MANET is widely utilized for interactions among devices without relying on a central governing body. The frequent changes in network topologies expose it to various security vulnerabilities. Enhancing security within ...
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MANET is widely utilized for interactions among devices without relying on a central governing body. The frequent changes in network topologies expose it to various security vulnerabilities. Enhancing security within MANET is of paramount concern and demands resolution. Addressing these security-related issues stands as the sole approach to ensuring proper data sharing in MANET. Numerous security-oriented techniques have been introduced, but they have encountered several challenges, leading to increased costs and time complexity. These difficulties have necessitated additional resources to be allocated towards mitigating issues and grappling with the growing complexity, thereby introducing a layer of complexity that can impede seamless implementation and efficacy. In this context, a dynamic algorithm Switching (DAS) algorithm is proposed to strengthen security in MANET. The process begins with Node clustering, followed by cluster formation through the implementation of the Modified Density-Based Spatial Clustering of Applications (DBSCAN). The proposed method incorporates Cluster Head selection (CHS), which in turn enhances energy efficiency within MANET. The effectiveness of the DAS method is evaluated through experimentation, measuring key aspects such as Packet Delivery Ratio (PDR), end-to-end delay, throughput97.9, network lifetime, and energy consumption with the attained values 98.7%, 15.81mas, 97.9% 952 s as well as 11 J/s respectively. However the existing approaches such as ANFIS-EESC, QoSDSBS, EBR and IBADConBE achieved rate of PDR as 98.3%, 97.6%, 97.1% and 96.9% that diminished the performance. Comparative analysis demonstrates that the proposed method outperforms other techniques across all metrics, establishing its superior efficiency.
Extremely low-latency and real-time communications are required in Tactile Internet to transfer physical tactile experiences remotely. In addition, its traffic has stringent requirements on bandwidth and quality of se...
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Extremely low-latency and real-time communications are required in Tactile Internet to transfer physical tactile experiences remotely. In addition, its traffic has stringent requirements on bandwidth and quality of service (QoS). To minimize total costs of establishing the network and satisfy a pre-defined global upper delay-bound on the paths from the server to any other client for message broadcast in Tactile Internet, this paper presents a Rooted Delay-Constrained Minimum Spanning Tree (RDCMST) construction framework based on dynamic algorithm. The network is modeled as a connected weighted and undirected graph. Infeasible and suboptimal edges are discarded first by preprocessing techniques to reduce the processing complexity of the algorithm. Then the edges of the graph are processed based on a dynamic graph algorithm, which can maintain a single-source shortest path tree for the online edge deletions, such that total costs can be minimized while ensuring the delay-constraint and the tree structure. Experimental results show that our proposed approach greatly outperforms existing competing RDCMST formation algorithms, in terms of both average cost and stability of solutions. (C) 2017 Elsevier Inc. All rights reserved.
This article introduces a simulation study relating to the dynamic operating algorithm for the painted body storage (PBS) in an automotive factory. The manufacturing process in the trim shop of an automotive factory i...
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This article introduces a simulation study relating to the dynamic operating algorithm for the painted body storage (PBS) in an automotive factory. The manufacturing process in the trim shop of an automotive factory is a typical example of the mixed-model assembly production. In the paint shop, which comes before the trim shop, same-colored bodies are grouped together to reduce the changeover cost. Therefore, the PBS is located between the paint shop and the trim shop to allow for the rescheduling of the input sequence of cars to the assembly line. In this article, a case study on PBS in an automotive factory is presented. The storage/retrieval algorithms are suggested, and the proposed system is verified using simulation models. A sensitivity analysis for operating factors is also carried out.
Rotagraphs generalize all standard products of graphs in which one factor is a cycle. A computer-based approach for searching graph invariants on rotagraphs is proposed and two of its applications are presented. First...
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Rotagraphs generalize all standard products of graphs in which one factor is a cycle. A computer-based approach for searching graph invariants on rotagraphs is proposed and two of its applications are presented. First, the lambda-numbers of the Cartesian product of a cycle and a path are computed, where the lambda-number of a graph G is the minimum number of colors needed in a (2,1)-coloring of G. The independence numbers of the family of the strong product graphs C-7 boxed times C-7 boxed times C2k+1 are also obtained. (C) 2002 Elsevier B.V. All rights reserved.
