tailieunhanh - Báo cáo hóa học: " Research Article Secure and Efficient Data Transmission over Body Sensor and Wireless Networks"

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 Secure and Efficient Data Transmission over Body Sensor and Wireless Networks | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2008 Article ID 291365 18 pages doi 2008 291365 Research Article Secure and Efficient Data Transmission over Body Sensor and Wireless Networks Narasimha Challa Hasan Cam and Madhur Sikri Computer Science and Engineering Department Arizona State University Tempe Az 85287 USA Correspondence should be addressed to Hasan Cam Received 16 June 2007 Revised 4 December 2007 Accepted 20 February 2008 Recommended by Yang Xiao This paper addresses the transmission of medical and context-aware data from mobile patients to healthcare centers over heterogeneous wireless networks. A handheld device called personal wireless hub PWH of each mobile patient first gathers and aggregates the vital sign and context-aware data for various telemedicine applications. PWH transmits the aggregated data to the remote healthcare center over multiple wireless interfaces such as cellular WLAN and WiMAX. The aggregated data contain both periodic data and those nonperiodic unpredictable emergency messages that are sporadic and delayintolerant. This paper addresses the problem of providing QoS . minimum delay sufficient data rate acceptable blocking and or dropping rate by designing a packet scheduling and channel network allocation algorithm over wireless networks. The proposed resource-efficient QoS mechanism is simple and collaborates with an adaptive security algorithm. The QoS and security are achieved mainly with the collaboration of differentiator delay monitor data classifier and scheduler modules within the PWH. This paper also discusses secure data transmission over body sensor networks by introducing key establishment and management algorithms. Simulation results show that the proposed framework achieves low-blocking probability meets delay requirements and provides energyefficient secure communication for the combination of vital signs and context-aware data. .