In this paper we consider both the maximization variant MAX REP and the minimization variantMIN REP of the famous LABEL COVER problem. So far the best approximation ratios known for these two problems were O(root n) a...
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In this paper we consider both the maximization variant MAX REP and the minimization variantMIN REP of the famous LABEL COVER problem. So far the best approximation ratios known for these two problems were O(root n) and indeed some authors suggested the possibility that this ratio is the best approximation factor for these two problems. We show, in fact, that there are a O(n(1/3))-approximation algorithm for MAX REP and a O(n(1/3)log(2/3) n)-approximation algorithm for MIN REP. In addition, we also exhibit a randomized reduction from DENSEST k-SUBGRAPH to MAX REP, showing that any approximation factor for MAX REP implies the same factor (up to a constant) for DENSEST k-SUBGRAPH.
A coloring of the vertices of a graph is called convex if each subgraph induced by all vertices of the same color is connected. We consider three variants of recoloring a colored graph with minimal cost such that the ...
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A coloring of the vertices of a graph is called convex if each subgraph induced by all vertices of the same color is connected. We consider three variants of recoloring a colored graph with minimal cost such that the resulting coloring is convex. Two variants of the problem are shown to be N P-hard on trees even if in the initial coloring each color is used to color only a bounded number of vertices. For graphs of bounded treewidth, we present a polynomial-time (2 + epsilon)-approximation algorithm for these two variants and a polynomial-time algorithm for the third variant. Our results also show that, unless NP subset of DTIME(n(0(log logn))) there is no polynomial-time approximation algorithm with a ratio of size (1 - o(1)) In In N for the following problem: given pairs of vertices in an undirected N-vertex graph of bounded treewidth, determine the minimal possible number l for which all except l pairs can be connected by disjoint paths. (C) 2011 Elsevier B.V. All rights reserved.
This paper considers the problem of computing the optimal trajectories of multiple mobile elements (e. g. robots, vehicles, etc.) to minimize data collection latency in wireless sensor networks (WSNs). By relying on s...
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ISBN:
(纸本)9781467307758
This paper considers the problem of computing the optimal trajectories of multiple mobile elements (e. g. robots, vehicles, etc.) to minimize data collection latency in wireless sensor networks (WSNs). By relying on slightly different assumption, we define two interesting problems, the k-traveling salesperson problem with neighborhood (k-TSPN) and the k-rooted path cover problem with neighborhood (k-PCPN). Since both problems are NP-hard, we propose constant factor approximation algorithms for them. Our simulation results indicate our algorithms outperform their alternatives.
Segmentation of the hand from an image is a necessary step for many applications e.g. hand tracking, gesture recognition. One of the major problems is the hand-forearm segmentation. We propose mathematic model based o...
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ISBN:
(纸本)9781467318556;9781467318570
Segmentation of the hand from an image is a necessary step for many applications e.g. hand tracking, gesture recognition. One of the major problems is the hand-forearm segmentation. We propose mathematic model based on geometrical features of silhouette shape to address this problem. Then an accurate and effective approximation algorithm is proposed to obtain the solution of the model. Finally a complete hand segmentation algorithm is realized by using the Kinect sensor. The experiment result proves that our algorithm is accurate and fast.
In this paper, we consider the problem of partitioning a given collection of subsets of nodes into.. collections such that the average size of each collection is the largest, where the size of a collection is defined ...
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ISBN:
(纸本)9780769548937;9781467346245
In this paper, we consider the problem of partitioning a given collection of subsets of nodes into.. collections such that the average size of each collection is the largest, where the size of a collection is defined as the size of the union of the subsets contained in the collection. At first, we give an upper bound on the performance ratio of Abrams et al.'s approximation algorithm which is known to have a performance ratio of at least 1 - 1/e where e is Napier's constant. The result of numerical calculations indicates that an upper bound is 3/4 + epsilon for small epsilon > 0. Next, we design a distributed implementation of Abrams et al.'s algorithm, which is based on the idea of arbitration using a spanning tree. Our algorithm can be used for the periodical switching of active subsets in Wireless Sensor Networks.
