Big Data technology is becoming ubiquitous and depicting key attention of researchers in almost all areas. VANET is a special form of MANET that uses vehicles as nodes in a network. By applying Big Data technologies t...
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ISBN:
(纸本)9781479930807
Big Data technology is becoming ubiquitous and depicting key attention of researchers in almost all areas. VANET is a special form of MANET that uses vehicles as nodes in a network. By applying Big Data technologies to Vehicular Adhoc Network (VANET), one can gain useful insight from a huge amount of operational data, to improve traffic management processes such as planning, engineering and operations. VANETs access large data during the real time operations. In this paper we map VANET characteristics to Big Data attributes stated in literature. Further, we evaluate the performance of dijkstra algorithm used for routing in vehicular networks on Hadoop Map Reduce standalone distributed framework as well as on multi node cluster with 2, 3, 4 and 5 nodes respectively. The results obtained confirm that increasing the number of nodes in Hadoop framework, processing time for the algorithm is greatly reduced.
In a massive Low Earth Orbit(LEO) satellite network without inter-satellite links(ISLs), connection between source node and destination node can be established through satellite-ground links. Utilizing satellite netwo...
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ISBN:
(纸本)9781538637784
In a massive Low Earth Orbit(LEO) satellite network without inter-satellite links(ISLs), connection between source node and destination node can be established through satellite-ground links. Utilizing satellite network topology in time virtualization algorithm and assuming that the current traffic of satellite-ground links which is used as the value of the topology correlation matrix can be perceived, the network uses the dijkstra algorithm to obtain the shortest path of the current total network traffic and thus implements load balancing of the constellation system. Due to the large number of satellites, the network topology is complex and time varying, it is difficult to find the optimal path in a short time, so a suboptimal routing algorithm based on network topology is proposed in this paper. The local network topology is obtained by using the positions of the source and destination gateway, and the number of satellites and gateways used to establish the correlation matrix of the dijkstra algorithm is reduced. Through the simulation analysis, the average computational complexity of this algorithm is much lower than that of the global optimal routing algorithm, and the average propagation delay of routing is almost the same. When the network load is normal, the system performance is almost the same with the global optimal routing algorithm.
The shipping industry is currently the sixth largest source of global emissions, generating one billion tons of greenhouse gases annually. Physical Internet is a leading solution to enhance the efficiency of shipping ...
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The shipping industry is currently the sixth largest source of global emissions, generating one billion tons of greenhouse gases annually. Physical Internet is a leading solution to enhance the efficiency of shipping operations and reduce CO2 emissions. In a physical internet framework, this research compares and simulates two sequencing strategies, based on the dijkstra algorithm, designed to optimize the routing of terminal vehicles in managing modular containers at terminals. Our results indicate that the proposed method could save the total travel time of Automated Guided Vehicles by 1.2% and lead to a 0.5% reduction in global CO2 emissions if implemented in the top 100 container ports in the world. We show that the physical internet contributes positively to mitigating climate change in maritime transport, towards eventually achieving cargo neutrality. Furthermore, our proposed mathematical model provides decision aid for handling modular containers in terminals.
Path planning algorithms obtain an available flight path with threat avoidance independently. In this paper, an improved particle swarm optimization algorithm is proposed and applied to the real-time path planning of ...
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ISBN:
(纸本)9781450363501
Path planning algorithms obtain an available flight path with threat avoidance independently. In this paper, an improved particle swarm optimization algorithm is proposed and applied to the real-time path planning of UAV based on the analysis of particle swarm optimization. The Chaos strategy prevents particles from getting into a local optimal, and dijkstra algorithm improves the quality of the path. In static mode, the experimental comparison between paths generated by classical particle algorithm and improved particle swarm algorithm proves that improvement strategy is effective. Path planning algorithms based on PSO, RRT (Rapidly-exploring random tree) and BLP (Bi-level programming) is compared in real-time mode to analyze the advantages and disadvantages of PSO based path planning
The internet of things(IoT) is considered as one of the most important supporting technologies for the smart grid, which is considered as one of the most important application areas of the IoT. In the electric IoT, wi...
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ISBN:
(纸本)9783037859391
The internet of things(IoT) is considered as one of the most important supporting technologies for the smart grid, which is considered as one of the most important application areas of the IoT. In the electric IoT, with the development of electric vehicles (EVs), effectively modeling road network becomes more and more important. In this paper, a road network model which captures the real-life road conditions better than previous models is introduced. Moreover, an awaiting time in the queue is taken into consideration before EVs being charged. Compared with minimum distance standard, the proposed time minimum standard and dijkstra algorithm are adopted to track the path of the EVs. Finally, a velocity limitation of EV is considered in the simulations to embody the real-life road network.
