# An Optimized Load Balance Solution for Multi-homed Host in Heterogeneous Wireless Networks
## 4 Model Simulation and Analysis
### Simulation Results and Analysis
#### 4.2.1 Multiple Attribute Decision Making  
A large number of alternative approaches based on multiple attributes have been devised in the literature to choose from multiple connections. Those approaches are using MADM methods. The AHP algorithm is compared to other algorithms namely, TOPSIS, and SAW to investigate which of them provide a suitable ranking for the proposed system model. To examine the impact of multiple connections ranking, we tested each algorithm against every application class as illustrated in Figure 7.  
After evaluating the performance of the three-load balance MADM algorithms based upon different application class, i.e. social media, multimedia-and-gaming, web, and system applications, we can summarize the performance of three algorithms based on Figure 7 as follows:  
(a) In case of social media, it is found that is the best algorithm for the load balance solution is the AHP as it provides satisfactory performance over multiple connections, which is beneficial for data distribution, while SAW and TOPSIS are more applicable in traffic handoff or handover solution.  
(b) In case of multimedia and gaming, it is found that is the best algorithm for the load balance solution is the AHP as it provides satisfactory performance over multiple connections, which is beneficial for data distribution, while SAW and TOPSIS are more applicable in traffic handoff or handover solution.  
Figure 7: Performance analysis of three MADM methods.  
(c) In case of the web application, it is observed that is the best algorithms for the load balance solution are the AHP and TOPSIS as both provide satisfactory performance over multiple connections, which is beneficial for data distribution, while SAW is more applicable in traffic handoff or handover solution.  
(d) In case of system application, it is deduced that is the best algorithms for the load balance solution are TOPSIS and AHP as they provide satisfactory performance over multiple connections, which is beneficial for data distribution, while SAW is more applicable in traffic handoff or handover solution.  
Based on the evaluation of the three MADM methods and the comparison result carried out in the related work section, we may conclude that that AHP is the best decision method for load balance solution over multiple connections. The AHP also has some advantages such as being a hierarchy in process, and the consistency check of its numerical calculations, which make from it relevant to be selected. The evaluation illustrated that the AHP is suitable for load balance solution for its satisfactory ranking distribution. However, TOPSIS and SAW are efficient in handover solution for their ranking based on building close results in the ranking process and build their interest to highlight the best which makes from it more suitable for handover solutions.  
As the AHP is found to be the most suitable MADM algorithm for achieving unequal load balance distribution, it will next be embedded in the proposed system model as the selected MADM method to further test its performance on the attributes selected for various application classes.