Network Selection Algorithm for Multiservice Multimode Terminals in Heterogeneous Wireless Networks

Abstract

The rapid popularization of multimode terminals that simultaneously run multiple services (such as browsing web pages during a video session) has brought a decent amount of attention to the network selection problem of multimode terminals. However, most network selection algorithms proposed for vertical handoff are only suitable for terminals running a single service. This paper proposes a network selection algorithm for multiservice multimode terminals in heterogeneous wireless networks. The algorithm considers user preferences, network attributes, and service characteristics. Entropy and fuzzy analytic hierarchy process (FAHP) are used to calculate the objective weights of the network attributes and the weights determined by the service characteristics, respectively. The comprehensive weights of network attributes are obtained by combining the user preferences and service priority. At the same time, different utility functions are used to calculate the utility values of the network attributes for multiservice. Finally, the simple additive weighting (SAW) method is used to synthesize the utility values and the comprehensives weights, while the most appropriate network is selected by a technique for order preference by similarity to an ideal solution (TOPSIS) and a threshold. The simulation results show that the proposed algorithm can accurately select the most appropriate network by considering different factors. Compared to the existing two MMT network selection algorithms, it can reduce the number of vertical handovers and obtain better user experience while satisfying user's preferences and service's requirements, thus solving the multiservice multimode terminals network selection problem.

Mobility-Aware Seamless Handover With MPTCP in Software-Defined HetNets

“…Current studies on network selection for handover [8]- [20] mainly focused on guaranteeing multiservice QoS requirements and satisfying user preferences for diverse services. The works in [8], [9] constructed the network selection problem as a game theory model, where mobile users selected the target network based on the utility function considering several factors, such as user's utility and channel allocation.…”

“…However, the values of network attributes were not quantified. The works in [17]- [20] used group decision making methods to determine the weights of different attributes for decisions. The work in [20] proposed a comprehensive network selection algorithm based on the fuzzy analytic hierarchy process (FAHP), which considered both user preferences and service QoS requirements.…”

Multi-Attribute Access Selection Algorithm for Heterogeneous Wireless Networks Based On Uncertain Network Attribute Values

“…In general, the number of handoffs caused by the proposed algorithm is lower than those caused by the other three algorithms under different applications. According to the definition of "Unnecessary Handoff" given in Literature [33], the number of unnecessary handoffs caused by each algorithm under different applications is counted. Under the applications of voice, video, and data, the number of unnecessary handoffs between different networks caused by the proposed algorithm is about 50, and Index gain is a measure of user satisfaction in the access selection process.…”

Adaptive Multipath Selection-Based Markov Chain in the Heterogeneous Internet of Things

“…e SAW, which is widely used in the recent research studies [31,39], is one of the methods of MADM. And the ISRO_PG based on the game theory is also widely used in the recent research studies for the network selection problems [40,41].…”