The interpolation fitting is an important method in the numerical analysis, and it has applied in the practical life widely. As for the questions proposed in the mathematics model, to resolve the construction of roads...
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ISBN:
(纸本)9783642163357
The interpolation fitting is an important method in the numerical analysis, and it has applied in the practical life widely. As for the questions proposed in the mathematics model, to resolve the construction of roads in the mountains with the least cost, this paper used local optimization theory, under the specific circumstances of the mountain set up control points, made the topographic map method into the network, established new network of roads, bridges tunnels and gave different weights, By minimizing the cost instead using the shortest path problem in fitting with interpolation and solved problem using dijkstra algorithm, finally reached the optimal route and the minimum cost.
The tender algorithm is one of the most commonly used algorithms in the distributed system resources management. The calculation of marked price has neglected the key consumption of sites and the reliability is low. T...
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ISBN:
(纸本)9781424440993
The tender algorithm is one of the most commonly used algorithms in the distributed system resources management. The calculation of marked price has neglected the key consumption of sites and the reliability is low. Through the improved algorithm, the introduction of resources coordinator and the adoption of dijkstra algorithm, the marked price can be calculated precisely. Then the improved tender algorithm greatly enhanced the performance and reliability of the distributed system.
Global path planning for mobile robot using genetic algorithm and simulated annealing algorithm is investigated in this paper. In view of the slow convergence speed of the conventional simulated annealing algorithm, a...
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ISBN:
(纸本)9781605583266
Global path planning for mobile robot using genetic algorithm and simulated annealing algorithm is investigated in this paper. In view of the slow convergence speed of the conventional simulated annealing algorithm, a modified simulated annealing algorithm is presented, and a hybrid algorithm based on the modified simulated annealing algorithm and genetic algorithm is proposed. The proposed algorithm includes three steps: the MAKLINK graph theory is adopted to establish the free space model of mobile robots firstly, then dijkstra algorithm is utilized for finding a feasible collision-free path and fixing on the sub-search-space where the global optimal path inside,. finally the global optimal path of mobile robots is obtained based on the hybrid algorithm of modified simulated annealing algorithm and genetic algorithm. Experimental results indicate that the proposed algorithm has better performance than simulated annealing algorithm and ant system algorithm in term of both solution quality and computational time, and thus it is a viable approach to mobile robot global path planning.
In this article, we present the application of Graph Theory in the development of an algorithm of path planning for mobile robots. The proposed system evaluates a RRT algorithm based on the individual cost of nodes an...
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ISBN:
(纸本)9783030026981;9783030026974
In this article, we present the application of Graph Theory in the development of an algorithm of path planning for mobile robots. The proposed system evaluates a RRT algorithm based on the individual cost of nodes and the optimized reconnection of the final path based on dijkstra and Floyd criteria. Our proposal includes the comparisons between different RRT* algorithms and the simulation of the environments in different platforms. The results identify that these criteria must be considered in all the variations of RRT to achieve a definitive algorithm in mobile robotics.
VLSI technology requires three main factors high speed, less power and small chip area. Speed is the factor which always depends upon clock frequency. Computation time of digital circuit can be reduced by applying tra...
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ISBN:
(纸本)9781509016662
VLSI technology requires three main factors high speed, less power and small chip area. Speed is the factor which always depends upon clock frequency. Computation time of digital circuit can be reduced by applying transformation of delay that is retiming to digital signal block, which can be applied to digital signal processing blocks that can reduce computation time. For transformation ofdelay we need critical path and shortest path computation algorithm. Clock period minimization techniques of retiming used to minimize clock period of the circuit like Infinite impulse response, Finite impulse respons (IIR, FIR) filters. We have computed critical path before applying retiming in circuit, it gives us an estimation of computing time. Shortest path algorithms are required in the circuit for solving shortest path problem in the graph. We are explaining clock period minimization technique of retiming to enhance speed and proposing new shortest path algorithm. Existing method contain Floyd-Warshall(all pair shortest path) and Bellman Ford algorithms (single point shortest path) which are used in retiming. We are giving new dijkstra algorithm(single point shortest path algorithm) instead of bellman ford algorithm because it has less run time complexity and high speed. We also observed that most of filter data flow graph are sparse. Then we have chosen Johnson algorithm (all pair shortest path) because run time complexity of it is less than Floyd-Warshall which are existing algorithm. For this purpose used CAD tool for computing run time complexity of overall algorithm.
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