2015
Stai, E.; Karyotis, V.; Papavassiliou, S.
On the impact of network evolution on NUM resource allocation problems in wireless multihop networks Journal Article
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9143, pp. 62-75, 2015, ISSN: 03029743, (cited By 0; Conference of 14th International Conference on Ad-Hoc Networks and Wireless, ADHOC-NOW 2015 ; Conference Date: 29 June 2015 Through 1 July 2015; Conference Code:157969).
Abstract | Links | BibTeX | Tags: Ad hoc networks; Dynamics; Mobile ad hoc networks; Network layers; Resource allocation; Topology; Wireless networks, Cross-layer design; Network utility maximization; Network utility maximizations (NUM); Optimality; Realistic operational conditions; Resource allocation problem; Topology evolution; Wireless multi-hop network, Wireless ad hoc networks
@article{Stai201562,
title = {On the impact of network evolution on NUM resource allocation problems in wireless multihop networks},
author = {E. Stai and V. Karyotis and S. Papavassiliou},
editor = {Ruehrup S. Papavassiliou S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949024570&doi=10.1007%2f978-3-319-19662-6_5&partnerID=40&md5=9f0317d3b63d47b67de012a4df648216},
doi = {10.1007/978-3-319-19662-6_5},
issn = {03029743},
year = {2015},
date = {2015-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {9143},
pages = {62-75},
publisher = {Springer Verlag},
abstract = {Network churn is one of the primary reasons for network topology evolution, creating a dynamic environment that all designed and developed mechanisms have to cope with. In this work, we focus on studying the impact of network evolution on the resource allocation mechanisms in wireless multihop networks, and thus set the scene for more pragmatic network optimization. More specifically, we study the impact of topology evolution in the form of node and edge churn on the Network Utility Maximization (NUM) mechanism, where the latter is employed as a form of intelligent resource allocation framework and implementation. Our study in this paper serves as a stepping stone for a more realistic consideration of cross-layer design, capable of coping with the dynamic nature of the evolutionary changes that take place in each network inevitably. This work aspires to stimulate the interest and further research on improving and developing network optimization and control mechanisms under more realistic operational conditions. © Springer International Publishing Switzerland 2015.},
note = {cited By 0; Conference of 14th International Conference on Ad-Hoc Networks and Wireless, ADHOC-NOW 2015 ; Conference Date: 29 June 2015 Through 1 July 2015; Conference Code:157969},
keywords = {Ad hoc networks; Dynamics; Mobile ad hoc networks; Network layers; Resource allocation; Topology; Wireless networks, Cross-layer design; Network utility maximization; Network utility maximizations (NUM); Optimality; Realistic operational conditions; Resource allocation problem; Topology evolution; Wireless multi-hop network, Wireless ad hoc networks},
pubstate = {published},
tppubtype = {article}
}
Network churn is one of the primary reasons for network topology evolution, creating a dynamic environment that all designed and developed mechanisms have to cope with. In this work, we focus on studying the impact of network evolution on the resource allocation mechanisms in wireless multihop networks, and thus set the scene for more pragmatic network optimization. More specifically, we study the impact of topology evolution in the form of node and edge churn on the Network Utility Maximization (NUM) mechanism, where the latter is employed as a form of intelligent resource allocation framework and implementation. Our study in this paper serves as a stepping stone for a more realistic consideration of cross-layer design, capable of coping with the dynamic nature of the evolutionary changes that take place in each network inevitably. This work aspires to stimulate the interest and further research on improving and developing network optimization and control mechanisms under more realistic operational conditions. © Springer International Publishing Switzerland 2015.
2011
Anifantis, E.; Karyotis, V.; Papavassiliou, S.
Time-based cross-layer adaptations in wireless cognitive radio ad hoc networks Conference
Corfu, 2011, ISSN: 15301346, (cited By 4; Conference of 16th IEEE Symposium on Computers and Communications, ISCC'11 ; Conference Date: 28 June 2011 Through 1 July 2011; Conference Code:86395).
