Optimizing network lifetime in wireless body area network through cognitive radio

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Wireless body area network give numerous biological knowledge of patient?�?s and monitors patient?�?s health condition accordingly. In WBAN the most challenge is short network lifetime of nodes, caused by high energy consumption during transmission time and abnormal energy wastage. During transmission time distance has a great influence in consuming energy. Thus, in this study distance based algorithm is used to minimize power consumption during transmission time. Along with using the algorithm path loss and energy dissipation are considered as a performance metrics. At the end of the study the simulation result shows that path loss and energy dissipation are highly affected by distance. The second condition is energy consumption during abnormal energy wastage. Abnormal energy wastage is occurred by interference. This can be occurred because during the selection of channel for transmission important issues cannot be considered. For instance, issues like the availability of free channel, the probability of collision occurrence and so on. In this study, abnormal energy wastage will be minimized greatly by considering the availability of unused channel for transmission and by using appropriate spectrum sensing technique. All the simulation method will be carried out in MATLAB environment and Energy detection technique is employed to detect whether or not the spectrum is being used. Finally the effect of SNR parameter on the detection technique is discussed and the simulation result shows that minimum SNR value is needed to decode the received signal.

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