Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Dynamic fine-grained localization in Ad-Hoc networks of sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
Generic adaptive handoff algorithms using fuzzy logic and neural networks
Generic adaptive handoff algorithms using fuzzy logic and neural networks
A pattern recognition system for handoff algorithms
IEEE Journal on Selected Areas in Communications
Application of 3G PCS technologies to rapidly deployable mobile networks
IEEE Network: The Magazine of Global Internetworking
QoS provisioning by EFuNNs-based handoff planning in cellular MPLS networks
Computer Communications
Computer Networks: The International Journal of Computer and Telecommunications Networking
An Optimum Vertical Handoff Decision Algorithm Based on Adaptive Fuzzy Logic and Genetic Algorithm
Wireless Personal Communications: An International Journal
Agent assisted mobility and load aware fast handoff scheme in wireless mesh networks
International Journal of Internet Protocol Technology
Case study on handoff strategies for wireless overlay networks
Computer Standards & Interfaces
Artificial Neural Network Based Vertical Handoff Algorithm for Reducing Handoff Latency
Wireless Personal Communications: An International Journal
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In this paper a novel handoff decision algorithm for the mobile subsystem of tactical communications systems is introduced. In this algorithm, handoff decision metrics are: received signal strength measurements from the access points, the ratio of the used capacity to the total capacity for the access points, and relative directions and speeds of the mobiles to the access points. We use a fuzzy inference system to process these metrics. We also introduce a "membership value" to represent the degree of membership of a mobile to an access point and "membership value threshold" to represent the minimum membership value before a mobile considers handing off to another access point. We compare our algorithm with the received-signal strength-based handoff decision algorithms. Our tests have shown that the proposed scheme, with the lowest membership value threshold, achieves the minimum number of handoffs, and the proposed scheme with the highest membership value threshold achieves the minimum call blocking rate.