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783
A mobility-based framework for adaptive clustering in wireless ad hoc networks
- IEEE Journal Selected Areas in Communications
, 1999
"... Abstract—This paper presents a novel framework for dynamically organizing mobile nodes in wireless ad hoc networks into clusters in which the probability of path availability can be bounded. The purpose of the ( ; t) cluster is to help minimize the far-reaching effects of topological changes while b ..."
Abstract
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Cited by 217 (0 self)
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balancing the need to support more optimal routing. A mobility model for ad hoc networks is developed and is used to derive expressions for the probability of path availability as a function of time. It is shown how this model provides the basis for dynamically grouping nodes into clusters using
A new approach for allocating buffers and bandwidth to heterogeneous, regulated traffic in an ATM node
- IEEE Journal on Selected Areas in Communications
, 1995
"... Abstract-A new approach to determining the admissibility of variable bit rate (VBR) traffic in buffered digital networks is developed. In this approach all traffic presented to the network is assumed to have been subjected to leaky-bucket regulation, and extremal, periodic, on-off regulated traffic ..."
Abstract
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Cited by 164 (10 self)
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Abstract-A new approach to determining the admissibility of variable bit rate (VBR) traffic in buffered digital networks is developed. In this approach all traffic presented to the network is assumed to have been subjected to leaky-bucket regulation, and extremal, periodic, on-off regulated traffic
Optimizing Sensor Networks in the Energy-Latency-Density Design Space
- IEEE TRANSACTIONS ON MOBILE COMPUTING
, 2002
"... In wireless sensor networks, energy efficiency is crucial to achieving satisfactory network lifetime. To reduce the energy consumption significantly, a node should turn off its radio most of the time, except when it has to participate in data forwarding. We propose a new technique, called Sparse T ..."
Abstract
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Cited by 194 (1 self)
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In wireless sensor networks, energy efficiency is crucial to achieving satisfactory network lifetime. To reduce the energy consumption significantly, a node should turn off its radio most of the time, except when it has to participate in data forwarding. We propose a new technique, called Sparse
Network-aware operator placement for stream-processing systems
- In ICDE
, 2006
"... To use their pool of resources efficiently, distributed stream-processing systems push query operators to nodes within the network. Currently, these operators, ranging from simple filters to custom business logic, are placed manually at intermediate nodes along the transmission path to meet applicat ..."
Abstract
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Cited by 143 (9 self)
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application-specific performance goals. Determining placement locations is challenging because network and node conditions change over time and because streams may interact with each other, opening venues for reuse and repositioning of operators. This paper describes a stream-based overlay network (SBON), a
Near-optimal sensor placements: Maximizing information while minimizing communication cost
- In IPSN
, 2006
"... When monitoring spatial phenomena with wireless sensor networks, selecting the best sensor placements is a fundamental task. Not only should the sensors be informative, but they should also be able to communicate efficiently. In this paper, we present a data-driven approach that addresses the three ..."
Abstract
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Cited by 152 (19 self)
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When monitoring spatial phenomena with wireless sensor networks, selecting the best sensor placements is a fundamental task. Not only should the sensors be informative, but they should also be able to communicate efficiently. In this paper, we present a data-driven approach that addresses the three
Reverse engineering of regulatory networks in human B cells.
- Nat. Genet.
, 2005
"... Cellular phenotypes are determined by the differential activity of networks linking coregulated genes. Available methods for the reverse engineering of such networks from genome-wide expression profiles have been successful only in the analysis of lower eukaryotes with simple genomes. Using a new m ..."
Abstract
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Cited by 178 (2 self)
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of both protein-protein interaction and metabolic networks is of a hierarchical scale-free nature 1,2 , characterized by an inverse relationship between the number of nodes and their connectivity (scale-free) and by a preferential interaction among highly connected genes, called hubs (hierarchical
Exploiting heterogeneity in sensor networks
- in Proc. of the IEEE Infocom
, 2005
"... Abstract—The presence of heterogeneous nodes (i.e., nodes with an enhanced energy capacity or communication capability) in a sensor network is known to increase network reliability and lifetime. However, questions of where, how many, and what types of heterogeneous resources to deploy remain largely ..."
Abstract
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Cited by 87 (1 self)
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on performance in networks of different sizes and densities. While we prove that optimal deployment is very hard in general, we also show that only a modest number of reliable, long-range backhaul links and linepowered nodes are required to have a significant impact. Properly deployed, heterogeneity can triple
Heuristic Approaches with Probabilistic Management for Node Placement in Wireless Sensor Networks
"... placement is a key factor for determining the coverage, connectivity, cost and lifetime. Managing energy of the sensor nodes is not much easy while comparing mobile Ad-Hoc Networks. But the same approach can be implemented to manage the WSN. Addressing the management of the whole network is omitted ..."
Abstract
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Cited by 2 (0 self)
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and energy scheme where only a subset of nodes is managed is provided for light-weight and efficient management. Relay node placement in heterogeneous WSN are formulated using a generalized node placement optimization problem to minimize the network cost with lifetime constraint, and connectivity. Based
Heuristic Approaches with Energy Management for Node Placement in Wireless Sensor Networks
"... In Wireless Sensor Network, Device placement is a key factor for determining the coverage, connectivity, and cost along with lifetime. Managing the sensor nodes is not much easier while comparing mobile Ad ¬ Hoc Networks. But the same approach can be implemented to manage the WSN. Addressing the man ..."
Abstract
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the management of the whole network is omitted and a probabilistic scheme where only a subset of nodes is managed is provided for light ¬ weight and efficient management. Relay node placement in heterogeneous WSN are formulated using a generalized node placement optimization problem to minimize the network cost
Aggregate Node Placements in Sensor Networks
"... Abstract—In this paper we consider the design issue of sensor networks by placing a few powerful aggregate nodes into a dense sensor network such that the network lifetime is significantly prolonged when performing data gathering. Specifically, the problem is to place K aggregate nodes into a dense ..."
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node are met. Clearly, this is a joint optimization problem of aggregate node placement and the communication structure, which is NP-hard. We approach the problem by devising a fast and scalable heuristic algorithm. We also conduct experiments by simulation to evaluate its performance
Results 1 - 10
of
783
