Browsing by Author "Thanachai Thumthawatworn"
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ItemAdaptive Membership Functions for Handover Decision System in Wireless Mobile Network( 2016) Thanachai ThumthawatwornWireless mobile networks in the future are envisioned to demand more intelligent handover decision mechanisms to achieve seamless mobility and services. Fuzzy logic algorithms were proposed to enhance the handover decision process in recent years. However, most proposed algorithms deploy fixed fuzzy membership functions (FMFs). This approach gives an unsatisfactory network selection performance when different traffic types (service options) are required. In this work, we are proposing a new approach to handover decision system (HDS) design. The proposed design incorporates self-tuning of FMFs, which dynamically modifies the FMFs to match the requirements requested. The simulation results show improvements in network selection performance.
ItemEnhanced Fuzzy-based Handover Decision System Design for Wireless Mobile NetworksNumerous fuzzy-based algorithms have been suggested to enhance the intelligence of handover decision system for wireless mobile networks. However, most existing algorithms are based on a monolithic fuzzy engine design resulting in a large algorithm execution time, if a number of decision parameters is large and gives a poorer network selection performance, when dealing with different traffic types. In this paper, an enhanced fuzzy-based handover decision system design is proposed to address the above issues. The proposed design is presented and the simulation results show that the proposed design enhances the network selection performance and reduces the algorithm execution time.
ItemIntelligent Handover Decision Based on Fuzzy Logic for Heterogeneous Wireless NetworksAn intelligent hand over decision system (HDS) is essential to heterogeneous wireless mobile networks in order to fulfill user's expectations in terms of universal and seamless services. With emerging real-time services in heterogeneous networking environment, including multiple QoS parameters in hand over decision process seems essential. In this paper, fuzzy logic is applied to enhance the intelligence of HDS. A new fuzzybased HDS design with the aim to reduce design complexity of fuzzy engine without sacrificing handover decision performance is proposed in the paper. The results show that, compared to non-fuzzy-based (i.e., SAW and AHP) and existing fuzzybased decision techniques, the network selection performance of proposed HDS design is significantly better than SAW and AHP, and is superior to an existing fuzzy-based technique. The proposed HDS design is then enhanced by incorporating an adaptive mechanism enabling a further improvement in terms of the network selection performance.