Abstract
In a heterogeneous wireless network, handover techniques are designed to facilitate anywhere/anytime service continuity for mobile users. Consistent best-possible access to a network with widely varying network characteristics requires seamless mobility management techniques. Hence, the vertical handover process imposes important technical challenges. Handover decisions are triggered for continuous connectivity of mobile terminals. However, bad network selection and overload conditions in the chosen network can cause fallout in the form of handover failure. In order to maintain the required Quality of Service during the handover process, decision algorithms should incorporate intelligent techniques. In this paper, a new and efficient vertical handover mechanism is implemented using a dynamic programming method from the operation research discipline. This dynamic programming approach, which is integrated with the Technique to Order Preference by Similarity to Ideal Solution (TOPSIS) method, provides the mobile user with the best handover decisions. Moreover, in this proposed handover algorithm a deterministic approach which divides the network into zones is incorporated into the network server in order to derive an optimal solution. The study revealed that this method is found to achieve better performance and QoS support to users and greatly reduce the handover failures when compared to the traditional TOPSIS method. The decision arrived at the zone gateway using this operational research analytical method (known as the dynamic programming knapsack approach together with Technique to Order Preference by Similarity to Ideal Solution) yields remarkably better results in terms of the network performance measures such as throughput and delay.
Highlights
Next-generation heterogeneous networks support an interoperability environment that demands seamless mobility management
The literature reveals that various metrics such as signal strength, bandwidth, bit error rate, power consumption, and cost evaluation to determine the selection of a candidate network
Design of the required Quality of Services (QoS)-aware vertical handover decision algorithm is another major concern in such a scenario
Summary
Next-generation heterogeneous networks support an interoperability environment that demands seamless mobility management. The literature reveals that various metrics such as signal strength, bandwidth, bit error rate, power consumption, and cost evaluation to determine the selection of a candidate network These metrics might be suitable when horizontal handoffs are initiated but become insufficient to trigger vertical handoffs due to different system characteristics. Various mobility management strategies for QoS support designed in the literature are based on mobile-controlled handoff Such a design cannot select the best network for mobile devices because the device has limited power and limited information on the networks. The goals of the proposed work are to reduce handover failures and to derive the required QoS support based on network controlled handoff for heterogeneous networks.
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