Data rates in wireless networks grow approximately by a factor of 10 every 5 years and this together with the increase in the number of users, results in a doubling of the energy requirements of the wireless networks infrastructure every 4 to 5 years. This book considers minimizing the energy consumption of wireless access networks through switching on and off and adjusting the transmitted power of wireless network devices according to realistic traffic patterns. Author propose an optimization approach based on the development of integer linear programming (ILP) models that minimize the energy consumption of the whole network, whilst ensuring sufficient area coverage and capacity for guaranteed quality of service. Obtained results show that remarkable energy savings of up to 50% can be achieved by the proposed network management strategies. To cope with the problem of high computational time characteristics of some ILP models, heuristic algorithms based on greedy methods and local search have been developed. Each of the heuristic algorithms ensures the minimization of network energy consumption within a reasonable amount of time, making them applicable for practical implementation.
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Data rates in wireless networks grow approximately by a factor of 10 every 5 years and this together with the increase in the number of users, results in a doubling of the energy requirements of the wireless networks infrastructure every 4 to 5 years. This book considers minimizing the energy consumption of wireless access networks through switching on and off and adjusting the transmitted power of wireless network devices according to realistic traffic patterns. Author propose an optimization approach based on the development of integer linear programming (ILP) models that minimize the energy consumption of the whole network, whilst ensuring sufficient area coverage and capacity for guaranteed quality of service. Obtained results show that remarkable energy savings of up to 50% can be achieved by the proposed network management strategies. To cope with the problem of high computational time characteristics of some ILP models, heuristic algorithms based on greedy methods and local search have been developed. Each of the heuristic algorithms ensures the minimization of network energy consumption within a reasonable amount of time, making them applicable for practical implementation.
Josip Lorincz received the PhD degree in telecommunications engineering and computer science from the University of Split, Croatia in 2010. In 2003 he joined FESB where he currently works as Assistant Professor. He was leader on projects and author of several journal and conference papers in the field of energy-efficient networking and computing.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data rates in wireless networks grow approximately by a factor of 10 every 5 years and this together with the increase in the number of users, results in a doubling of the energy requirements of the wireless networks infrastructure every 4 to 5 years. This book considers minimizing the energy consumption of wireless access networks through switching on and off and adjusting the transmitted power of wireless network devices according to realistic traffic patterns. Author propose an optimization approach based on the development of integer linear programming (ILP) models that minimize the energy consumption of the whole network, whilst ensuring sufficient area coverage and capacity for guaranteed quality of service. Obtained results show that remarkable energy savings of up to 50% can be achieved by the proposed network management strategies. To cope with the problem of high computational time characteristics of some ILP models, heuristic algorithms based on greedy methods and local search have been developed. Each of the heuristic algorithms ensures the minimization of network energy consumption within a reasonable amount of time, making them applicable for practical implementation. 208 pp. Englisch. N° de réf. du vendeur 9783659121203
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data rates in wireless networks grow approximately by a factor of 10 every 5 years and this together with the increase in the number of users, results in a doubling of the energy requirements of the wireless networks infrastructure every 4 to 5 years. This book considers minimizing the energy consumption of wireless access networks through switching on and off and adjusting the transmitted power of wireless network devices according to realistic traffic patterns. Author propose an optimization approach based on the development of integer linear programming (ILP) models that minimize the energy consumption of the whole network, whilst ensuring sufficient area coverage and capacity for guaranteed quality of service. Obtained results show that remarkable energy savings of up to 50% can be achieved by the proposed network management strategies. To cope with the problem of high computational time characteristics of some ILP models, heuristic algorithms based on greedy methods and local search have been developed. Each of the heuristic algorithms ensures the minimization of network energy consumption within a reasonable amount of time, making them applicable for practical implementation. N° de réf. du vendeur 9783659121203
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data rates in wireless networks grow approximately by a factor of 10 every 5 years and this together with the increase in the number of users, results in a doubling of the energy requirements of the wireless networks infrastructure every 4 to 5 years. This book considers minimizing the energy consumption of wireless access networks through switching on and off and adjusting the transmitted power of wireless network devices according to realistic traffic patterns. Author propose an optimization approach based on the development of integer linear programming (ILP) models that minimize the energy consumption of the whole network, whilst ensuring sufficient area coverage and capacity for guaranteed quality of service. Obtained results show that remarkable energy savings of up to 50% can be achieved by the proposed network management strategies. To cope with the problem of high computational time characteristics of some ILP models, heuristic algorithms based on greedy methods and local search have been developed. Each of the heuristic algorithms ensures the minimization of network energy consumption within a reasonable amount of time, making them applicable for practical implementation.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 208 pp. Englisch. N° de réf. du vendeur 9783659121203
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Optimizing energy consumption of wireless access networks | Towards energy-efficient networking and computing | Josip Lorincz | Taschenbuch | 208 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659121203 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 106418065
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