A Novel Candidate Network Selection Based Handover Management with Fuzzy Logic in Heterogeneous Wireless Networks

Seamless and ubiquitous connections are the ultimate aims of 4G era. But due to high mobility of users and different service class of applications, the connection failure rate is found to be high in mobile networks. This can be overcome by the handover (both horizontal and vertical), which plays a vital role in ensuring the QoS assured connections of user satisfaction. With the increased number of handovers, networks scanned for decision making and the negotiations for connectivity become too large. To improve their efficiency, only the qualified numbers among all the reachable access points are chosen as candidate networks for decision making. Handover decision is performed by choosing the appropriate time and the most suitable access network according to user preferences. The accurate measurement of the network parameters in a wireless environment is a difficult task because of vagueness. Fuzzy logic based technique performs efficient handoff necessity estimation and target selection. Proposed model is capable of performing handoffs in case of degraded QoS, and if certain other conditions, such as unavailability of a channel, Weak RSS. The proposed model concentrates in increasing the resource utilization for ensuring higher number of successful connections and lesser number of call blocking and dropping.