Title :
Sensor Cooperation Based on Network Coding in Wireless Body Area Networks
Author :
Yun-Fan Meng ; Tuan-Fa Qin ; Jie Xing
Author_Institution :
Sch. of Comput. & Electron. Inf., Guangxi Univ., Nanning, China
Abstract :
In a typical monitoring system, physiological parameters such as Electrocardiography (ECG), Electromyography (EMG), and Electroencephalography (EEG) from various sensors placed strategically on human body are monitored for providing real-time feedback to the patient and medical staffs. For traditional point-to-point WBAN communication systems, sensors data are sent directly to the central sensor. In the direct transmission, those sensors´ signals are affected by fading because of reflection, diffraction, energy absorption, shadowing by body, body movement, clothes and the surrounding environment. To combat fading effect effectively, this paper attempts to introduce energy efficient network coding into novel MIMO-based multi sensor cooperation. In this paper, we investigate the performance in terms of system outage probability of proposed technique in comparisons to direct transmission, traditional cooperation and network coding-based sensor cooperation. Simulation results verify the accuracy of the analysis and demonstrate that cooperative communication scheme based on network coding in WBAN channel provides superior performance compared to other two schemes.
Keywords :
MIMO communication; body area networks; cooperative communication; electrocardiography; electroencephalography; electromyography; fading channels; network coding; probability; sensor fusion; wireless sensor networks; ECG; EEG; EMG; MIMO-based multi sensor cooperation; WBAN channel; body movement; cooperative communication scheme; diffraction; direct transmission; electrocardiography; electroencephalography; electromyography; energy absorption; energy efficient network coding; monitoring system; physiological parameters; point-to-point WBAN communication systems; real-time feedback; reflection; shadowing-by-body; system outage probability; wireless body area networks; Base stations; Body area networks; Network coding; Signal to noise ratio; Simulation; Wireless communication; Wireless sensor networks; Cooperative communication; Network coding; Wireless Body Area Network (WBAN);
Conference_Titel :
Wireless Communication and Sensor Network (WCSN), 2014 International Conference on
Print_ISBN :
978-1-4799-7090-2
DOI :
10.1109/WCSN.2014.80