Towards a location and mobility-aware routing protocol for improving multimedia streaming performance in MANETs

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The increasing availability and decreasing cost of mobile devices equipped with WiFi radios has led to increasing demand for multimedia applications in both professional and entertainment contexts. The streaming of multimedia however requires strict adherence to QoS levels in order to guarantee suitable quality for end users. MANETs lack the centralised control, coordination and infrastructure of wireless networks as well as presenting a further element of complexity in the form of device mobility. Such constraints make achieving suitable QoS a nontrivial challenge and much work has already been presented in this area. This paper proposes a bottom-up routing protocol which specifically takes into account mobility and other unique characteristics of MANETs in order to improve QoS for multimedia streaming. Geographic Predictive Routing (GPR) uses Artificial Neural Networks to accurately predict the future locations of neighbouring devices for making location and mobility-aware routing decisions. GPR is intended as the first step towards creating a fully QoS-aware networking framework for enhancing the performance of multimedia streaming in MANETs. Simulation results comparing GPR against well-established ad-hoc routing protocols such as AODV and DSR show that GPR is able to achieve an improved level of QoS in a variety of multimedia and mobility scenarios.
LanguageEnglish
Pages543-554
JournalPeer-to-Peer Networking and Applications
Volume8
Issue number3
DOIs
Publication statusPublished - 1 May 2015

Fingerprint

Routing protocols
Quality of service
Radio receivers
Mobile devices
Wireless networks
Availability
Neural networks
Costs

Keywords

  • location awareness
  • geographical routing
  • routing
  • networking

Cite this

@article{a1e71f477f3c47db99bd4d076f908e8e,
title = "Towards a location and mobility-aware routing protocol for improving multimedia streaming performance in MANETs",
abstract = "The increasing availability and decreasing cost of mobile devices equipped with WiFi radios has led to increasing demand for multimedia applications in both professional and entertainment contexts. The streaming of multimedia however requires strict adherence to QoS levels in order to guarantee suitable quality for end users. MANETs lack the centralised control, coordination and infrastructure of wireless networks as well as presenting a further element of complexity in the form of device mobility. Such constraints make achieving suitable QoS a nontrivial challenge and much work has already been presented in this area. This paper proposes a bottom-up routing protocol which specifically takes into account mobility and other unique characteristics of MANETs in order to improve QoS for multimedia streaming. Geographic Predictive Routing (GPR) uses Artificial Neural Networks to accurately predict the future locations of neighbouring devices for making location and mobility-aware routing decisions. GPR is intended as the first step towards creating a fully QoS-aware networking framework for enhancing the performance of multimedia streaming in MANETs. Simulation results comparing GPR against well-established ad-hoc routing protocols such as AODV and DSR show that GPR is able to achieve an improved level of QoS in a variety of multimedia and mobility scenarios.",
keywords = "location awareness, geographical routing, routing, networking",
author = "Fraser Cadger and K Curran and JA Santos and Sandra Moffett",
year = "2015",
month = "5",
day = "1",
doi = "10.1007/s12083-014-0280-4",
language = "English",
volume = "8",
pages = "543--554",
journal = "Peer-to-Peer Networking and Applications",
issn = "1936-6442",
number = "3",

}

TY - JOUR

T1 - Towards a location and mobility-aware routing protocol for improving multimedia streaming performance in MANETs

AU - Cadger, Fraser

AU - Curran, K

AU - Santos, JA

AU - Moffett, Sandra

PY - 2015/5/1

Y1 - 2015/5/1

N2 - The increasing availability and decreasing cost of mobile devices equipped with WiFi radios has led to increasing demand for multimedia applications in both professional and entertainment contexts. The streaming of multimedia however requires strict adherence to QoS levels in order to guarantee suitable quality for end users. MANETs lack the centralised control, coordination and infrastructure of wireless networks as well as presenting a further element of complexity in the form of device mobility. Such constraints make achieving suitable QoS a nontrivial challenge and much work has already been presented in this area. This paper proposes a bottom-up routing protocol which specifically takes into account mobility and other unique characteristics of MANETs in order to improve QoS for multimedia streaming. Geographic Predictive Routing (GPR) uses Artificial Neural Networks to accurately predict the future locations of neighbouring devices for making location and mobility-aware routing decisions. GPR is intended as the first step towards creating a fully QoS-aware networking framework for enhancing the performance of multimedia streaming in MANETs. Simulation results comparing GPR against well-established ad-hoc routing protocols such as AODV and DSR show that GPR is able to achieve an improved level of QoS in a variety of multimedia and mobility scenarios.

AB - The increasing availability and decreasing cost of mobile devices equipped with WiFi radios has led to increasing demand for multimedia applications in both professional and entertainment contexts. The streaming of multimedia however requires strict adherence to QoS levels in order to guarantee suitable quality for end users. MANETs lack the centralised control, coordination and infrastructure of wireless networks as well as presenting a further element of complexity in the form of device mobility. Such constraints make achieving suitable QoS a nontrivial challenge and much work has already been presented in this area. This paper proposes a bottom-up routing protocol which specifically takes into account mobility and other unique characteristics of MANETs in order to improve QoS for multimedia streaming. Geographic Predictive Routing (GPR) uses Artificial Neural Networks to accurately predict the future locations of neighbouring devices for making location and mobility-aware routing decisions. GPR is intended as the first step towards creating a fully QoS-aware networking framework for enhancing the performance of multimedia streaming in MANETs. Simulation results comparing GPR against well-established ad-hoc routing protocols such as AODV and DSR show that GPR is able to achieve an improved level of QoS in a variety of multimedia and mobility scenarios.

KW - location awareness

KW - geographical routing

KW - routing

KW - networking

U2 - 10.1007/s12083-014-0280-4

DO - 10.1007/s12083-014-0280-4

M3 - Article

VL - 8

SP - 543

EP - 554

JO - Peer-to-Peer Networking and Applications

T2 - Peer-to-Peer Networking and Applications

JF - Peer-to-Peer Networking and Applications

SN - 1936-6442

IS - 3

ER -