Selecting a small set of representatives from a large database is important in many applications such as multi-criteria decision making, web search, and recommendation. The k-regret minimizing set (k-RMS) problem was ...
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ISBN:
(纸本)9781728191843
Selecting a small set of representatives from a large database is important in many applications such as multi-criteria decision making, web search, and recommendation. The k-regret minimizing set (k-RMS) problem was recently proposed for representative tuple discovery. Specifically, for a large database P of tuples with multiple numerical attributes, the k-RMS problem returns a size-r subset Q of P such that, for any possible ranking function, the score of the top-ranked tuple in Q is not much worse than the score of the k th-ranked tuple in P. Although the k-RMS problem has been extensively studied in the literature, existing methods are designed for the static setting and cannot maintain the result efficiently when the database is updated. To address this issue, we propose the first fully-dynamic algorithm for the k-RMS problem that can efficiently provide the up-to-date result w.r.t. any tuple insertion and deletion in the database with a provable guarantee. Experimental results on several real-world and synthetic datasets demonstrate that our algorithm runs up to four orders of magnitude faster than existing k-RMS algorithms while providing results of nearly equal quality.
The problem of dynamically recognizing a class of graphs has received much attention recently. Given an input graph and a sequence of operations (vertex and edge additions and deletions) to be performed on that graph,...
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ISBN:
(纸本)9783540709176
The problem of dynamically recognizing a class of graphs has received much attention recently. Given an input graph and a sequence of operations (vertex and edge additions and deletions) to be performed on that graph, the algorithm must determine after each operation if the resulting graph is still a member of the class in question. This paper presents the first dynamic recognition algorithm for distance-hereditary graphs. The algorithm handles edge additions and deletions, and is optimal in that each operation can be performed in constant time. In doing so, the paper completely characterizes when an edge can be added to and removed from a distance-hereditary graph with the result remaining distance-hereditary, and develops a new represemation for these graphs in terms of cographs.
The objective of this study is to develop a dynamic algorithm for traffic control subarea partition. Influencing factors are classified into static factors and dynamic factors. We mainly focus on the three dynamic fac...
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ISBN:
(纸本)9783037858585
The objective of this study is to develop a dynamic algorithm for traffic control subarea partition. Influencing factors are classified into static factors and dynamic factors. We mainly focus on the three dynamic factors which are cycle length, platoon length and traffic flow continuation. An integrated correlation model is established to quantify the correlation degree of adjacent intersections and then a dynamic partition algorithm is developed based on the model. Both this algorithm and Chang's algorithm, which is a representative achievement in subarea partition cited by Traffic control systems Handbook, are applied to a network including 20 signalized intersections in VISSIM to compare their benefits. Statistical results show that: (a) adjacent intersections with high correlation degree can be partitioned into one subarea to execute signal coordination according to our algorithm;(b) implementing our algorithm can save average vehicle delay by 8.9% and average vehicle stops by 7.8% than implementing Chang's algorithm.
With the proliferation of multicast technology applications in communication networks, the study of multicast routing has become more and more important. In this paper, we propose a new dynamic algorithm for delay co...
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With the proliferation of multicast technology applications in communication networks, the study of multicast routing has become more and more important. In this paper, we propose a new dynamic algorithm for delay constrained least cost multicast routing with controlled region rearrangement. We compare the performance of our algorithm by simulation with that of CRCDM [1] . The simulation results indicate that our algorithm provides better performance.
Flight delays (such as early or late arrivals and late departures) are a frequent occurrence in actual day to day airport operations and it is often not possible to assign such flights to their original gates. Flight ...
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Flight delays (such as early or late arrivals and late departures) are a frequent occurrence in actual day to day airport operations and it is often not possible to assign such flights to their original gates. Flight delay information may also vary with time. As a consequence, the airport authority needs to reassign flights to different gates in real-time. The traditional manual flight reassignment method is neither efficient nor effective in cases with variable flight delay information, and the reassignment is frequently time constrained. Consequently, in this study the goal is to develop a gate reassignment framework, and a systematic computerized tool, for repeatedly handling gate reassignments given varied flight delay information. The results of a test case related to Taiwan international airport operations, show that the proposed framework performs well.
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