This paper focuses on the weighted set cover problem in networking systems and presents a fully distributed algorithm from the perspective of Nash equilibrium learning and selection. By viewing each set as an agent, w...
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ISBN:
(数字)9781665467612
ISBN:
(纸本)9781665467629
This paper focuses on the weighted set cover problem in networking systems and presents a fully distributed algorithm from the perspective of Nash equilibrium learning and selection. By viewing each set as an agent, we recast the problem as a networked ordinal potential game and classify the resulting Nash equilibrium into two categories. We show that each inferior Nash equilibrium (INE) could always be improved via local action exchange and better approximations could be achieved via self-organized selection among superior Nash equilibria (SNEs). By showing the existence of an improvement path that leads any action profile to an SNE, we prove that our algorithm converges in finite time to a conventional Nash equilibrium, where the joint action is a selected SNE. Comparison experiments with typical methods demonstrate the superiority to the state of the art.
The content dissemination among mobile users can be solved by self-facilitated mobile ad hoc networks (MANET) in an infrastructure environment. But the devices used to make up the mobile ad hoc networks usually have a...
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The content dissemination among mobile users can be solved by self-facilitated mobile ad hoc networks (MANET) in an infrastructure environment. But the devices used to make up the mobile ad hoc networks usually have a limited radio transmission range, sporadic node density and power limitation, which makes MANET become intermittently connected. In this paper we focus on the content delivery problem in intermittently connected ad hoc networks (ICMANET). We propose an efficient model for this problem in ICMANET to maximize the total number of requests to be met. We have proposed a distributed algorithm based on the model which can be implemented by each node in ICMANET. We compare our algorithm with the existing ones and the simulation results demonstrate that our algorithm outperforms other algorithms significantly.
An optimization tree approach to the mining of very extensive and complex databases for performance optimizing opportunities is described. This methodology is based on a combination of three innovations: a data manage...
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An optimization tree approach to the mining of very extensive and complex databases for performance optimizing opportunities is described. This methodology is based on a combination of three innovations: a data management system designed explicitly for data intensive computing; a distributed algorithm for growing classification and regression trees (CART); and a tree based stochastic programming paradigm for the selection of control attributes to optimize a specified objective function. This methodology provides a general technique for optimization in financial applications that is scalable as the number of objects in the database and as the number of attributes per object grow. This scalability allows for a complete data driven analysis of large scale data sets, without the need to restrict attention to sparsely sampled data sets that limits previous methods.
Wireless sensor networks (WSNs) are emerging as powerful platforms for distributed embedded computing supporting a variety of high-impact applications such as disaster/crime prevention and military applications, envir...
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Wireless sensor networks (WSNs) are emerging as powerful platforms for distributed embedded computing supporting a variety of high-impact applications such as disaster/crime prevention and military applications, environmental applications, health applications, and smart spaces. Programming WSNs is a complex task as system level code and application level code are often intertwined. Several programming paradigms have been to date proposed which provide programming abstractions and programming support for the development of WSN applications. In this paper we propose a specification language centered on the concept of lightweight agent based on events and states which distinctively integrates the advantages of three important paradigms and models for WSN programming: agent- based, event-driven and state-based programming. The proposed language is exemplified through a specification of the well-known EnviroTrack application.
A new approach to joint scheduling, flow control and routing in wireless networks, based on formulation as a convex optimization problem is presented. This approach is novel in that it integrates optimal scheduling an...
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ISBN:
(纸本)9781424446353
A new approach to joint scheduling, flow control and routing in wireless networks, based on formulation as a convex optimization problem is presented. This approach is novel in that it integrates optimal scheduling and flow control with a modified version of minimum delay routing, resulting in significant performance advantage over alternative approaches. We come up with a distributed algorithm for implementation of the proposed scheme and show, by analysis and simulation, that the algorithm achieves fairness and/or priorities among users in accordance with pre-assigned user parameters. In sharp contrast to alternative algorithms that perform scheduling and packet routing based on per-session queue differential between adjacent nodes, our algorithm uses a complete multi-hop view of network conditions for packet routing and retains the desirable properties of minimum delay routing. As the result, it achieves queue sizes and end-to-end delays that are several times smaller, without compromising the throughput.
distributed algorithms in dynamic networks often employ communication patterns whose purpose is to disseminate information among the participants. Gossiping is one form of such communication pattern. In dynamic settin...
