In addition, all common micro, macro and global mobility management protocols are classified and discussed. Furthermore, we also developed the analytical model of the space time coding technique to achieve antenna diversity gain. The aim of this controller is to create a universal state machine where the states correspond to different MCS and states can be changed adaptively based on throughput, channel condition and node mobility.
The algorithm checks whether the visitor network available or not, if visitor network is available ,it will broadcast required parameters such as packet delay, jitter, packet loss and bandwidth etc.
Otherwise mobile terminal will stay back in the current network i. If the visitor network is available for the given mobile terminal, the score of each candidate network is calculated as follows: M is number of network.
The candidate network having maximum score is selected and the mobile terminal sends request to the base station of the candidate network. Mobile terminal gets register to the base station of the candidate network having maximum score.
Mobile terminal gets switched to the network having maximum score as per the formula mentioned above. In the proposed selective algorithm, handoff metrics such as delay, bandwidth, cost, BER bit error ratetrust level etc are included. The weight for attribute in our experiment is taken as 0.
However, weights for delay, bandwidth, BER may be taken 0. Here, two parameters are taken into consideration i. RSS and Bandwidth as an input for neural network. And Bandwidth samples for Cellular network are Using Levenberg-Marquardt method for ANN, samples are used for training, 38 samples for validation and 38 samples for testing.
As Levenberg-Marquardt method is fast, training period will be much reduced. The performance for the method is measured in terms of mean squared error msewhich is 3. Using the method, ping pong effect and training time are reduced.
The Levenberg marquardt algorithm was developed by Kenneth Levenberg and Donald marquardt. This algorithm provides a numerical solution to the problem of minimizing a non-linear function.
It is fast and has stable convergence. The Levenberg marquardt algorithm blends the steepest descent method and Gauss Newton algorithm. At the same time it inherits the speed advantage of the Gauss-Newton algorithm and the stability of the steepest descent method.
Chapter-5 Results and discussion 5. Various graphs have been plotted on 1. Packet Delay Vs Number of Handoffs 2. Jitter Vs Number of Handoffs. Results for 10 iterations are also shown. The networks selected using the proposed variance based algorithms are as follow: These results are obtained for voice connections.
Which means that for voice connections, the proposed algorithm performs better as far as packet delay is concerned.
Packet delay for various algorithms for each handoff instance is given tabular form. From which it can be inferred that for voice connections, the proposed algorithm performs better as far as Jitter is concerned.
Jitter for various algorithms for each handoff instance is given tabular form.
Here, the Performance for iteration is quite poor as far as bandwidth is concerned for the proposed variance based algorithm.Thesis Title: Vertical Handoff in Hybrid Mobile Networks based on Self - Organization H. Karimiyan Alidash Assistant Prof., ECE Dept.
of Kashan University Thesis Title: Low-Power State-Retention Standard-Cell Flip-Flop Desig. This paper did a research on UMTS/WALN vertical handoff based on MSCTP(Mobile SCTP) and MSIP(Mobile SIP), analyzed the latency caused by wireless transmission of handoff control signal.
The analysis proved that the wireless transmission delay have a great influence on handoff latency. This thesis, written by Mukesh Ramalingam and entitled Vertical Handoff Target Selection in a Heterogeneous Wireless Network using Fuzzy ELECTRE, having been approved in respect to style and intellectual content, is referred to you for judgment.
Vertical Handover in Heterogeneous Network Thesis is handled by our extraordinary technical team those have spent their life for research in this field.
Thesis can be defined as “ detailed idea over a particular field to resolve an existing problem / issue ”.
Ben-Jye Chang, Shu-Yu Lin, Ying-Hsin Liang, Minimizing roaming overheads for vertical handoff in heterogeneous wireless mobile networks, Proceedings of the international conference on Wireless communications and mobile computing, July , , Vancouver, British Columbia, Canada.
S. Kunarak and R. Suleesathira, “Vertical handoff decision and network merit for integrated wireless and mobile networks,” in Proceedings of the Australasian Telecommunication Networks And Applications Conference (ATNAC '11), pp. 1–6, Melbourne, Australia, November