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

Abdullah Konak, Orhan Dengiz, Alice E. Smith

Research output: Contribution to journalArticle

9 Citations (Scopus)

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 languageEnglish (US)
Pages (from-to)247-267
Number of pages21
JournalInternational Series in Operations Research and Management Science
Volume158
DOIs
StatePublished - Jan 1 2011

Fingerprint

Network Optimization
Network Connectivity
Mobile ad hoc networks
Mobile Ad Hoc Networks
Ad hoc networks
Ad Hoc Networks
Particle swarm optimization (PSO)
Particle Swarm Optimization
Vertex of a graph
Optimal Location
Telecommunication Network
Network Management
Network management
Router
Particle Swarm Optimization Algorithm
Routers
Wireless Communication
Instant
Telecommunication networks
Infrastructure

All Science Journal Classification (ASJC) codes

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

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’ 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.}",
year = "2011",
month = "1",
day = "1",
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",

}

Improving network connectivity in ad hoc networks using particle swarm optimization and agents. / Konak, Abdullah; Dengiz, Orhan; Smith, Alice E.

In: International Series in Operations Research and Management Science, Vol. 158, 01.01.2011, p. 247-267.

Research output: Contribution to journalArticle

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.

PY - 2011/1/1

Y1 - 2011/1/1

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

VL - 158

SP - 247

EP - 267

JO - International Series in Operations Research and Management Science

JF - International Series in Operations Research and Management Science

SN - 0884-8289

ER -