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distributed algorithms in dynamic networks often employ communication patterns whose purpose is to disseminate information among the participants. Gossiping is one form of such communication pattern. In dynamic settings, the set of participants can change substantially as new participants join, and as failures and voluntary departures remove those who have joined previously. A natural question for such settings is: how soon can newly joined nodes discover each other by means of gossiping? This paper abstracts and studies the join problem for dynamic systems that use all-to-all gossip. The problem is studied in terms of join-connectivity graphs where vertices represent the participants and where each edge represents one participant's knowledge about another. Ideally, such a graph has diameter one, i.e., all participants know each other. The diameter can grow as new participants join, and as failures remove edges from the graph. Gossip helps participants discover one another, decreasing the diameter. The results describe the lower and upper bounds on the number of communication rounds such that the participants who have previously joined discover one another, under a variety of assumptions about the joining and failures. For example, in the case when new participants join at multiple participants and participants may crash, the number of rounds cannot be bounded. In the more benign cases when the failures can be controlled or when new participants join at only one participant, the bound on rounds is shown to be logarithmic in the diameter of the initial configuration.
Connected dominating set based routing is a promising approach for enhancing the routing efficiency in wireless ad hoc networks. However, finding the minimum dominating set in an arbitrary graph is a NP-hard problem. ...
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ISBN:
(纸本)0780388151
Connected dominating set based routing is a promising approach for enhancing the routing efficiency in wireless ad hoc networks. However, finding the minimum dominating set in an arbitrary graph is a NP-hard problem. We propose a simple and efficient distributed algorithm for constructing a connected dominating set in wireless ad hoc networks with time complexity O(n) and message complexity O(nlog n). The dominating set generated with our algorithm can be more reliable and load balanced for routing as compared with some well-known algorithms. The simulation results demonstrate that our algorithm outperforms previous work in terms of the size of the resultant connected dominating set.
The next generation of wireless networks (4G) will use OFDMA (Orthogonal Frequency Division Multiple Access) in the reverse link. In OFDMA, the reverse link resources assigned to a user are called tiles each of which ...
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The next generation of wireless networks (4G) will use OFDMA (Orthogonal Frequency Division Multiple Access) in the reverse link. In OFDMA, the reverse link resources assigned to a user are called tiles each of which consists of a subset of consecutive subcarriers. Since at most one user is assigned to each of these tiles then reverse link transmissions within a sector are orthogonal. However, the transmission is affected by intercell interference since users in adjacent sectors may also have been assigned to the same tile. If those users in the adjacent sectors transmitted with high power then the intercell interference may severely limit the SINR achieved by the user. Therefore user transmission powers must be carefully managed to avoid excessive intercell interference. In this paper we propose a distributed algorithm for the problem and use numerical results to illustrate its performance.
Multicast avoids sending repeated packets over the same network links and thus offers the promise of supporting multimedia streaming over wide-area networks. Previously, two opposite multicast schemes forward-path for...
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Multicast avoids sending repeated packets over the same network links and thus offers the promise of supporting multimedia streaming over wide-area networks. Previously, two opposite multicast schemes forward-path forwarding and reverse-path forwarding have been proposed on top of structured peer-to-peer (p2p) overlay networks. In this paper, we propose a new model for optimizing application layer multicast in the context of Peer-to-Peer networks (structured and unstructured). In this contribution, we consider two approaches for multicast tree construction: a "primitive " approach, and an optimized one based on a distributed algorithm. The proposed model inherits from main P2P attributes such as: scalability, fault tolerance, while taking into consideration the respective characteristics of "one to many" and "many to many" applications. We also give a performance evaluation for validation and comparison purposes. For this we consider some main existing application layer multicast protocols.
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