User preferences and expert opinions based vertical handoff decision strategy with the inclusion of cost parameter for 4G networks

Author(s):  
Dhanaraj Cheelu ◽  
M. Rajasekhara Babu ◽  
P. Venkatakrishna ◽  
X.Z. Gao
2014 ◽  
Vol 989-994 ◽  
pp. 1464-1468
Author(s):  
Yang Tao ◽  
Kun Zhou

In the next generation of heterogeneous wireless network environment, to meet the network requirements of diverse services ,we propose a vertical handoff decision algorithm based on QoS evaluation that refine the handover unit to services. The proposed algorithm consider the needs of the services、 network conditions、 user preferences and other factors, and makes Analytic Hierarchy Process (AHP) and cost function combine to choose the target network that is best meet the requirements of services . Comparing with the vertical handoff decision based on RSS, simulation results show that the proposed method can take full account of the different QoS requirements of various services types to choose the appropriate network, and would not cause performance degradation.


2021 ◽  
Author(s):  
Claus Rinner ◽  
Martin Raubal

Location-based services (LBS) assist people in decision-making during the performance of tasks in space and time. Current LBS support spatial and attribute queries, such as finding the nearest Italian restaurant from the current location of the user, but they are limited in their capacity to evaluate decision alternatives and to consider individual decision-makers’ user preferences. We suggest that LBS should provide personalized spatial decision support to their users. In a prototype implementation, we demonstrate how user preferences can be translated into parameters of a multi-criteria evaluation method. In particular, the Ordered Weighted Averaging (OWA) operator allows users to specify a personal decision strategy. A traveler scenario investigating the influence of different types of users and different decision strategies on the outcome of the analysis serves as a case study.


The transition from 3G to 4G has been a gradual process all these years and in developing countries like India, the change has to span even longer. Eventually, at lot of places while moving we come across signal variations which force the handoff to be decided. The handoff may be vertical or horizontal but it has to be seamless and service continuity cant be ignored anytime. This research proposes a handoff mechanism which takes certain parameters like RSS, node-speed, network cost, network latency, bandwidth and throughput before deciding the handover. This research does a simulation in MATLAB to analyze the effect of these parameters on handover decision both in homogenous and heterogeneous networks. The simulation virtualizes a scenario where a node moving in a geographical region experiences multiple handoffs both vertical and horizontal, based on the above-mentioned parameters. The simulation successfully proves that the proposed methodology performs seamless vertical and horizontal handoffs. The simulation is performed on two different scenarios where the former does handoff between 3G and 4G networks (vertical handoff) and the latter takes a WIMAX and 4G LTE network into consideration. The results are presented in terms of RSSI, throughput and bandwidth and performance of LTE is compared with 3G & WIMAX technique. The performance of the technique has been represented graphically each graph showing variation in handoff decisions for different values of a particular parameter


2021 ◽  
Author(s):  
Claus Rinner ◽  
Martin Raubal

Location-based services (LBS) assist people in decision-making during the performance of tasks in space and time. Current LBS support spatial and attribute queries, such as finding the nearest Italian restaurant from the current location of the user, but they are limited in their capacity to evaluate decision alternatives and to consider individual decision-makers’ user preferences. We suggest that LBS should provide personalized spatial decision support to their users. In a prototype implementation, we demonstrate how user preferences can be translated into parameters of a multi-criteria evaluation method. In particular, the Ordered Weighted Averaging (OWA) operator allows users to specify a personal decision strategy. A traveler scenario investigating the influence of different types of users and different decision strategies on the outcome of the analysis serves as a case study.


2010 ◽  
pp. 1790-1811
Author(s):  
Nidal Nasser ◽  
Tarek Bejaoui

Major research challenges in the next generation of wireless networks include the provisioning of worldwide seamless mobility across heterogeneous wireless networks, the improvement of end-to-end Quality of Service (QoS), supporting multmedia services over wide area and enabling users to specify their personal preferences. The integration and interoperability of this multitude of available networks will lead to the emergence of the fourth generation (4G) of wireless technologies. 4G wireless technologies have the potential to provide these features and many more, which at the end will change the way we use mobile devices and provide a wide variety of new applications. However, such technology does not come without its challenges. One of these challenges is the user’s ability to control and manage handoffs across heterogeneous wireless networks. This chapter proposes a solution to this problem using Artificial Neural Networks (ANNs). The proposed method is capable of distinguishing the best existing wireless network that matches predefined user preferences set on a mobile device when performing a vertical handoff. The overall performance of the proposed method shows 87.0 % success rate in finding the best available wireless network.


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