Abstract | Links | BibTeX | Tags: Computer simulation; Cost benefit analysis; Decision theory; Flow rate; Learning algorithms; Markov processes; Network performance; Optimization; Radio, Wireless ad hoc networks
@conference{Anifantis20111044,
title = {Time-based cross-layer adaptations in wireless cognitive radio ad hoc networks},
author = {E. Anifantis and V. Karyotis and S. Papavassiliou},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-80052767331&doi=10.1109%2fISCC.2011.5983980&partnerID=40&md5=925f8322af534b652bdaf193a6214697},
doi = {10.1109/ISCC.2011.5983980},
issn = {15301346},
year = {2011},
date = {2011-01-01},
journal = {Proceedings - IEEE Symposium on Computers and Communications},
pages = {1044-1049},
address = {Corfu},
abstract = {Secondary ad hoc users of Cognitive Radio networks experience constant fluctuations of their link quality due to dynamic traffic behavior of their primary network counterparts. Several cognitive-aware MAC and routing protocols have been proposed in order to counterfeit properly such spectrum variations. In this paper, we introduce a vertical time-based control mechanism in the traditional protocol stack, aiming at properly balancing the inherent trade-off between instant local adaptations at MAC layer, against slower, but more globally aware rerouting reaction mechanisms. Based on localized and independent node decisions, an optimal feedback policy is proposed in order to exploit the most appropriate protocol layer in each case and provide per link channel assignments, such that flow rate requirements are satisfied with the least cost. We use Markov theory to examine the coexistence of primary and secondary networks, while the optimal decision policy is derived via a Markov Decision Process (MDP) and linear programming. Analysis and simulations are used for performance evaluation and together they confirm that the proposed time-based cross-layer feedback strategy contributes to higher network performance regarding flow rate requirements, sensing and rerouting costs. © 2011 IEEE.},
note = {cited By 4; Conference of 16th IEEE Symposium on Computers and Communications, ISCC'11 ; Conference Date: 28 June 2011 Through 1 July 2011; Conference Code:86395},
keywords = {Computer simulation; Cost benefit analysis; Decision theory; Flow rate; Learning algorithms; Markov processes; Network performance; Optimization; Radio, Wireless ad hoc networks},
pubstate = {published},
tppubtype = {conference}
}
Secondary ad hoc users of Cognitive Radio networks experience constant fluctuations of their link quality due to dynamic traffic behavior of their primary network counterparts. Several cognitive-aware MAC and routing protocols have been proposed in order to counterfeit properly such spectrum variations. In this paper, we introduce a vertical time-based control mechanism in the traditional protocol stack, aiming at properly balancing the inherent trade-off between instant local adaptations at MAC layer, against slower, but more globally aware rerouting reaction mechanisms. Based on localized and independent node decisions, an optimal feedback policy is proposed in order to exploit the most appropriate protocol layer in each case and provide per link channel assignments, such that flow rate requirements are satisfied with the least cost. We use Markov theory to examine the coexistence of primary and secondary networks, while the optimal decision policy is derived via a Markov Decision Process (MDP) and linear programming. Analysis and simulations are used for performance evaluation and together they confirm that the proposed time-based cross-layer feedback strategy contributes to higher network performance regarding flow rate requirements, sensing and rerouting costs. © 2011 IEEE.
2006
Karyotis, V.; Papavassiliou, S.; Maglaris, B.
Institute of Electrical and Electronics Engineers Inc., 2006, ISBN: 9783800729616, (cited By 1; Conference of 12th European Wireless Conference on Enabling Technologies for Wireless Multimedia Communications, European Wireless 2006 ; Conference Date: 2 April 2006 Through 5 April 2006; Conference Code:114330).
Abstract | Links | BibTeX | Tags: Ad hoc networks; Internet; Mobile ad hoc networks; Multimedia systems; Network security; Stochastic systems; Telecommunication networks, Dynamic characteristics; Energy-constrained; In-depth understanding; Model and simulation; Operational characteristics; Statistical approach; Stochastic nature; Transmission radius, Wireless ad hoc networks
@conference{Karyotis2006,
title = {Modeling framework for the study and analysis of mobile attack propagation in wireless ad-hoc networks},
author = {V. Karyotis and S. Papavassiliou and B. Maglaris},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946234997&partnerID=40&md5=d93e77cc1fd88d269d8f3741b7ab4309},
isbn = {9783800729616},
year = {2006},
date = {2006-01-01},
journal = {12th European Wireless Conference 2006 - Enabling Technologies for Wireless Multimedia Communications, European Wireless 2006},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Independent-operating attacks in modern communication networks have become increasingly popular, affecting significantly the performance of these networks and causing major systems to fail. In this paper, we introduce and design a modeling framework that allows for the study and analysis of mobile attack propagation in wireless ad-hoc networks. Specifically, we study probabilistically the propagation of a worm in a wireless ad-hoc network, in which an energyconstrained malicious node can move freely in the deployment region of the network. The choice of a statistical approach of the problem is motivated by the dynamic characteristics of the ad-hoc topology and the stochastic nature of the worm propagation. Through modeling and simulation, we studied and evaluated the impact of various parameters associated with the operational characteristics of the mobile attack node-such as transmission radius, mobility, energy-on an outbreak spreading and the evolution of the network, and obtained an in-depth understanding of the importance of these parameters both from the network's and the attacker's perspectives.},
note = {cited By 1; Conference of 12th European Wireless Conference on Enabling Technologies for Wireless Multimedia Communications, European Wireless 2006 ; Conference Date: 2 April 2006 Through 5 April 2006; Conference Code:114330},
keywords = {Ad hoc networks; Internet; Mobile ad hoc networks; Multimedia systems; Network security; Stochastic systems; Telecommunication networks, Dynamic characteristics; Energy-constrained; In-depth understanding; Model and simulation; Operational characteristics; Statistical approach; Stochastic nature; Transmission radius, Wireless ad hoc networks},
pubstate = {published},
tppubtype = {conference}
}
Independent-operating attacks in modern communication networks have become increasingly popular, affecting significantly the performance of these networks and causing major systems to fail. In this paper, we introduce and design a modeling framework that allows for the study and analysis of mobile attack propagation in wireless ad-hoc networks. Specifically, we study probabilistically the propagation of a worm in a wireless ad-hoc network, in which an energyconstrained malicious node can move freely in the deployment region of the network. The choice of a statistical approach of the problem is motivated by the dynamic characteristics of the ad-hoc topology and the stochastic nature of the worm propagation. Through modeling and simulation, we studied and evaluated the impact of various parameters associated with the operational characteristics of the mobile attack node-such as transmission radius, mobility, energy-on an outbreak spreading and the evolution of the network, and obtained an in-depth understanding of the importance of these parameters both from the network's and the attacker's perspectives.