A Vertical Handover Decision Approaches in Next Generation Wireless Networks: A Survey

Abstract

In next generation wireless network the most desirable feature is its ability to move seamlessly over various access network regardless of the network infrastructure is used. The handover between these dissimilar networks can be explored by using vertical handover algorithms. This paper focuses on the vertical handover decision methods and algorithms effectiveness. Most of the algorithms which are based on RSS values provide vertical handover with small delay at a lower rate of throughput. There are such algorithms which provide significant improvements in throughput but at a cost of higher delays. As per the need for the real time applications in next generation wireless networks there is a requirement of developing new optimized algorithms that are able to produce high throughput and minimizing signalling cost and delay.

New Manhattan distance‐based fuzzy MADM method for the network selection

“…3G and Wi-Fi). In [21], the authors present a survey of VH decision approaches using different methods, such as the basic algorithms, based on the sensed network conditions, the cost function that can aggregate more than one condition, the MADM methods, the artificial intelligence and neural networks algorithms, and context-aware algorithms. They also outlined the requirements for developing new optimised algorithms that could minimise the signalling cost and packet delay, very desired in real-time applications.…”

A Use of Fuzzy TOPSIS to Improve the Network Selection in Wireless Multiaccess Environments

“…In [12], the authors present a classification of the existing architectures dealing with the mobility management in IPv4, as well as in IPv6 environments, following the used techniques to solve this issue, and they list the measurements and desired criteria to consider in comparing these strategies. In [13], the authors present a survey of network selection approaches, such as basic schemes, based on one metric, cost and utility functions that aggregate more than one attribute, MADM methods, neural network algorithms, and context-aware strategies. ey also outline the requirements for developing enhanced architectures, which could minimize the signaling cost and packet delay for real-time applications.…”

Rank Average for handover decision making in heterogeneous wireless networks

“…The usual policy of VH decision is based on Radio Signal Strength (RSS). Several RSS based algorithms have been suggested [9]. These simple implementations provide low handover latency but a low to medium throughput.…”

“…Various VH algorithms [8] have been proposed. The usual policy of VH decision is based on Radio Signal Strength (RSS).…”

“…The application of these complicated algorithms is necessitated by the complexity of handover decisions and wireless networks dynamic conditions. The Context-Aware [9] handovers are based on informations related to the Mobile Terminal (MT), network, and other contextual factors. These informations can include the network capacity, location, subscriber preferences, type of service, etc.…”