bandwidth Reservation (PBIABR) conditions. Simulation results have been captured using Network Simulator 2 tools for HWSN creation and crafted to same readings as a graph for deep analysis. The proposed simulation results for hybrid scenario highlights a considerable performance hike for the performance parameters like Throughput (bps) vs Packet size (bytes), Average Energy (joule) vs Interval (sec) and Residual Energy (joule) vs Interval (sec) under PBIABR conditions compared with IABR simulation outcome. The results have been analysed for comparative study of each parameter deeply. Inference from the comparative analysis highlights the performance parameters of PBIABR is efficient than IABR.

Design of Trustworthy Cyber-Physical-Social Systems with Discrete Bayesian Optimization

2021 ◽  
pp. 1-31
Author(s):  
Yan Wang
Keyword(s):  
Network Optimization ◽  
Network Architecture ◽  
Optimization Problem ◽  
Social Systems ◽  
Systems Design ◽  
Optimization Method ◽  
Bayesian Optimization ◽  
Security And Privacy ◽  
Quantitative Metrics ◽  
Share Information

Abstract Cyber-physical-social systems (CPSS) with highly integrated functions of sensing, actuation, computation, and communication are becoming the mainstream consumer and commercial products. The performance of CPSS heavily relies on the information sharing between devices. Given the extensive data collection and sharing, security and privacy are of major concerns. Thus one major challenge of designing those CPSS is how to incorporate the perception of trust in product and systems design. Recently a trust quantification method was proposed to measure trustworthiness of CPSS by quantitative metrics of ability, benevolence, and integrity. The CPSS network architecture can be optimized by choosing a subnet such that the trust metrics are maximized. The combinatorial network optimization problem however is computationally challenging. Most of the available global optimization algorithms for solving such problems are heuristic methods. In this paper, a surrogate-based discrete Bayesian optimization method is developed to perform network design, where the most trustworthy CPSS network with respect to a reference node is formed to collaborate and share information with. The applications of ability and benevolence metrics in design optimization of CPSS architecture are demonstrated.

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