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A new approach to the maximum flow problem

by Andrew V. Goldberg, Robert E. Tarjan - JOURNAL OF THE ACM , 1988
"... All previously known efficient maximum-flow algorithms work by finding augmenting paths, either one path at a time (as in the original Ford and Fulkerson algorithm) or all shortest-length augmenting paths at once (using the layered network approach of Dinic). An alternative method based on the pre ..."
Abstract - Cited by 672 (33 self) - Add to MetaCart
All previously known efficient maximum-flow algorithms work by finding augmenting paths, either one path at a time (as in the original Ford and Fulkerson algorithm) or all shortest-length augmenting paths at once (using the layered network approach of Dinic). An alternative method based

Optimization Flow Control, I: Basic Algorithm and Convergence

by Steven H. Low, David E. Lapsley - IEEE/ACM TRANSACTIONS ON NETWORKING , 1999
"... We propose an optimization approach to flow control where the objective is to maximize the aggregate source utility over their transmission rates. We view network links and sources as processors of a distributed computation system to solve the dual problem using gradient projection algorithm. In thi ..."
Abstract - Cited by 694 (64 self) - Add to MetaCart
We propose an optimization approach to flow control where the objective is to maximize the aggregate source utility over their transmission rates. We view network links and sources as processors of a distributed computation system to solve the dual problem using gradient projection algorithm

Energy Conserving Routing in Wireless Ad-hoc Networks

by Jae-hwan Chang, Leandros Tassiulas , 2000
"... An ad-hoc network of wireless static nodes is considered as it arises in a rapidly deployed, sensor based, monitoring system. Information is generated in certain nodes and needs to reach a set of designated gateway nodes. Each node may adjust its power within a certain range that determines the set ..."
Abstract - Cited by 622 (2 self) - Add to MetaCart
propose algorithms to select the routes and the corresponding power levels such that the time until the batteries of the nodes drain-out is maximized. The algorithms are local and amenable to distributed implementation. When there is a single power level, the problem is reduced to a maximum flow problem

Topology Control of Multihop Wireless Networks using Transmit Power Adjustment

by Ram Ramanathan , Regina Rosales-hain , 2000
"... We consider the problem of adjusting the transmit powers of nodes in a multihop wireless network (also called an ad hoc network) to create a desired topology. We formulate it as a constrained optimization problem with two constraints- connectivity and biconnectivity, and one optimization objective- ..."
Abstract - Cited by 688 (3 self) - Add to MetaCart
- maximum power used. We present two centralized algorithms for use in static networks, and prove their optimality. For mobile networks, we present two distributed heuristics that adaptively adjust node transmit powers in response to topological changes and attempt to maintain a connected topology using

AntNet: Distributed stigmergetic control for communications networks

by Gianni Di Caro, Marco Dorigo - JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH , 1998
"... This paper introduces AntNet, a novel approach to the adaptive learning of routing tables in communications networks. AntNet is a distributed, mobile agents based Monte Carlo system that was inspired by recent work on the ant colony metaphor for solving optimization problems. AntNet's agents co ..."
Abstract - Cited by 336 (31 self) - Add to MetaCart
This paper introduces AntNet, a novel approach to the adaptive learning of routing tables in communications networks. AntNet is a distributed, mobile agents based Monte Carlo system that was inspired by recent work on the ant colony metaphor for solving optimization problems. AntNet's agents

A Data Structure for Dynamic Trees

by Daniel D. Sleator, Robert Endre Tarjan , 1983
"... A data structure is proposed to maintain a collection of vertex-disjoint trees under a sequence of two kinds of operations: a link operation that combines two trees into one by adding an edge, and a cut operation that divides one tree into two by deleting an edge. Each operation requires O(log n) ti ..."
Abstract - Cited by 347 (21 self) - Add to MetaCart
) time. Using this data structure, new fast algorithms are obtained for the following problems: (1) Computing nearest common ancestors. (2) Solving various network flow problems including finding maximum flows, blocking flows, and acyclic flows. (3) Computing certain kinds of constrained minimum spanning

A Distributed CSMA Algorithm for Throughput and Utility Maximization in Wireless Networks

by Libin Jiang, Jean Walrand
"... In multi-hop wireless networks, designing distributed scheduling algorithms to achieve the maximal throughput is a challenging problem because of the complex interference constraints among different links. Traditional maximal-weight (MW) scheduling, although throughput-optimal, is difficult to imple ..."
Abstract - Cited by 181 (8 self) - Add to MetaCart
to implement in distributed networks; whereas a distributed greedy protocol similar to IEEE 802.11 does not guarantee the maximal throughput. In this paper, we introduce an adaptive CSMA scheduling algorithm that can achieve the maximal throughput distributedly under some assumptions. Major advantages

Gossip algorithms: Design, analysis and applications

by Stephen Boyd, Arpita Ghosh, Salaji Prabhakar, Devavrat Shah , 2005
"... Motivated by applications to sensor, peer-to-peer and ad hoc networks, we study distributed asynchronous algorithms, also known as gossip algorithms, for computation and information exchange in an arbitrarily connected network of nodes. Nodes in such networks operate under limited computational, co ..."
Abstract - Cited by 225 (13 self) - Add to MetaCart
Motivated by applications to sensor, peer-to-peer and ad hoc networks, we study distributed asynchronous algorithms, also known as gossip algorithms, for computation and information exchange in an arbitrarily connected network of nodes. Nodes in such networks operate under limited computational

Distributed asynchronous relaxation methods for linear network flow problems

by Dimitri P. Bertsekas, Jonathan Eckstein - Proceedings of IFA C '87 , 1987
"... The dual function value q(p) at a vector p is obtained by Abstract minimizing L(f, p) over all f satisfying the capacity constraints (2). This leads to the dual problem We propose a new, massively parallelizable algorithm for the minimum cost network flow problem. We formulate a dual maximize q(p) ( ..."
Abstract - Cited by 30 (8 self) - Add to MetaCart
with the best bounds for existing dual problem ilsconsistent with sequential methods. These methods, however, are not well suited for distributed implementation. Key Words: Network flows; relaxation; distributed Primal algorithms; complexity; asynchronous algorithms. for arc *Supported by Grant NSF-ECS-8217668

Utility-based asynchronous flow control algorithm for wireless sensor networks

by Jiming Chen, Weiqiang Xu, Shibo He, Student Member, Youxian Sun, Preetha Thulasiraman, Student Member, Xuemin (sherman Shen - IEEE Journal on Selected Areas in Communications , 2010
"... Abstract—In this paper, we formulate a flow control optimization problem for wireless sensor networks with lifetime constraint and link interference in an asynchronous setting. Our formulation is based on the network utility maximization framework, in which a general utility function is used to char ..."
Abstract - Cited by 17 (6 self) - Add to MetaCart
to characterize the network performance such as throughput. To solve the problem, we propose a fully asynchronous distributed algorithm based on dual decomposition, and theoretically prove its convergence. The proposed algorithm can achieve the maximum utility. Extensive simulations are conducted to demonstrate
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