The agenda for the seminar this week is listed below.
Speaker: Liumeng Song
Title: QPSO-based Energy-aware Clustering Scheme in the Capillary Networks for Internet of Things Systems
Energy efficiency is a crucial challenge in cluster-based capillary networks for Internet of Things (IoT) systems, where the cluster heads (CHs) selection has great impact on the network performance. It is an optimization problem to find the optimum number of CHs as well as which devices are selected as CHs. In our research, we formulate the clustering problem into the CHs selection procedure with the aim of maximizing the average network lifetime in every round. In particular, we propose a novel CHs selection scheme based on QPSO and investigate how effective it is to prolong network lifetime and reserve the overall battery capacity. The simulation results prove that the proposed QPSO outperforms other evolutionary algorithms and can improve the network lifetime by almost 10%.
For more details, please go to the link
Venue: Eng. 216
Time and Date: 2 to 3 PM, Wednesday, 10/02/16.
Any comments, advice would be appreciated.