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This paper proposes an optimized topology control scheme (GA-OTC) based on a genetic algorithm for clustering-based hierarchical wireless sensor networks (WSNs). By using a genetic algorithm, we can obtain optimal solutions to multiple objective functions according to the two criteria of both balanced energy consumption and minimized total energy consumption of cluster heads while the entire WSNs field is covered by clusters. Through performance evaluation studies, we show that GA-OTC achieves desirable properties. [ABSTRACT FROM AUTHOR]

Vertical handoff will be essential for the next generation heterogeneous wireless networks. We propose an Adaptive Vertical Handoff Decision Scheme called UbiComm to avoid unbeneficial handoffs in the integrated WiBro and WLAN networks. If the mobile node (MN)'s velocity is high and moving pattern is irregular, more unnecessary handoffs can occur. Therefore, MN's velocity and moving pattern are the important factors of our handoff decision scheme. In order to avoid unbeneficial handoff the UbiComm adjusts the dwell time adaptively, and it also predicts the residence time in the target network. In addition, UbiComm's adaptive dwell timer makes a MN receive service of a better network as long as possible. The simulation results show that the reduction of unnecessary handoffs proposed in UbiComm improves the MN's throughput. [ABSTRACT FROM AUTHOR]