Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Location-Based Self-Adaptive Routing Algorithm for Wireless Sensor Networks in Home Automation | Hindawi Publishing Corporation EURASIP Journal on Embedded Systems Volume 2011 Article ID 484690 15 pages doi 2011 484690 Research Article Location-Based Self-Adaptive Routing Algorithm for Wireless Sensor Networks in Home Automation Xiao Hui Li 1 Seung Ho Hong 2 and Kang Ling Fang1 1 College of Information Science and Engineering Engineering Research Center of Metallurgical Automation and Measurement Technology Ministry of Education Wuhan University of Science and Technology Wuhan 430081 China 2 Department of Electronics Information and System Engineering Ubiquitous Sensor Network Research Center Hanyang University Ansan 426-791 Republic of Korea Correspondence should be addressed to Seung Ho Hong shhong@ Received 28 June 2010 Revised 10 October 2010 Accepted 17 January 2011 Academic Editor Peter Palensky Copyright 2011 Xiao Hui Li et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. The use of wireless sensor networks in home automation WSNHA is attractive due to their characteristics of self-organization high sensing fidelity low cost and potential for rapid deployment. Although the AODVjr routing algorithm in IEEE ZigBee and other routing algorithms have been designed for wireless sensor networks not all are suitable for WSNHA. In this paper we propose a location-based self-adaptive routing algorithm for WSNHA called WSNHA-LBAR. It confines route discovery flooding to a cylindrical request zone which reduces the routing overhead and decreases broadcast storm problems in the MAC layer. It also automatically adjusts the size of the request zone using a self-adaptive algorithm based on Bayes theorem. This makes WSNHA-LBAR more adaptable to the changes of the network state and easier to implement. Simulation results show improved network reliability as well as reduced .
