BeeCup: A bio-inspired energy-efficient clustering protocol for mobile learning
We explore clustering to improve energy efficiency of mobile learning network systems. A bio-inspired dynamic clustering protocol called BeeCup is proposed. We find a suitable fitness function of artificial bee colony for mobile learning. We propose two intelligent clustering maintenance methods to achieve load balance. Extensive simulations have been conducted to evaluate the performance of BeeCup.
clustering mobile learning energy efficiency artificial bee colony biologically-inspired computation