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Dennis J. Baker

dblp:93/1046 · DBLP profile ↗
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6ranked-venue papers
5as first author
0since 2021 · last 1988
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 4 · 4 first-authorSystems, architecture and hardware · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
5 papers
Wireless networking · 54% Internet architecture and protocols · 20% Network performance modeling · 19%
Computer architecture, parallel and distributed computing, and storage systems
3 papers
Distributed systems · 69% Performance modeling and evaluation · 31%
Network and information security
1 paper
Network security · 100%

Topics — the 12 heaviest of 13, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet architecture and protocols
distributed control
0.021984
The Design and Simulation of a Mobile Radio Network with Distributed Control · IEEE J. Sel. Areas Commun. 1984
Distributed Control of Broadcast Radio Networks with Changing Topologies · INFOCOM 1983
Network performance modeling
simulation testbed
0.011988
A distributed simulation and prototyping testbed for radio communication networks · IEEE J. Sel. Areas Commun. 1988
Distributed systems
distributed algorithms
0.021984
The Design and Simulation of a Mobile Radio Network with Distributed Control · IEEE J. Sel. Areas Commun. 1984
The Architectural Organization of a Mobile Radio Network via a Distributed Algorithm · IEEE Trans. Commun. 1981
Wireless networking
mobile ad hoc networks
0.011987
A design concept for reliable mobile radio networks with frequency hopping signaling · Proc. IEEE 1987
Wireless networking
packet radio network
0.011987
A design concept for reliable mobile radio networks with frequency hopping signaling · Proc. IEEE 1987
Wireless networking
broadcast
0.011983
Distributed Control of Broadcast Radio Networks with Changing Topologies · INFOCOM 1983
Performance modeling and evaluation
simulation
0.021988
A distributed simulation and prototyping testbed for radio communication networks · IEEE J. Sel. Areas Commun. 1988
The Design and Simulation of a Mobile Radio Network with Distributed Control · IEEE J. Sel. Areas Commun. 1984
Wireless networking
radio networks
0.021988
A distributed simulation and prototyping testbed for radio communication networks · IEEE J. Sel. Areas Commun. 1988
Distributed Control of Broadcast Radio Networks with Changing Topologies · INFOCOM 1983
Cellular and mobile networks
mobile networks
0.011981
The Architectural Organization of a Mobile Radio Network via a Distributed Algorithm · IEEE Trans. Commun. 1981
Network security › electronic warfare › jamming attack
anti-jamming
0.011987
A design concept for reliable mobile radio networks with frequency hopping signaling · Proc. IEEE 1987
Wireless networking › wireless network architecture › wireless network topology
topology change
0.011983
Distributed Control of Broadcast Radio Networks with Changing Topologies · INFOCOM 1983
Distributed systems
fault tolerance
0.011981
The Architectural Organization of a Mobile Radio Network via a Distributed Algorithm · IEEE Trans. Commun. 1981

Methods — techniques the papers use, named apart from their topics

prototyping · 0.0distributed simulation · 0.0linked cluster algorithm · 0.0CDMA · 0.0distributed algorithm · 0.0simulation · 0.0simula · 0.0
YearPublicationVenuePosition
1988 A distributed simulation and prototyping testbed for radio communication networks
abstract
The authors discuss the development of a testbed, called the distributed simulation and prototyping testbed (DSPT), to model variable-connectivity radio networks. The DSPT constitutes a software environment in which distributed simulation and prototyping models of radio communication and command and control systems can easily be built. The environment consists of four separate software packages: communication simulation, communication monitor, scenario update/controller, and prototype node. These four packages work together to form a single distributed simulation and prototyping facility for communication network studies. They relieve the user from the need to consider many of the details that must be handled to implement a distributed testbed. Each package is easily extensible and can be tailored to specific networks, scenarios, monitor views, and prototyping needs.>
Dennis J. Baker, James P. Hauser, William A. Thoet
IEEE J. Sel. Areas Commun.1
1987 A design concept for reliable mobile radio networks with frequency hopping signaling
abstract
The design of a packet radio network must reflect the operational requirements and environmental constraints to which it is subject. In this paper, we outline those features that distinguish the High Frequency (HF) Intra Task Force (ITF) Network from other packet radio networks, and we present a design concept for this network that encompasses organizational structure, waveform design, and channel access. Network survivability is achieved through the use of distributed network control and frequency hopping spread-spectrum signaling. We demonstrate how the execution of the fully distributed Linked Cluster Algorithm can enable a network to reconfigure itself when it is affected by connectivity changes such as those resulting from jamming. Additional resistance against jamming is provided by frequency hopping, which leads naturally to the use of code division mutiple access (CDMA) techniques that permit the simultaneous successful transmission by several users. Distributed algorithms that exploit CDMA properties have been developed to schedule contention-free transmissions for much of the channel access in this network. Contention-based channel access protocols can also be implemented in conjunction with the Linked Cluster network structure. The design concept presented in this paper provides a high degree of survivability and flexibility, to accommodate changing environmental conditions and user demands.
Anthony Ephremides, Jeffrey E. Wieselthier, Dennis J. Baker
Proc. IEEE3
1984 The Design and Simulation of a Mobile Radio Network with Distributed Control
abstract
A new architecture for mobile radio networks, called the linked cluster architecture, is described, and methods for implementing this architecture using distributed control techniques are presented. We illustrate how fully distributed control methods can be combined with hierarchical control to create a network that is robust with respect to both node loss and connectivity changes. Two distributed algorithms are presented that deal with the formation and linkage of clusters and the activation of the network links. To study the performance of our network structuring algorithms, a simulation model was developed. The use of Simula to construct, software simulation tools is illustrated. Simulation results are shown for the example of a high frequency (HF) intratask force (ITF) communication network.
Dennis J. Baker, Anthony Ephremides, Julia A. Flynn
IEEE J. Sel. Areas Commun.1
1983 Distributed Control of Broadcast Radio Networks with Changing Topologies
Dennis J. Baker
INFOCOM1
1981 A Distributed Algorithm for Organizing Mobile Radio Telecommunication Networks
Dennis J. Baker, Anthony Ephremides
ICDCS1
1981 The Architectural Organization of a Mobile Radio Network via a Distributed Algorithm
abstract
In this paper we consider the problem of organizing a set of mobile, radio-equipped nodes into a connected network. We require that a reliable structure be acquired and maintained in the face of arbitrary topological changes due to node motion and/or failure. We also require that such a structure be achieved without the use of a central controller. We propose and develop a self-starting, distributed algorithm that establishes and maintains such a connected architecture. This algorithm is especially suited to the needs of the HF Intra-Task Force (ITF) communication network, which is discussed in the paper.
Dennis J. Baker, Anthony Ephremides
IEEE Trans. Commun.1