#### Pregled bibliografske jedinice broj: 478629

## Energy consumption optimization of wireless communication networks using mathematical programming methods

Energy consumption optimization of wireless communication networks using mathematical programming methods, 2010., doktorska disertacija, FESB-Fakultet elektrotehnike, strojarstva i brodogradnje u Splitu, Split

**Naslov**

Energy consumption optimization of wireless communication networks using mathematical programming methods

**Autori**

Lorincz, Josip ;

**Vrsta, podvrsta i kategorija rada**

Ocjenski radovi, doktorska disertacija

**Fakultet**

FESB-Fakultet elektrotehnike, strojarstva i brodogradnje u Splitu

**Mjesto**

Split

**Datum**

16.07

**Godina**

2010

**Stranica**

195

**Mentor**

Begušić, Dinko ;

**Neposredni voditelj**

Capone, Antonio ;

**Ključne riječi**

Energy savings; wireless; optimization; management; green networking; power

**Sažetak**

The energy consumption of wireless access networks is rapidly increasing and in some countries it amounts for more than 55% of the whole communication sector, also accounting to a non negligible part of the operational costs of mobile operators. Growth of data rates in wireless networks by a factor of roughly 10 every 5 years and increase in the number of users, results in a doubling of the energy consumption of wireless networks infrastructure every 4-5 years. This thesis considers the problem of 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. We propose an optimization approach based on development of ILP models that minimize energy consumption of whole network while ensuring area coverage and enough capacity for guaranteeing quality of service. Proposed models capture system characteristics considering different management constraints that can be based on traffic requirements and application scenarios. Energy minimization problems are solved to the optimum or with a gap to the optimum of less than 3% on a set of network instances which sizes and number of network elements corresponds to real ones. Obtained results show that remarkable energy savings, up to 50% can be yielded with the proposed network management strategies. To cope with the problem of high computational time characteristic for some ILP models, we have developed own heuristic algorithms based on greedy methods and local search. Although heuristics results have been up to 10% higher in comparison to the ones obtained for ILP models, each of heuristic algorithms ensures minimization of network energy consumption in reasonable amount of time. This makes heuristics algorithms applicable for practical implementation in real network management systems.

**Izvorni jezik**

Engleski

**Znanstvena područja**

Elektrotehnika, Računarstvo

**POVEZANOST RADA**

**Projekt / tema**

023-0231924-1660 - NAPREDNE HETEROGENE MREŽNE TEHNOLOGIJE (Dinko Begušić, )

Projekt NZZ: I-1603-2009.

Projekt UKF: 533-08-09-0001

**Ustanove**

Fakultet elektrotehnike, strojarstva i brodogradnje, Split