naa a22 4500 510792308 CHVBK 20180411083324.0 cr unu---uuuuu 180411e20130801xx s 000 0 eng 10.1007/s11277-012-0944-4 doi (NATIONALLICENCE)springer-10.1007/s11277-012-0944-4 Artificial Neural Network Based Vertical Handoff Algorithm for Reducing Handoff Latency [Elektronische Daten] [Ali Çalhan, Celal Çeken] One of the most challenging topics for next generation wireless networks is vertical handoff concept since several wireless technologies are assumed to cooperate. Plenty of parameters related to user preferences, application requirements, and network conditions, such as; data rate, service cost, network latency, speed of mobile, battery level, interference ratio and etc. must be considered in vertical handoff process along with traditional RSSI information. In this study, a new artificial neural network based handoff decision algorithm is proposed in order to reduce the handoff latency of smart terminal deployed in aforementioned wireless heterogeneous infrastructures. The prominent parameters data rate, monetary cost and RSSI information are taken as inputs of the developed vertical handoff decision system. Performance results of the proposed system are also compared with those of classical Multiple Attribute Decision Making method Simple Additive Weighting, and of some other artificial intelligence based algorithms. According to the results obtained, the proposed neural network based vertical handoff decision algorithm is able to determine whether a handoff is necessary or not properly, and selects the best candidate access network considering the abovementioned parameters. The results also show that, the neural network based algorithm developed significantly reduces the handoff latency while the number of handoffs, which is another vital performance metric, is still reasonable. Springer Science+Business Media New York, 2012 Vertical handoff nationallicence Artificial neural networks nationallicence Handoff latency nationallicence Complexity analysis nationallicence Çalhan Ali Computer Engineering Department, Technology Faculty, Duzce University, 81620, Düzce, Turkey aut Çeken Celal Computer Engineering Department, Faculty of Computer and Information Sciences, Sakarya University, 54187, Sakarya, Turkey aut Wireless Personal Communications Springer US; http://www.springer-ny.com 71/4(2013-08-01), 2399-2415 0929-6212 71:4<2399 2013 71 11277 https://doi.org/10.1007/s11277-012-0944-4 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-012-0944-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Çalhan Ali Computer Engineering Department, Technology Faculty, Duzce University, 81620, Düzce, Turkey aut NATIONALLICENCE 700 1- Çeken Celal Computer Engineering Department, Faculty of Computer and Information Sciences, Sakarya University, 54187, Sakarya, Turkey aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 71/4(2013-08-01), 2399-2415 0929-6212 71:4<2399 2013 71 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer