Hye-jin Kim

TL;DR: An Enhanced Power Efficient Gathering in Sensor Information Systems (EPEGASIS) algorithm is proposed to alleviate the hot spots problem from four aspects: optimal communication distance is determined, threshold value is set to protect the dying nodes, mobile sink technology is used to balance the energy consumption among nodes, and extensive experiments have been performed.

TL;DR: Extensive simulation results show that the energy consumption is much reduced, the network lifetime is prolonged, and the transmission delay is reduced in the proposed routing algorithm than some other popular routing algorithms.

TL;DR: A special clustering method called Energy Centers Searching using Particle Swarm Optimization (EC-PSO) is presented to avoid these energy holes and search energy centers for CHs selection and outperforms than some similar works in terms of network lifetime enhancement and energy utilization ratio.

TL;DR: An intelligent data gathering schema with data fusion called IDGS-DF, which adopts a neural network to conduct data fusion to improve network performance and can efficiently conserve energy and enhance the lifetime of the network.

TL;DR: Simulation results prove the presented schema outperforms some similar work such as Cluster-Chain Mobile Agent Routing (CCMAR) and Energy-efficient Cluster-based Dynamic Routing Algorithm (ECDRA) and the influence of different network parameters on the performance of the network and further enhance its performance.