Title :
Weighted mobility aware sampling system for wireless sensor networks
Author :
Own, Chung-Ming ; Lu, Shau-yuan ; Li, Wen-Chen
Author_Institution :
Dept. of Comput. & Commun. Eng., St. John´´s Univ., Taipei, Taiwan
Abstract :
In this paper, the authors propose an energy and mobility aware system for wireless sensor network. The remaining battery capacity, mobility, velocity, and distance to the critical point are taken into consideration for the next moving, and a fuzzy logic system is applied to the decision making for the moving possibility of mobile unit. Simulation results show that this scheme can extend the network lifetime longer than the general applied fixed-rate sampling system, and meets the accuracy requirements of applications.
Keywords :
fuzzy logic; mobile radio; signal sampling; wireless sensor networks; battery capacity; fixed rate sampling system; fuzzy logic system; network lifetime; weighted mobility aware sampling system; wireless sensor networks; Cybernetics; Machine learning; Sampling methods; Wireless sensor networks; Location aware system; energy consumption; fuzzy inference system;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212605