JOINT DESIGN OF DELAY CONSTRAINT AND ENERGY SAVING FOR EFFICIENT PACKET TRANSMISSIONS IN SMARTPHONES
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER AND ELECTRONICS TECHNOLOGY
Author(s): JENN-WEI LIN , J. MORRIS CHANG
Abstract: In this paper, delay constraint and energy saving are jointly studied for efficiently transmitting packets in smartphones. We propose a new energy-saving transmission mechanism. The proposed mechanism first utilizes the lazy transmission concept to estimate the last transmission interval of each packet. Before transmitting a packet p, we also adopt the accompanied transmission concept to involve more other packets tobe transmitted with packet p. The well-known knapsack problem can be applied to solve the selection of accompanied packets under a given bandwidth capacity. Finally, simulation experiments are performed to demonstrate the effectiveness of the proposed mechanism in the delay performance and energy conservation.
- Publication Date: 04-Aug-2013
- DOI: 10.15224/978-981-07-7227-7-01
- Views: 0
- Downloads: 0
A NEW BMI BASED METHOD FOR WHEELCHAIR ROBOT NAVIGATION
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER AND ELECTRONICS TECHNOLOGY
Author(s): MITSUKI KITANI , GENCI CAPI , MARSEL MANO
Abstract: Recent research has shown that Brain Machine Interface (BMI) can be used to assist disable people in navigating a robotic wheelchair by using voluntary mental intentions. BMI based navigation is a very challenging task. In this paper we present a novel adaptive method to improve BMI based robotic wheelchair navigation. The robot is controlled by an adaptive navigation platform that provides the user with scalablenavigation assistance. The platform is able to detect and avoid collisions by using a laser range finder sensor. Furthermore, by using computer vision it can read assistive information for visually impaired people (tactile pav-ing) on the floor and autonomously navigate the robot following tactile paving directions. Based on user intentions and environment context, the robot navigation adaptively changes between assisted andunassisted mode. Experimental results show that with the assis-tance of the adaptive navigation platform the robot navigation im-proves significantly. Furth
- Publication Date: 04-Aug-2013
- DOI: 10.15224/978-981-07-7227-7-02
- Views: 0
- Downloads: 0