One approach to guarantee the performance of underwater acoustic sensor networks is to deploy multiple Surface-level Gateways (SGs) at the surface. This paper addresses the connected (or survivable) Constrained Surfac...
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One approach to guarantee the performance of underwater acoustic sensor networks is to deploy multiple Surface-level Gateways (SGs) at the surface. This paper addresses the connected (or survivable) Constrained Surface-level Gateway Placement (C-SGP) problem for 3-D underwater acoustic sensor networks. Given a set of underwater sensor nodes (USNs) which are floated at different depths to perform collaborative monitoring tasks over a given region, and a set of candidate locations where SGs may be placed, our objective is to place minimum number of SGs at a subset of candidate locations such that it is connected (or k-connected) from any USN to the base station. We first propose a general algorithm for the connected C-SGP problem and prove its approximation ratio. We also give a constant ratio approximation algorithm for the problem. Second, for the survivable C-SGP problem we also propose a general algorithm and prove its approximation ratio. Finally, we give a constant ratio approximation algorithm for the 2-connected C-SGP problem. (c) 2011 Elsevier B.V. All rights reserved.
Along with the rapid development of network communication technology and the explosive growth of the internet applications, network reliability appears increasingly important to both traditional areas such as defense,...
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ISBN:
(纸本)9780769548937;9781467346245
Along with the rapid development of network communication technology and the explosive growth of the internet applications, network reliability appears increasingly important to both traditional areas such as defense, finance and power industry, and emerging areas such as trusted computing, cloud computing and next-generation Internet. An interesting subject that has attracted great effort is how to design network topologies with a minimum network resource usage in terms of cost that provides a relibility guarantee. As problems on this subject, like most other network optimization problems, are well-known NP-hard even in their simplest form, design of effective solutions with a guaranteed approximation ratio from the optimal solution has been a major research focus of great significance for both theory and applications. This survery summarizes major existing techniques and results for solving some central problems in designing survivable networks including the minimal connected subgraph problem, the survivable network design problem and the Steiner minimal network problem.
We consider the problem of energy aware scheduling of a set of jobs on a set of unrelated parallel machines with the average weighted completion time plus energy objective. The processing time and the energy consumpti...
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ISBN:
(纸本)9780769548654;9781467351461
We consider the problem of energy aware scheduling of a set of jobs on a set of unrelated parallel machines with the average weighted completion time plus energy objective. The processing time and the energy consumption of the jobs are machine and speed dependent. Also, every job is subject to a machine-dependent release date. Firstly, we aim to find a non-preemptive schedule of the jobs minimizing the average weighted completion time plus energy, and we propose a randomized approximation algorithm that we derandomize obtaining a deterministic approximation algorithm. We then consider the budget variant of the problem where the objective is to minimize the average completion time while the total energy consumption does not exceed a given budget.
In this work, we present the design of two novel algorithms for constructing connected dominating set (CDS) in wireless sensor networks (WSNs). Both algorithms are intended to minimize CDS size. The first algorithm ha...
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ISBN:
(纸本)9783642318696
In this work, we present the design of two novel algorithms for constructing connected dominating set (CDS) in wireless sensor networks (WSNs). Both algorithms are intended to minimize CDS size. The first algorithm has a performance factor of 5 from the optimal solution, which outperforms the best-published results (5.8+ ln 4) in [1]. The second algorithm is an improved version of the first one. We included the theoretical analysis and simulation results showing the effectiveness of both algorithms.
In the actual industrial engineering, machines used for processing need to be checked periodically to ensure that they can work efficiently. Thus, the novel scheduling problem for parallel machines with limited capaci...
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ISBN:
(纸本)9783037852996
In the actual industrial engineering, machines used for processing need to be checked periodically to ensure that they can work efficiently. Thus, the novel scheduling problem for parallel machines with limited capacities is worth to study. The objective function is to maximize the last completion time of jobs. We show the problem is NP-hard at least. Furthermore, two approximation algorithms are presented, and algorithms' performances are considered through the experiments with large amounts of data.
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