TY - GEN
T1 - Poster Abstract
T2 - 12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2015
AU - Huang, Hua
AU - Lin, Shan
AU - Chen, Lin
AU - Gao, Jie
AU - Mamat, Anwar
AU - Wu, Jie
N1 - Publisher Copyright: © 2015 IEEE.
PY - 2015/12/28
Y1 - 2015/12/28
N2 - Recent advances in energy transfer technology is boosting the development of renewable sensor networks. To sustain such a network, a mobile robot travels from node to node to recharge each sensor before its battery runs out. To solve this problem, we propose a spatial dependent task scheduling algorithm, which quantifies the impact of scheduling proximate tasks on the other tasks. Our evaluation results show that our algorithms out-perform classical TSP scheduler by up to10% and 85% in terms of coverage ratio and average tardiness, respectively.
AB - Recent advances in energy transfer technology is boosting the development of renewable sensor networks. To sustain such a network, a mobile robot travels from node to node to recharge each sensor before its battery runs out. To solve this problem, we propose a spatial dependent task scheduling algorithm, which quantifies the impact of scheduling proximate tasks on the other tasks. Our evaluation results show that our algorithms out-perform classical TSP scheduler by up to10% and 85% in terms of coverage ratio and average tardiness, respectively.
UR - https://www.scopus.com/pages/publications/84964596823
U2 - 10.1109/MASS.2015.99
DO - 10.1109/MASS.2015.99
M3 - Conference contribution
T3 - Proceedings - 2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2015
SP - 465
EP - 466
BT - Proceedings - 2015 IEEE 12th International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2015
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 19 October 2015 through 22 October 2015
ER -