Improving network connectivity in ad hoc networks using particle swarm optimization and agents

Abdullah Konak; Orhan Dengiz; Alice E. Smith

doi:10.1007/978-1-4419-6111-2_11

Improving network connectivity in ad hoc networks using particle swarm optimization and agents

Abdullah Konak, Orhan Dengiz, Alice E. Smith

Division of Engineering, Business & Computing (Berks)

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

In a mobile ad hoc network (MANET) the nodes can serve as both routers and hosts and can forward packets on behalf of other nodes in the network. This functionality allows the MANET to form an instant, autonomous telecommunication network without an existing infrastructure or a central network control. This chapter introduces a dynamic MANET management system to improve network connectivity by using controlled network nodes called agents. Agents have predefined wireless communication capabilities similar to the other nodes in the MANET. However, the agents’ movements, and thus their locations, are dynamically determined to optimize network connectivity. A particle swarm optimization (PSO) algorithm is used to choose optimal locations of the agents during each time step of network operation.

Original language	English (US)
Pages (from-to)	247-267
Number of pages	21
Journal	International Series in Operations Research and Management Science
Volume	158
DOIs	https://doi.org/10.1007/978-1-4419-6111-2_11
State	Published - 2011

All Science Journal Classification (ASJC) codes

Software
Computer Science Applications
Strategy and Management
Management Science and Operations Research
Applied Mathematics

Access to Document

10.1007/978-1-4419-6111-2_11

Cite this

@article{3c737a8037c5420c93cc2e2f9280d39d,

title = "Improving network connectivity in ad hoc networks using particle swarm optimization and agents",

abstract = "In a mobile ad hoc network (MANET) the nodes can serve as both routers and hosts and can forward packets on behalf of other nodes in the network. This functionality allows the MANET to form an instant, autonomous telecommunication network without an existing infrastructure or a central network control. This chapter introduces a dynamic MANET management system to improve network connectivity by using controlled network nodes called agents. Agents have predefined wireless communication capabilities similar to the other nodes in the MANET. However, the agents{\textquoteright} movements, and thus their locations, are dynamically determined to optimize network connectivity. A particle swarm optimization (PSO) algorithm is used to choose optimal locations of the agents during each time step of network operation.",

author = "Abdullah Konak and Orhan Dengiz and Smith, {Alice E.}",

note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media, LLC 2011.",

year = "2011",

doi = "10.1007/978-1-4419-6111-2_11",

language = "English (US)",

volume = "158",

pages = "247--267",

journal = "International Series in Operations Research and Management Science",

issn = "0884-8289",

publisher = "Springer Science + Business Media",

}

TY - JOUR

T1 - Improving network connectivity in ad hoc networks using particle swarm optimization and agents

AU - Konak, Abdullah

AU - Dengiz, Orhan

AU - Smith, Alice E.

N1 - Publisher Copyright: © Springer Science+Business Media, LLC 2011.

PY - 2011

Y1 - 2011

N2 - In a mobile ad hoc network (MANET) the nodes can serve as both routers and hosts and can forward packets on behalf of other nodes in the network. This functionality allows the MANET to form an instant, autonomous telecommunication network without an existing infrastructure or a central network control. This chapter introduces a dynamic MANET management system to improve network connectivity by using controlled network nodes called agents. Agents have predefined wireless communication capabilities similar to the other nodes in the MANET. However, the agents’ movements, and thus their locations, are dynamically determined to optimize network connectivity. A particle swarm optimization (PSO) algorithm is used to choose optimal locations of the agents during each time step of network operation.

AB - In a mobile ad hoc network (MANET) the nodes can serve as both routers and hosts and can forward packets on behalf of other nodes in the network. This functionality allows the MANET to form an instant, autonomous telecommunication network without an existing infrastructure or a central network control. This chapter introduces a dynamic MANET management system to improve network connectivity by using controlled network nodes called agents. Agents have predefined wireless communication capabilities similar to the other nodes in the MANET. However, the agents’ movements, and thus their locations, are dynamically determined to optimize network connectivity. A particle swarm optimization (PSO) algorithm is used to choose optimal locations of the agents during each time step of network operation.

UR - http://www.scopus.com/inward/record.url?scp=84975748540&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84975748540&partnerID=8YFLogxK

U2 - 10.1007/978-1-4419-6111-2_11

DO - 10.1007/978-1-4419-6111-2_11

M3 - Article

AN - SCOPUS:84975748540

SN - 0884-8289

VL - 158

SP - 247

EP - 267

JO - International Series in Operations Research and Management Science

JF - International Series in Operations Research and Management Science

ER -

Improving network connectivity in ad hoc networks using particle swarm optimization and agents

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this